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Amperity Turns Real-Time Customer Context into Meaningful Brand Experiences

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Business Wire
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Amperity Turns Real-Time Customer Context into Meaningful Brand Experiences

A new system connects customer context, action, and continuous learning to power decisions in the moments that matter

Amperity, the leading AI-powered Customer Data Cloud, announced a new set of AI assistants and real-time capabilities that help organizations act on customer signals the moment they happen. Unveiled at Amplify 2026, the release brings together real-time customer context, decisions, and execution in a single system, so teams can act in the moment instead of hours or days later. Amperity empowers teams to pivot from manual operational labor to high-velocity strategic leadership, closing the gap between insight and impact.

At the core is a shared layer of real-time customer context, unifying identity, behavior, and history so every decision and experience is grounded in what is actually happening.

Customers expect brands to know them and respond in the moment, but most experiences still miss the mark, arriving too late, feeling irrelevant, or failing to connect. Even with more data and AI than ever, brands struggle to act when it matters. Without a complete and real-time view of the customer, even the most advanced AI produces disconnected experiences. The result is missed opportunities and eroding trust. The challenge is not just data. It is the gap between what brands know and what they can do in the moment.

“Organizations have invested heavily in customer data and AI, but many still struggle to operationalize those investments in real time,” said Gerry Murray, research director, enterprise marketing apps and agents at IDC. “What we’re seeing is a shift from systems of analysis to systems of analysis and action. Platforms that can connect trusted customer data with real-time decisioning and execution are becoming critical to how marketing and customer experience teams operate.”

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A System for Real-Time, Customer-Led Decisions

Today’s release introduces a system for real-time, customer-led decisions, built on Amperity’s trusted, identity-resolved customer profiles:

  • Recommended Actions surfaces the current customer trends and the highest-value actions teams should take, in plain language and ready to execute.
  • Amperity MCP Server brings real-time customer intelligence into any tool or workflow without duplicating data.
  • Real-time Activation powers in-session personalization and immediate response to behaviors like cart abandonment.
  • Amp Insights provides visibility into your Amps usage and transparency into costs across the business.

Decisions are driven by live customer signals, not pre-defined campaigns or static journeys.

“Marketing still relies on guessing and reacting after the fact,” said Dr. Grigori Melnik, chief product officer at Amperity. “What we are changing is the ability to know, act, and learn in the same moment. The system no longer waits for a manual command or a ticket; it reasons through intent. That’s what makes it agentic – and what allows teams to move from campaigns to continuous decisions that get smarter over time.”

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Acting in the Moment

New real-time solutions for site personalization and cart abandonment allow brands to recognize customers instantly, convert anonymous visitors to known profiles, personalize experiences in-session, and trigger recovery journeys the moment abandonment occurs while automatically suppressing outreach after purchase.

Built on Trusted Customer Data

Unlike traditional approaches, every recommendation and action is grounded in a rich, real-time customer profile. This ensures AI operates on accurate, governed data, so speed doesn’t come at the expense of trust.

Every action feeds back into this shared layer of customer context, creating a continuous learning loop that improves decisions over time – without adding complexity for teams.

This changes the outcome:

  • More relevant, real-time customer experiences in the moments that matter
  • Faster execution, enabling teams to move at the speed of the customer
  • Greater efficiency, reducing manual work and operational friction
  • Increased business impact, driving higher engagement, conversion, and returns

The brands that win won’t be the ones with more data. They’ll be the ones that can act on it – continuously, in the moment, and with every interaction.

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Alchemer Expands Digital Capabilities to Help Organizations Capture and Act on In-App Feedback

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Business Wire
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Alchemer Expands Digital Capabilities to Help Organizations Capture and Act on In-App Feedback

New enhancements enable organizations to continuously capture in-app feedback, understand evolving user sentiment and improve digital experiences securely and at scale

Alchemer, a leader in customer experience and feedback technology, announced the latest release of Alchemer Digital, which introduces powerful new capabilities that help organizations capture, understand and act on in-app feedback with greater speed, efficiency and precision. Key enhancements include recurring digital prompts, multi-target interactions along with a faster, more secure SDK.

A part of Alchemer’s feedback and intelligence platform, Digital is used by businesses and consumer brands to collect feedback within mobile apps, websites and SaaS applications. It provides a clear, continuous view of user experience with opportunities to capture feedback, engage users and understand sentiment.

“Digital teams need continuous, contextual feedback that connects to action and results,” said Ryan Tamminga, Chief Customer Officer, Alchemer. “Our latest Digital release extends our ability to make it easier for organizations to capture meaningful in-app insights with a best-in-class user experience, while also increasing their app store ratings.”

Alchemer Digital Drives Business Outcomes

Across Alchemer’s customer base, Alchemer Digital reaches more than 500 million people per month. Customers have the ability to target users for feedback, review requests and other interactions. More than 55 million people interact with Digital each month and more than half (58%) show intention to leave a review.

  • 85% of Alchemer Digital customers who had a 2-star rating improved their brand’s app store rating to over 4.5 stars within the first year of implementing Digital.
  • Alchemer Digital customers with a 3-star rating improved their average app store rating by nearly a full star to 3.8 within 60 days of implementation.

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Flashscore Boosts Response Rates and Revenue

Flashscore, a global leader in real-time sports scores, statistics and updates, chose Alchemer Digital for its flexibility and scalability. Launching surveys directly within the digital app boosted Flashscore’s response rates to 20 percent.

“Alchemer Digital has been game changing in how we engage our global audience,” said Matěj Kvasnička, Head of Product Design and Research, Livesport/Flashcore. “With more than 100 million monthly users, we needed a solution that could scale across channels while delivering actionable insights in real time. With Alchemer, we significantly increased response rates and uncovered strategic insights that directly fueled new revenue opportunities. The flexibility, reliability and enterprise-grade execution have allowed us to turn feedback into a growth engine.”

Alchemer Digital Enhancements

Recent releases and updates to Alchemer Digital include:

Recurring Digital Prompts

Alchemer’s recurring digital prompts, designed to improve response rates, help organizations easily connect with customers in-app multiple times to drive outcomes and encourage feedback. By automatically engaging users more than once, organizations can be more efficient and effective in gaining feedback, achieving satisfaction and tracking sentiment changes. The recurring prompts are easy to set up and are triggered directly within the app.

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Multi-target Interactions

Alchemer Digital’s multi-target interactions capability allows CX teams to efficiently create, manage and track surveys and prompts across multiple apps from one place. Consolidated reporting dramatically simplifies setup and reduces duplication of efforts. Teams can experiment, test and reach broader segments faster with little to no dependence on development resources, providing greater control and flexibility for rolling out new features, validating an update or improving upon a workflow.

Faster, More Secure SDK

The latest Digital SDK reduces the app footprint, accelerates load times and delivers enterprise-grade security and a better user experience.

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Nordis Technologies Promotes Nicole Miller to President

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Business Wire
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Nordis Technologies Promotes Nicole Miller to President

Nordis Technologies, a fast-growing leader in omnichannel customer communications management and payments technology solutions, has named Chief Operating Officer Nicole Miller to the additional role of President. Miller is leading all day-to-day operations as Founder Ronnie Selinger steps back from those responsibilities to dedicate more of his focus to the company vision, strategy and growth as Chief Executive Officer.

Miller’s unique blend of operational expertise, product strategy, and people leadership has been instrumental in enhancing Nordis’ competitive positioning and market expansion. After joining Nordis in 2018 as Vice President of Client Services, she was promoted to COO in 2020 and assumed oversight of the CTO role in 2024.

“Nicole is a skilled leader. She brings not only intelligence and discipline to the business but also a deep sense of care, connection, and purpose in how she leads people. She has been a true partner in shaping where we are today and where we are going. With new services and AI-enhanced products in our pipeline, we are building on the strong foundation and momentum that we’ve created together,” Selinger said.

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Among her accomplishments at Nordis, Miller:

  • Developed and executed the strategy to protect Nordis intellectual property that has resulted in a patent of 27 inventions so far for its flagship customer communications management platform Expresso®
  • Implemented companywide standard operating procedures and key performance indicators
  • Modernized and automated company infrastructure, including printing and mailing operations
  • Designed and is overseeing the ongoing AI enablement of the company, including all internal systems and processes
  • Is leading Expresso modernization, including improved user interface, features and channel integration to enhance client capabilities and experience

“It has been exciting and gratifying to help upgrade and expand Nordis’ solutions, structures and systems to ensure we stay ahead of the curve in orchestrating how businesses communicate and get paid. As we continue to innovate, automate, streamline and scale, we are keeping our focus on enabling clients to meet changing consumer and industry expectations while delivering more engaging people-first billing and payment experiences,” said Miller.

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Before joining Nordis, Miller was COO of an AI startup focused on employee engagement. She also held key leadership roles at Zoom+Care, CarePayment, and Experian Healthcare. Earlier in her career, she held operational and product leadership roles at SOE Software, WebMD, Sage, and RelayHealth—where she was known for building high-performing teams, developing scalable platforms, and championing customer-centric innovation.

Miller has written the book Keys to the Men’s Room, which is available as an ebook in May 2026 and in hard copy in June. In the book, Miller deconstructs the unwritten organizational rules and subtle structures that unintentionally favor men, making women work harder for less. She presents the Femme Flex™, a new business mindset and model that allows companies to capitalize on the full talent, innovation and energy of their workforce and enables all employees to thrive in their careers, including reaching executive leadership positions.

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Verse.ai integrates with VoApps to combine text outreach with DirectDrop Voicemail

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MTS Staff Writer
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Verse.ai integrates with VoApps to combine text outreach with DirectDrop Voicemail

Verse.ai a NiCE Company Logo

As phone answer rates drop, Verse.ai, an AI-powered texting platform, integrates with VoApps to enable SMS and voicemail delivery for non-intrusive outreach.

Verse.ai, a NiCE company, which focuses on AI-powered customer texting, now integrates with NiCE sister solution VoApps, which provides ringless DirectDrop Voicemail. The integration of the two technologies enables companies to combine text and voicemail outreach, which more effectively caters to today’s customer expectations.

As customer preferences evolve, outbound calls are viewed as disruptive, and even anxiety-inducing for some. DirectDrop Voicemail delivers voicemails without the phone ringing for non-disruptive messaging that allows customers to reply when they are ready.

Across all age groups, texting is the most effective channel for customer communication, with two-way text conversations growing in popularity for brands wanting to better connect with their customers. In fact, 78% of people prefer that businesses text them rather than call.

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On the other hand, only 13% of outbound calls from businesses are answered, making them a comparatively expensive and inefficient way to reach out. With call answer rates continuing to decline, companies must pivot from the traditional call-first approach.

The data speaks for itself: 98% of text messages are read, and 87% of voicemails are read or listened to. Combining text messaging with ringless voicemail can save companies time and costs, reducing the cost of manual dialing by 90%.

“Voicemail drops are much more effective than placing a thousand outbound calls with only a handful answered,” says Damien Swendsen, SVP of Revenue at Verse. “People don’t pick up the phone anymore. For most sales teams, manual dialing is a costly time sink—especially with compliance becoming more challenging each year. Compliant, text-based outreach with voicemail drops actually drives inbound calls with motivated people who want to talk. It empowers sales teams to do better outreach in a way that people actually embrace, and that’s what we do here at Verse. So your team can spend more time talking to people, and less time waiting for them to answer.”

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Verse provides fully-managed AI texting which responds immediately to prospects and customers 24/7, driving inbound calls and booked appointments when they are ready. Verse nurtures leads via text and email, and allows for call live transfers when the lead is ready.

VoApps DirectDrop Voicemails use patented technology to drop voicemail messages directly to recipients’ inboxes, validating the message, improving trust, and providing methods for recipients to get in touch with brands how they prefer. Both Verse and VoApps solutions operate in full compliance with the TCPA and other governing regulations, providing risk-free and effective communication.

Combining both technologies, Verse and VoApps integration supports an omnichannel approach to better meet customers on their smartphones—without any extra lift. Verse’s texting plus ringless voicemail enables respectful, compliant, cost-effective outreach that enables people to reply on their time and their terms.

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N Solutions and Mudrick & Associates Announce Partnership to Bring AI Into Everyday Business Decisions

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MTS Staff Writer
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N Solutions and Mudrick & Associates Announce Partnership to Bring AI Into Everyday Business Decisions

N Solutions - Management Consulting Fueled by Data Analytics

N Solutions and Mudrick’s partnership will enhance how organizations operate and make decisions by integrating AI capabilities into core business processes.

N Solutions and Mudrick & Associates have announced a strategic partnership designed to enhance how organizations operate and make decisions by integrating advanced AI capabilities into core business processes and infrastructure.

The collaboration brings together two complementary areas of expertise. N Solutions works directly with clients to define business challenges, streamline processes, and establish the operational and data foundations needed to support efficient, scalable decision-making. Mudrick & Associates specializes in data science and artificial intelligence, building advanced models and agentic solutions that augment workflows and extend how organizations analyze, interpret, and act on information.

Through the partnership, companies can move beyond static dashboards and disconnected workflows to more interactive, AI-enabled environments. Teams can explore information in real time, ask better questions, and evaluate scenarios dynamically—creating a more responsive and intuitive approach to running the business.

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In practical terms, this allows organizations to shift from passive reporting to active decision support. Rather than simply reviewing what has happened, teams gain the ability to understand what is happening and anticipate what comes next.

A key component of the approach is flexibility and ownership. Rather than relying solely on third-party AI platforms, the solutions developed through this partnership are designed to integrate within existing business environments and be owned by the client—reducing dependency on external systems while strengthening long-term operational control.

“AI is most effective when it’s built on a strong operational and data foundation,” said Michael Patton, Co-Founder and COO of Mudrick & Associates. “N Solutions brings that foundation to the table, allowing us to build AI solutions in a way that is both practical and immediately impactful.”

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“Our role has always been to help clients simplify what’s complicated and make better decisions across their business,” said Jen Nenadov, Founding Partner at N Solutions. “This partnership extends that capability by making systems more connected, processes more efficient, and decision-making more accessible—without adding unnecessary complexity.”

Early work is already underway with multiple clients, where existing systems, workflows, and reporting structures are being enhanced with AI-enabled capabilities that improve speed, clarity, and confidence in decision-making.

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iVerify Expands Mobile EDR with SmishGuard to Stop Mobile Phishing and Identity Compromise

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MTS Staff Writer
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iVerify Expands Mobile EDR with SmishGuard to Stop Mobile Phishing and Identity Compromise

SmishGuard addresses a high-converting initial access vector in enterprise security: mobile messaging attacks that bypass email and endpoint controls.

iVerify, the leader in advanced mobile endpoint detection and response (EDR) solutions, today announced the launch of SmishGuard, a mobile-native defense against SMS and voice-based social engineering. SmishGuard addresses one of the highest-converting initial access vectors in enterprise security: mobile messaging attacks that bypass traditional email and endpoint controls.

Mobile devices have become the primary identity and access layer for enterprise users through phone-based multi-factor authentication, but remain largely unprotected against sophisticated social engineering attacks. Smishing, or SMS/RCS phishing, is now the number one delivery vector for credential theft on mobile. Users are six to ten times more likely to click SMS phishing links compared to email, and 80% of phishing sites are optimized for mobile. When combined with a SIM swap, smishing creates a direct path for 2FA bypass and account takeover.

Traditional defenses are proving ineffective as messaging moved from SMS to encrypted RCS, rendering carrier filtering, secure SMS gateways, and mobile threat defense (MTD) solutions ineffective. Legacy solutions are reactive, blind to encrypted RCS, and fail against linkless spear phishing and voice-based attacks, known as vishing. Traditional phishing filters operate on known-bad URL lists, meaning any malicious domain not already observed and cataloged will pass through unblocked. Attackers exploit this predictably, rotating infrastructure to stay ahead of blocklists. A growing share of mobile social engineering attacks sidestep the problem entirely, carrying no URL at all and relying on message content alone to manipulate recipients into disclosing credentials or authorizing transactions.

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SmishGuard is the first enterprise-grade smishing protection solution designed to detect linkless attacks and work across messaging platforms, including SMS, RCS, WhatsApp, and Signal. Its core differentiation lies in its privacy-preserving architecture. Only the information required to determine whether a message is malicious is analyzed, and no unnecessary user data is ever retained. SmishGuard is multi-layered, combining cloud-based analysis with fleet-wide threat intelligence to protect users without compromising privacy, a critical factor for BYOD adoption:
— Multifactorial Cloud-Based Analysis: Messages from unknown senders are analyzed through a privacy-preserving cloud pipeline that evaluates sender reputation, message content, and behavioral signals to determine whether a message is malicious.
— Advanced Detection: The platform uses natural language processing to analyze content for manipulation patterns like urgency, authority, and fear, alongside an ML model for spear-phishing signals instead of relying on known bad URL matching.
— Cross-Platform Coverage: It ingests messages via SMS and uses OCR-based ingestion for content shared via screenshots on WhatsApp, Signal, and iMessage.
— Fleet-Wide Protection: Confirmed threats propagate across devices through fleet-wide intelligence, enabling real-time blocking of malicious numbers, domains, and VoIP sources for the entire organization.
— Integration: Alerts stream directly into SIEM/XDR platforms, providing SOC teams with visibility into mobile attacks and integration into existing workflows.

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“Mobile attacks have evolved far past what existing MTD and email security tools were built to handle, turning mobile devices into a credential faucet,” said Rocky Cole, COO and co-founder of iVerify. “Phones now hold the keys to enterprise identity through MFA and SSO, yet SOC teams have had no visibility into what’s happening in SMS, WhatsApp, or voice channels. SmishGuard closes that gap, giving security teams the signal they need to stop social engineering before it becomes an identity compromise and reinforcing Zero Trust at a layer that has been largely unmonitored.”

The launch of SmishGuard expands iVerify’s platform from device security to identity protection, and adds social engineering defense to its mobile EDR product at no additional cost.

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Fast Simon Appoints Shaun Lin to Scale Global Partner Program and Meet Demand for AI E-commerce Shopping Optimization

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Globe Newswire
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Fast Simon Appoints Shaun Lin to Scale Global Partner Program and Meet Demand for AI E-commerce Shopping Optimization

Fast Simon Inc.

Fast Simon has named Shaun Lin as director of partnerships, tasking him with expanding the company’s agency and technology partner network across the United States and Australia. Lin has more than two decades of e-commerce and B2B SaaS experience, most recently at Bazaarvoice, where he scaled channel programs fivefold.

Agencies implementing search and discovery for their clients are losing margin to long implementation cycles and custom development work. At the same time, customer acquisition costs have risen sharply across typical paid channels.

Brands that relied on top-of-funnel spend are now under pressure to get more revenue from existing traffic, and to do it faster. This is reshaping how agencies position merchandising, personalization, search, and AI Shopping Assistants — from what once were optional are now core retention tools.

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Fast Simon addresses these issues directly. Offering AI solutions across Shopify, BigCommerce, and Magento means partners can activate advanced merchandising, personalization, and search within a client’s existing stack without leaning on development resources.

Lin’s mandate focuses on the full partner lifecycle: recruiting new technology and agency partners, enabling partners to deliver conversion improvements, and reducing development overhead that slows down brands from launching personalization features quickly.

Lin’s arrival enables Fast Simon to build a high-powered partner infrastructure as on-site performance becomes the primary growth lever for brands. The US and Australian markets share similar characteristics: a concentration of brands large enough to require enterprise-grade discovery but lean enough that implementation needs to be lightning quick.

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“The e-commerce partner ecosystem is evolving rapidly,” said Zohar Gilad, CEO of Fast Simon. “Agencies are asked to deliver more than just websites: They are asked to deliver measurable revenue. Shaun has spent his career successfully connecting partner capabilities and client revenue. That’s exactly the model we need to scale.”

“E-commerce brands are sitting on unconverted traffic,” said Lin. “The gap isn’t a lack of products. The gap is implementation friction. We’ll help our partners remove friction and implement faster.”

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Bastion appoints Insights Industry Leader Vanessa Dziura as President, Insights

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Globe Newswire
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Bastion appoints Insights Industry Leader Vanessa Dziura as President, Insights

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Bastion appoints Insights Industry Leader Vanessa Dziura as President, Insights 

Bastion has appointed Vanessa Dziura as President, Insights, USA, further strengthening its global insights capability as the agency continues a period of significant international growth.

Dziura joins Bastion with extensive experience across market research, customer insights and strategic consulting. She has held senior leadership roles including Head of Global Market Research at Medallia and SVP, Managing Director at Northstar Research, where she built and led high-performing teams and delivered scalable growth through integrated qualitative and quantitative methodologies.

Her appointment comes at a pivotal time for Bastion in the US, as the business continues to expand its integrated offering designed to put brands, organizations and people in a position of strength. By bringing together deep insights expertise with Bastion’s broader integrated offering, the agency is focused on delivering commercially impactful, end-to-end solutions for modern marketers.

Jeff Browe, CEO, Bastion USA, said Dziura’s leadership and proven ability to translate insights into business outcomes will be critical to the agency’s next phase of growth in the US.

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“Vanessa is an exceptional insights leader with a track record of building high-performing teams and delivering work that directly influences business decisions. Her ability to connect data, strategy and storytelling aligns perfectly with how we partner with our clients. As we continue to scale in the US, Vanessa will play a key role in strengthening our insights capability and putting our clients in a position of strength.”

Dziura said Bastion’s integrated model and ambition in the US market made the opportunity compelling.

“Bastion has built a genuinely differentiated model that brings together insights, strategy and execution in a way that drives real impact. The focus on outcomes, combined with the collaborative and entrepreneurial culture, creates a powerful platform for both clients and teams. I’m excited to join at this stage of growth and to build an Insights offering that helps unlock new opportunities and deliver meaningful results.”

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The appointment follows continued expansion for Bastion across key markets, including new business momentum, capability growth and senior hires internationally, reinforcing its position as one of the region’s leading marketing and communications groups.

As a large independent marketing and communications agency, Bastion combines the scale and capability of a global network with the agility of an independent, delivering integrated solutions designed for the modern marketer.

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Adobe’s New Productivity Agent Redefines How People Understand, Create and Share Information

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Business Wire
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Adobe’s New Productivity Agent Redefines How People Understand, Create and Share Information

  • New productivity agent enables people to chat with PDFs, surface insights and quickly create presentations, podcasts, blogs and social posts from their documents

  • Productivity agent is powering new sharing and publishing capabilities in PDF Spaces in Acrobat that turn static files into interactive experiences with customized AI assistants that represent senders’ tone and intent; now available in Acrobat Express and Acrobat Studio

  • Top creators and brands including VICE News, Kid Cudi, Jessica Yellin and Mindy Weiss are using Acrobat’s new sharing and publishing capabilities to build deeper trust and engagement with their audiences

Adobe the global technology leader that unleashes creativity, productivity and customer experiences through innovative tools and platforms unveiled Adobe’s productivity agent, which brings decades of Acrobat document intelligence into a single agentic interface to transform how people understand, create and share information. The agent orchestrates tools and models to generate images, text and rich content like presentations, podcasts and social posts and power conversational PDF editing in Acrobat. It also unlocks the new sharing and publishing capabilities in PDF Spaces, an AI-powered workspace where you can combine files, links and notes to do research, get insights and create content.

The new productivity agent and sharing capabilities are available in Acrobat Express – a new offer that combines AI-powered document insights, premium content generation and information sharing all in one place – and in Acrobat Studio, which includes all features in Acrobat Express along with AI PDF tools.

Adobe’s productivity agent is part of a broader agentic vision that’s redefining how people work. Designed to operate seamlessly with Adobe’s creative agent and agents developed by third parties, it works across documents, data and systems to execute tactics and orchestrate outcomes – freeing people to focus on the vision, the judgment and the work that only they can do. Adobe’s creative agent is transforming how people create; the productivity agent orchestrates everything necessary so people can get insights faster, generate rich content quickly and share knowledge with interactive experiences. Together, they represent Adobe’s commitment to keeping humans at the center of an agentic future.

“Adobe’s productivity agent is redefining how people work with information,” said David Wadhwani, President, Creativity & Productivity Business, Adobe. “We’re bringing together decades of Acrobat’s document intelligence with agents to help people discover insights faster, generate visually rich content effortlessly and share interactive experiences with customized agents that convey their tone and intent.”

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Setting a New Standard for Sharing

Adobe invented PDF, which has defined how the world shares its most important information. Today people open more than 400 billion PDFs and send more than 200 million PDFs in Acrobat every year. With the new publishing and sharing capabilities in Acrobat, the company is setting the next standard, transforming documents and files into interactive, personalized experiences that inform, engage and drive action. The productivity agent works behind the scenes, generating titles, summaries and audio overviews from documents and links in a PDF Space. Senders can add context, reorder files to provide emphasis and customize an AI Assistant for the shared experience that answers questions, provides suggestions and helps recipients easily get the information they need.

This new format enables people to:

  • Create a tailored space. Bring PDFs, documents, links and notes together in one place. The agent quickly generates the space, so the sender can focus on refining the experience with context, structure, emphasis and multimedia content so recipients can focus on what matters most. When documents are updated, the shared experience updates, too, so recipients always have the latest information.
  • Customize an AI Assistant to fit the moment. Tell the AI Assistant about your goals and recipients. Share it along with the experience to answer questions, provide suggestions and help recipients get the information they need to make confident decisions.
  • Get recipients up to speed fast with an audio overview. The agent automatically generates an audio summary of the information to help orient recipients before they dive in. A fully editable script helps ensure the right message comes through every time.
  • Add your brand. Include a logo and color palate to create a professional, on-brand experience.
  • Follow up with confidence. The agent provides engagement insights to help make follow-up timely and informed.

“We’re not just adding new features, we’re introducing a new format,” said Abhigyan Modi, SVP, Adobe Document Cloud. “For the first time, sharing documents means sharing an experience that’s tailored to your intended audience, whether that’s a client, a team or a million subscribers. Now every one of those experiences can be as personal and purposeful as the work that went into creating it.”

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Share With a Single Person, a Team or Millions

Leading publishers and creators are already using shared experiences in PDF Spaces to build trust and deeper engagement with their audiences. VICE News, best known for its immersive on-the-ground reporting that tackles complex global issues in a real and authentic way, will leverage PDF Spaces in Acrobat in its on-the-ground reporting and cross-platform content reaching more than 20 million followers. The new capabilities in PDF Spaces are enabling VICE News to create interactive, explorable experiences layering primary documents, research and supporting materials directly alongside published stories. Audiences can use an AI assistant to go deeper into every story, exploring sources, following threads of curiosity and engaging further with reporting.

Grammy-winning artist, actor, and cultural icon Kid Cudi and his team are using PDF Spaces to prepare for his new podcast series, Big Bro with Kid Cudi, and help fans go deeper into episodes with behind-the-scenes exclusives, guest stories, and Big Bro advice from Cudi himself. Jessica Yellin, award-winning journalist and founder of News Not Noise, a platform dedicated to making sense of the news for a community of millions, is using PDF Spaces to give her audience rich background on the stories she shares. Mindy Weiss, celebrated event planner and tastemaker whose designs have shaped some of the most iconic celebrations in pop culture, is using PDF Spaces to share her wedding planning expertise so her followers can create the moment of their dreams.

The new sharing capabilities unlock new ways for everyone to engage colleagues and managers, customers and prospects or friends and family.

Sales teams can combine proposals and case studies into a single branded experience, so every stakeholder gets a consistent, compelling story and engagement insights that tell reps who to follow up with and how. Marketers can turn research and launch announcements into guided experiences that move audiences to action. HR and compliance leaders can share onboarding packages and policy updates while engagement data helps them understand where employees need more support. Executives and finance teams can distribute board pre-reads and investor briefings as cohesive, guided narratives that give stakeholders everything they need to make informed decisions.

PDF Spaces also makes it easy to share information in everyday life. From travel itineraries to community updates, anyone can create an interactive experience that gives people everything they need in one place without endless email chains or group texts.

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Aircall Acquires Vogent to Advance Its AI Voice Agent Built Natively into Business Phones

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Business Wire
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Aircall Acquires Vogent to Advance Its AI Voice Agent Built Natively into Business Phones

Aircall, the AI-powered customer communications platform trusted by more than 22,000 businesses worldwide, announced the acquisition of Vogent, an AI voice agent company. The acquisition adds a new layer of specialized voice AI technology to Aircall’s platform – strengthening the technology behind Aircall’s AI Voice Agent and moving it from already great to best-in-class.

“Aircall has always focused on helping teams have better conversations with customers. Our AI Voice Agent helps businesses automate high-volume interactions on the communications platform they trust for voice.” — Scott Chancellor, CEO, Aircall

While AI agents’ chat or email based communication channels have exploded in popularity, voice is its own discipline – with unique demands around timing, interruption handling, call flows, and production reliability. Voice channel also comes with the highest expectations from customers, further putting scrutiny around the readiness of the technology. For many businesses deploying AI voice agents, the experience has not lived up to the hype.

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With Vogent, Aircall enhances its AI Voice Agents with a deeper set of specialized AI technologies, including advanced speech models, more reliable turn-taking, and higher precision over how AI models behave in those live phone calls. Integrated with Aircall’s easy-to-use platform, growing businesses around the world can deploy voice agents without any specialized technical expertise while still having access to best-in-class voice agents that drive reliable outcomes – more reliable automation on repetitive calls, better customer qualification on inbound opportunities, stronger containment before escalation, and when necessary, seamless hand-off experience to their teams.

Vogent’s San Francisco-based team joins a company accelerating its presence across the US in major tech hubs of San Francisco, Seattle, and New York. Along with its deep European roots, Aircall AI is committed to providing best-in-class AI customer communication services to businesses globally.

“Aircall has always focused on helping teams have better conversations with customers. Our AI Voice Agent helps businesses automate high-volume interactions on the communications platform they trust for voice. With Vogent, we are taking the next step: deepening the AI stack behind that experience with more technology and expertise across voice activity detection, conversational flow routing, custom voice models, and continuous refinement. That is where voice AI becomes truly valuable – not when it is added as a feature by a generalist CX platform, but when it is built by a company that understands voice at its core.” — Scott Chancellor, CEO, Aircall

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“At Vogent, we’ve had one focus: building the most advanced voice AI pipeline on the market. That means custom models throughout the stack, from the voices themselves to turn detection, interruption handling, and latency management, because those are the things that separate a demo from something you can trust on a real customer call. That focus has powered millions of dials for businesses across industries.” — Vignesh Varadarajan, CTO, Vogent

“When we started talking to Aircall, the fit was clear. They had already built a strong AI Voice Agent on top of a platform trusted by 22,000 businesses, and bringing our technology and customers to that platform means the pipeline we’ve spent years refining can now reach businesses at a scale we couldn’t have built toward alone.” — Jagath Vytheeswaran, CEO, Vogent

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Medita Communication Joins Brandi AI’s Global Agency Partnership Program to Help PR and Marketing Clients Strengthen AI Visibility, Trust and Recognition Across Generative AI Platforms

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Medita Communication Joins Brandi AI's Global Agency Partnership Program to Help PR and Marketing Clients Strengthen AI Visibility, Trust and Recognition Across Generative AI Platforms

First Finnish agency partner will use Brandi AI to help PR and marketing clients measure, understand and improve how their brands appear in AI-generated answers on ChatGPT, Gemini, Claude, and Perplexity

Medita Communication, a content and digital marketing and PR agency specializing in the technology industry and expert sectors, and Brandi AI, the industry’s most comprehensive, intelligence-driven platform for enterprise AI visibility and Generative Engine Optimization (GEO), jointly announced that Medita has joined Brandi AI’s Brandi Agency Partnership Program.

Medita is the first Finnish agency to join the program, expanding Brandi AI’s agency partner network into Finland and strengthening support for brands operating in Finnish, Nordic and international markets. The Brandi Agency Partnership Program helps PR, communications, SEO and digital marketing agencies give clients a clearer view of how their brands are represented, cited and trusted in AI-generated answers across platforms such as ChatGPT, Gemini, Claude and Perplexity.

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As generative AI reshapes how audiences discover and evaluate brands, agencies have a new responsibility: to ensure their clients are visible and trusted where decisions and information searches now begin. Through its partnership with Brandi AI, Medita will help clients uncover how their brands are represented across AI platforms, identify opportunities to strengthen credibility and translate that insight into lasting market trust.

“The partnership program is a great opportunity for us to explore and leverage new technology for the benefit of our clients, particularly in our own language market, but also across borders. With Brandi AI, we can finally show clients how they appear inside AI-generated answers—and, just as importantly, why they do or don’t show up,” said Mika Särkijärvi, Senior Advisor and co-founder of Medita Communication. “Brandi AI reveals what’s influencing visibility across tools like ChatGPT and Claude—from missing context to weak trust signals—so we can take clear, data-backed action. Brandi AI is giving brands visibility and control in the AI discovery layer where buying decisions increasingly start but have long been impossible to measure.”

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Brandi AI supports CMOs in defining marketing category strategy and content, and Head of Communications or PR, SEO, and digital marketing teams in driving visibility.

“Agencies partnering with Brandi AI are changing the game for how brands create value in the AI era,” said Leah Nurik, co-founder and CEO of Brandi AI. “Together, we’re helping clients understand how their brands are discovered, described, cited and trusted by AI platforms—and translate those insights into stronger, more authentic visibility across the channels where audiences now seek answers.”

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AI-Native Partner Co-Selling Management Launches in ZINFI Unified Partner Management — Privacy-First, Multi-Persona Co-Sell for the Channel and Partner Ecosystem

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AI-Native Partner Co-Selling Management Launches in ZINFI Unified Partner Management -- Privacy-First, Multi-Persona Co-Sell for the Channel and Partner Ecosystem

New AI co-sell platform built into the SELL zone of ZINFI’s UPM platform orchestrates a 12-step co-sell flow across Global Admins, Partner Account Managers, channel partner sales reps, and Alliance/ISV partners, with privacy-first mutual opt-in matching and field-level visibility governance for every joint account.

ZINFI Technologies, Inc. is the #1 user and analyst-rated channel management and partner ecosystem management platform for technology and manufacturing companies and the industry leader in Unified Partner Management (UPM), delivering enterprise-grade solutions for Partner Relationship Management (PRM), Channel Management, Partner Marketing Management, Partner Ecosystem Management, and Partner Incentives Management. Today, ZINFI announced the general availability of its AI-native Partner Co-Selling Management application — the most comprehensive AI co-sell platform in the partner ecosystem management category — now live inside ZINFI’s Unified Partner Management (UPM) platform. ZINFI is rated 97/100 on G2 — the highest customer satisfaction score in the Partner Relationship Management category — for the 15th consecutive quarter since 2019, based on 600+ verified G2 reviews.

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Key Capabilities at Launch

  • AI-driven partner discovery and match scoring across the channel ecosystem — surfacing the highest-fit partners for each named account in seconds rather than days, with confidence scoring on every match.
  • Multi-persona architecture purpose-built for Global Admins, Partner Account Managers, channel partner sales reps, and Alliance/ISV partners — every persona working in the same 12-step co-sell flow, scoped to their role.
  • Privacy-first mutual opt-in and reveal engine — channel partners and vendors match accounts without exposing customer lists, and only reveal overlap when both sides agree.
  • Field-level visibility governance for every matched account — channel program admins control exactly what each persona sees, with role-scoped data access end-to-end.
  • Unified Co-Sell Hub for collaborative deal execution — every joint deal lives in a shared cockpit with deal-anchored tasks, categorized notes, integrated multi-channel messaging, and bidirectional CRM sync to Salesforce and HubSpot.
  • Tier-based price book automation for Platinum, Silver, Bronze, distributor (Storage, Value-Added DISTI), and referral routes — applied automatically at quote time, with multi-currency support.

Closing the Co-Sell Gap Across Channel and Partner Ecosystem Programs
The partner co-selling problem is well-documented across the channel ecosystem and the partner ecosystem management category. In ZINFI’s analysis of 200+ recent discovery calls with channel and partner ecosystem leaders, 78% of programs reported that “everything is manual right now” — co-sell tracking lives in spreadsheets, partner deal-status reconciliation runs through email threads, and joint pipeline visibility breaks down at every handoff between vendor and partner. For manufacturing companies operating dealer and distributor networks, the visibility gap is wider still: 51% of channel programs report no real-time visibility into what partners are doing in shared accounts.

ZINFI’s new AI co-sell platform closes both gaps. Built into the SELL zone of ZINFI’s 8-pillar Unified Partner Management framework — spanning Partner Strategy, Recruitment, Onboarding, Enablement, Marketing, Co-Selling, Incentives, and Profitable Growth Acceleration — the application orchestrates the full 12-step co-sell flow across every persona in the program. Whether a manufacturer is co-selling through a dealer network or a software vendor is co-selling through ISV, MSP, MSSP, and VAR partners, the co-sell motion now runs on a single platform with a single analytics layer, scoped by role. Unlike CRM-native tools, ZINFI is purpose-built for partner management — requiring no Salesforce customization.

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“Co-sell is the highest-leverage motion in modern channel management and the engine of every serious partner ecosystem management strategy — and yet, until today, it has been the most manually executed motion in the entire partner lifecycle. Spreadsheets, email threads, and CRM workarounds were never going to scale to the velocity that enterprise channel programs and partner ecosystems now require, especially when account privacy is non-negotiable. ZINFI’s AI-native Partner Co-Selling Management application is the first co-sell platform purpose-built for both manufacturing channel partners and modern technology partner ecosystems — with privacy-first match-and-reveal, multi-persona orchestration, and unified analytics scoped to every role. As enterprise companies move from program-led to AI-led co-sell over the next twenty-four months, the platforms that orchestrate match, reveal, and credit attribution at machine speed will define the winners.”

— Sugata Sanyal, Founder and CEO, ZINFI Technologies

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Affiliate and Partner Marketing Spend Grows to £1.8 Billion in 2025

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Affiliate and Partner Marketing Spend Grows to £1.8 Billion in 2025

Impact.com Affiliate Program – SaaS Affiliate – Affiliate Programs & Partner Programs

APMA’s State of the Affiliate Nation report shows spend and revenues increasing

The Affiliate & Partner Marketing Association (APMA) has released the third edition of its State of the Affiliate Nation report, which uses data from 11 affiliate networks, including impact.com, to track the size, scale and scope of the UK affiliate market in 2025. The report finds an industry in rude health, despite a tough economic backdrop.

Brands invested £1.8 billion in affiliate and partner marketing in 2025 – a 7.3% increase on the previous year. This spend generated revenues of £20.7bn, a 7.3% year-on-year increase, giving an ROI of 15X, rising to 19X in the travel and retail sectors.

There were 357m transactions tracking through an affiliate link in 2025, equating to 41,000 transactions per hour. Across Cyber Weekend, £1 in every £7 spent tracked through an affiliate link – compared to £1 in every £8 in 2024.

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By sector, retail was the largest user of affiliate and partner marketing, accounting for 47% of all spend, with spend on comparison shopping services rising by 18% year-on-year, and health & beauty revenues rising by the same amount.

Travel was another strong performer, with spend up 14% and revenues rising by 10%.
Cashback, card-linked offers and rewards were the biggest driver of sales, while voucher partners delivered a remarkable ROI of 24X.

In the telecoms sector, affiliates delivered 1 million new customers per month, with price comparison sites featuring strongly, accounting for 43% of spend – four times the sector average. Content was another popular strategy, taking 23% of telecoms affiliate spend.

Affiliate spend in the finance sector came in at £10m per month, a 9% year-on-year increase. Content publishers attracted the largest share of investment, accounting for 31% of spend.

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One of the key trends highlighted by the report is the market maturing beyond last-click CPA. Advertisers are increasingly using affiliate across the customer journey, not just at the point of conversion. Tenancy is expanding, while content and comparison-led models are also gaining ground. In fact, during 2025, close to one pound in five was spent on clicks, tenancies, hybrid deals and other non-CPA payments.

It’s notable also that affiliate spend, and the revenues generated from it, both increased, off the back of only a small increase in the number of transactions, suggesting an increase in average order value. While this may seem at odds with tightening household budgets, it is a reflection of the affiliate’s channel’s strong performance heritage.

“It’s very encouraging to see the affiliate & partner marketing industry deliver such a strong set of numbers for 2025,” said Ant Clements, UK Country Manager at impact.com. “They are in line with what we saw, and continue to see, at impact.com, as brands move spend from ineffective channels like advertising and put it into high-performing channels like affiliate, influencer and partner marketing. Things are tough out there, so it’s no surprise to see marketers putting their faith in channels that are known for their accountability, and their ability to deliver strong results.”

Kevin Edwards, Founder & Director of the APMA:

“The affiliate channel has once again proved how resilient it is. Many publisher models are based around empowering consumers to make better purchasing decisions while saving money and in the current economic climate that is particularly powerful. It’s especially encouraging to see comparison companies and tech start-ups drive the highest annual growth as the channel continues to diversify, offering brands the opportunity to partner with publisher models across the funnel.”

The report was compiled from data submitted by 11 major affiliate networks, including impact.com. It offers aggregated performance data covering spend, transactions and revenues, alongside breakdowns by sector and publisher type. Some modelling has been applied to estimate the total size of the market, but estimates are conservative, so if anything, the industry is probably worth more than the report finds.

APMA members can now download the full report here: https://theapma.co.uk/uk-affiliate-and-partner-marketing-spend-surges-to-1-8bn-as-brands-invest-in-tried-and-tested-performance-channels/. Non-members can view a summary of the report, though it is also free for advertisers to sign up as a member.

The Affiliate and Partnership Marketing Association (APMA) is the collective voice for the UK affiliate and partner marketing industry. Representing affiliates, networks, agencies and advertisers, it informs, educates and advocates for one of the most effective and diverse marketing channels. The APMA develops industry standards, promotes best practice and champions the role of affiliate and partner marketing across the UK.

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products – Performance (affiliate), Creator (influencer), and Advocate (customer referral) – unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands – including TUI, Uber, Shopify, Lenovo, L’Oreal and Skyscanner –  impact.com to power more than 350,000 partnerships that deliver measurable business results.

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Airbyte Agents Launched to Fix the Data Problem Breaking AI Agents

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Airbyte Agents Launched to Fix the Data Problem Breaking AI Agents

Gives AI agents a unified view, replicated data ready to query – fixes fragmented, slow, and unreliable data access that causes agents to fail in production

Airbyte, creator of the open data movement platform,  launched Airbyte Agents, a context layer that gives production-grade agents direct access to a unified, search-optimized index of an organization’s data that is replicated and ready to query before the agents run.

Most agent failures in production are not model failures, they are data failures. Agents built on runtime API orchestration chain together five or six calls across disconnected systems to answer a single question, burning tokens, adding latency, and frequently returning stale or contradictory results. Airbyte Agents solves this at the data layer rather than the orchestration layer.

At the core of Airbyte Agents is the Context Store, a replicated, search-optimized index that unifies a company’s data across systems before the agent ever runs. For example, customer records from Salesforce, tickets from Zendesk, issues from Jira, and conversations from Slack are brought together into a single queryable index with history and state preserved. The work of assembling context happens in advance, not at query time, so agents query the Context Store instead of chasing live APIs. That typically collapses five or six calls to one or two and dramatically reduces token consumption.

“Airbyte Agents has massively accelerated our roadmap. What we thought would take 6-plus months, we were testing in the first week of the beta program,” said Nate Chambers, chief product officer, ORCA Analytics, an AI-driven growth platform for e-commerce brands that consolidates marketing data, attribution, and LTV metrics into actionable dashboards. “They’re shipping everything we need for agentic workflows, and launching new data connections faster than we can build them into our product. If you’re building an AI product, you can stop rolling your own data pipelines and start shipping.”

The platform is available today through the Model Context Protocol (MCP), which works inside Claude, ChatGPT, Cursor, and any MCP-compatible client, and through a native SDK for teams building custom agents from the ground up.

“Most agent projects stall for the same reason: The model is fine, the data is a mess. Five disconnected systems, inconsistent entities, no shared state,” said Michel Tricot, co-founder and CEO of Airbyte. “Airbyte Agents gives every agent a unified view of the business, replicated and ready to query. That is what separates an agent that can do the work from one that just talks about it.”

“Without Airbyte, we’d be stitching together bespoke data connectors for every integration, which would slow us down dramatically,” said Franziska Ibscher, head of product at Drivepoint, developer of a finance platform intended for scaling e-commerce and omnichannel consumer brands. “With Airbyte, our AI features have fresh, reliable data to work with. Whether we’re running automated financial models or powering AI agents that answer questions about a brand’s business, none of it works without trustworthy data flowing in, and that’s what Airbyte gives us.”

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Airbyte Agents is available two ways,

  • Airbyte MCP: Connect data sources to Airbyte once, then build and run agents inside Claude, ChatGPT, Cursor, or any MCP-compatible client. No code required, and the same governed access to the Context Store that the SDK provides.
  • Agent SDK: For teams building custom agents and applications directly against the Context Store, with full programmatic control over retrieval, permissions, and state.

The platform launches with 50 connectors that populate the Context Store, covering the systems most central to enterprise operations including Salesforce, HubSpot, Zendesk, Jira, and Slack. Airbyte’s full catalog of 600-plus connectors will be available in the Context Store in the months ahead. A growing share of connectors also support write actions, letting agents update records, create tickets, and post messages in the systems of record. All connectors support OAuth-based authentication and row-level permissions, so agents only see what the invoking user is allowed to see.

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Automations, a visual interface for building and running agents directly inside Airbyte, is also available in research preview. Built on the same Context Store as Airbyte Agents, it lets teams compose agentic workflows across connected systems without code, and will graduate to general availability in a later release.

Airbyte is offering existing customers three months of Airbyte Agents access with usage limits to support early adoption. Consumption is metered in Agent Operations, a unit that covers reads, searches, actions, and reasoning calls against the Context Store.

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ServiceNow extends agentic AI governance from desktops to data centers with NVIDIA

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ServiceNow extends agentic AI governance from desktops to data centers with NVIDIA

ServiceNow introduces Project Arc: an enterprise autonomous desktop agent secured by NVIDIA OpenShell and governed by ServiceNow AI Control Tower

ServiceNow AI Control Tower is now included in the NVIDIA Enterprise AI Factory validated design, extending enterprise governance to large-scale model workloads

Open benchmarking standard for AI agents advances enterprise AI capabilities

ServiceNow, the AI control tower for business reinvention, announced a significant expansion of its partnership with NVIDIA to extend agentic AI governance from desktops to data centers. This includes the introduction of Project Arc, a new enterprise autonomous desktop agent, secured by the NVIDIA OpenShell runtime and governed by ServiceNow AI Control Tower, that will live on employee desktops and autonomously complete complex work. ServiceNow AI Control Tower is also now included in the NVIDIA Enterprise AI Factory validated design, extending enterprise governance to large-scale model workloads. The companies are advancing enterprise AI even further with an open benchmarking standard for evaluating AI agents.

ServiceNow and NVIDIA have long partnered to bring enterprise-grade AI to some of the world’s largest organizations through open models, AI software, and agent-ready skills. From the development of specialized agents to the Apriel Nemotron open model family, the partnership has deepened at each stage of the AI era. Today’s announcement connects how work gets done with how AI runs, bringing execution, governance, and intelligence to user endpoints and AI infrastructure.

“ServiceNow and NVIDIA set out to make AI real for the enterprise, and today we’re showing the proof of that work,” said Joe Davis, executive vice president of AI Engineering & Delivery at ServiceNow. “Whether it’s autonomous AI agents that can be trusted on the desktop, governance that extends to the data center, or open benchmarks that hold the entire industry accountable, this is enterprise AI that’s built to last.”

“Long-running, autonomous agents are rapidly changing the game for enterprise AI, and delivering them securely at scale requires governance that spans models, software and AI infrastructure,” said Kari Briski, vice president of Generative AI for Enterprise at NVIDIA. “Together, NVIDIA and ServiceNow are bringing enterprises agents that feature the security of the NVIDIA OpenShell runtime and the power of NVIDIA AI factory solutions with the ServiceNow AI Control Tower, providing the control layer necessary for trusted, autonomous operations across the business.”

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Project Arc: An enterprise autonomous desktop agent that is governed and secure from day one

ServiceNow is introducing Project Arc, which is an enterprise autonomous desktop agent that thinks, writes code, executes, and adapts when things don’t go as expected, completing complex multi-step work across enterprise tools and systems without requiring pre-built workflows.

Every action the agent takes runs inside NVIDIA OpenShell, a sandboxed runtime environment that adds policy-based management so that autonomous activity stays contained, auditable, and enterprise safe. ServiceNow AI Control Tower governs the actions the agent takes, setting policies, monitoring behavior, and logging files read, commands executed, and APIs called. The result is an autonomous desktop agent that enterprise security leaders can fully audit and approve with confidence.

Powered by ServiceNow Action Fabric, which allows any AI agent to access the ServiceNow system of action, and grounded in the ServiceNow Configuration Management Database (CMDB), the agent has deep intelligence about the enterprise, pulling from workflows, systems, and operational history so that actions are informed by how work gets done. Project Arc also meets employees where they work through a desktop app, enterprise collaboration tools, or email, and is designed to provide the same governed execution, whatever the interface.

Governing large-scale AI model workloads

The ServiceNow AI Control Tower integration with the NVIDIA Enterprise AI Factory validated design was previewed at NVIDIA GTC in March and is now complete, extending enterprise governance to the infrastructure layer where large-scale AI model workloads run. For organizations managing AI at scale, this integration provides a unified governance layer for data centers. AI factory deployments governed by AI Control Tower gain continuous value, risk, and security management across the full model lifecycle, from discovery and inventory to real-time observability, compliance monitoring, and remediation.

Capabilities available to AI factory customers through AI Control Tower include expanded regulatory content packs, enterprise access maps for major cloud providers, and a runtime cost and ROI management framework that tracks productivity gains and monthly value indicators.

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Measuring and advancing enterprise AI together

ServiceNow and NVIDIA are advancing NOWAI-Bench, an open benchmarking suite comprising two frameworks: EnterpriseOps-Gym, a multi-step agentic evaluation framework spanning IT service management, customer service, and HR workflows, and EVA-Bench, a voice agent evaluation framework designed for enterprise settings. Both benchmarks are generally available as open-source releases, and NVIDIA is integrating both into NeMo Gym to make them reusable and accessible for automated model evaluation across the industry.

The collaboration is already producing results. NVIDIA has evaluated NVIDIA Nemotron 3 Super on EnterpriseOps-Gym, with results demonstrating leading performance among open-weight models. On the voice side, EVA-Bench is serving as a primary benchmark for the development of NVIDIA Nemotron VoiceChat model, with ServiceNow and NVIDIA planning to publish joint evaluation results as the model reaches availability.

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ServiceNow turns enterprise AI chaos into control with the platform for governed, autonomous work

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ServiceNow turns enterprise AI chaos into control with the platform for governed, autonomous work

As AI agents reshape the enterprise, ServiceNow delivers the unified platform to sense, decide, act, and secure autonomous work at scale

ServiceNow Otto allows every person in an enterprise to turn intent into outcomes, across every system, however they work, wherever they are

Booking.com, Honeywell, the NHL, PayPal, Ulta, and more achieve AI results with the ServiceNow AI Platform

ServiceNow’s annual customer and partner event, Knowledge 2026, ServiceNow, the AI control tower for business reinvention, gave enterprises a way out of AI chaos, turning AI ambition into AI execution across every workflow, system, and department. The updates span AI Control Tower, Autonomous Workforce, data intelligence, and security capabilities, giving enterprises a single platform that delivers the entire AI value chain, from data to decision to execution and trust.

ServiceNow also introduced ServiceNow Otto, its new enterprise AI experience. ServiceNow Otto unifies conversational AI, autonomous workflows, and enterprise search into a single experience that completes work end to end, across every system, desktop, and workflow bringing the platform’s capabilities directly to employees and teams.

Enterprises have invested billions in AI capabilities, yet the vast majority cannot connect that investment to measurable business outcomes. The average enterprise runs hundreds of applications, each with its own AI layer bolted on. Agents are deployed without governance, and intelligence is disconnected from execution. Today’s announcements showcase an AI platform that senses across all enterprise data, devices, and identities in real time, decides the right action with full enterprise context, acts autonomously through AI specialists and workflows, and secures every step with governance that holds up under audit.

“Knowledge 2026 is where the world comes to witness the next frontier of innovation: the Autonomous Platform where AI thinks and workflows act,” said Bill McDermott, chairman and CEO of ServiceNow. “This is the moment ServiceNow moves beyond the platform of platforms to become the AI agent of agents — connecting any model, any cloud, and any data source. We’ve built the only platform that can sense across the enterprise, decide the right action, act across any workflow or application, and secure every step. We are the rules and rails of business.”

ServiceNow hosted its annual Financial Analyst Day on May 4, where McDermott and President & CFO Gina Mastantuono, joined by product and go-to-market leaders, outlined how the company’s AI-native platform and Autonomous Workforce are driving its long-term financial trajectory. By 2030, ServiceNow is targeting $30 billion-plus in subscription revenues, with ServiceNow AI expected to represent over 30% of the company’s annual contract value (ACV). The product announcements below reflect the platform capabilities at the center of that long-range vision. A full replay is available at https://investors.servicenow.com.

Sense: visibility and context across every data source, device, and identity

ServiceNow is addressing problems created by dozens of disconnected systems, catalogued inconsistently and designed for humans, not agents, by connecting data discovery, governance, and autonomous action without ever leaving the platform. Real-time visibility across every AI system, agent, identity, and connected asset from leaders such as Amazon Web Services (AWS), Anthropic, Google Cloud, Microsoft Azure, and other model providers ensures customers have a foundation to deploy enterprise-ready AI agents in a controlled way.

ServiceNow’s Data Catalog gives organizations end-to-end visibility across the entire data estate through automated discovery, lineage tracking, and a shared business glossary. The result is a single, governed review of the entire data estate, wherever that data lives. Then, the data estate is continuously monitored and automatically flags quality violations, enforcing security and privacy policies in real time, so the data feeding AI workflows always meets defined standards without manual intervention.

Decide: enterprise decisions, grounded in context

Every AI decision is only as good as the context behind it. Enterprise AI fails when the model doesn’t know enough about the business it’s supposed to help run.

ServiceNow’s new data intelligence capabilities, including Context Engine, give the ServiceNow AI Platform a continuous, real-time view of the enterprise: who owns what, what’s connected to what, which policies govern which actions, and what the actual operational state of the business is at any given moment.

These capabilities compound intelligence with every human and agent decision made. Learning from 100 billion workflows and more than 7 trillion transactions that run through ServiceNow annually, the platform grows smarter about how a business works with every AI action. ServiceNow is uniquely positioned to ground AI in an organization’s specific operating reality, not a generic model of how enterprises work.

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Act: AI specialists that execute real work

The era of artificial intelligence is giving way to the era of execution and autonomous work. Knowing what’s true and deciding the right action still leaves one step unfinished: completing the work.

The ServiceNow Autonomous Workforce takes AI from agents handling isolated tasks to executing jobs end to end, from intake through resolution, with defined roles, enterprise authority, and governance built in. ServiceNow’s newest AI specialists, announced today, work across CRM, employee experience, IT operations, and security and risk.

For example, at ServiceNow, the Autonomous Workforce already handles over 90% of employee IT requests. The Level 1 Service Desk AI Specialist resolves assigned IT cases 99% faster than when those cases are handled by human agents. Each month, ServiceNow Autonomous CRM resolves over 100 million customer cases, orchestrates over 16 million orders, and configures more than seven million quotes, providing faster, more accurate service across the customer lifecycle, from sales qualification and quoting to order fulfillment, invoice disputes, service, and renewals.

ServiceNow today also opened the ServiceNow AI Platform and its full system of action to any AI agent, whether it’s built on ServiceNow, or with Claude, Copilot, or a customer’s own homegrown agent. With ServiceNow Action Fabric, customers can now drive secure, governed enterprise actions headlessly through ServiceNow’s generally available Model Context Protocol (MCP) Server.

Secure: discover every cyber asset, govern every identity, and close every exposure

ServiceNow’s expanded AI Control Tower offers an end-to-end solution to discover, observe, govern, and secure enterprise AI: how it’s working, where it’s adding value, and where it’s hallucinating. AI Control Tower now includes discovery across 30+ enterprise integrations, real-time observability into agent behavior, automated risk and compliance controls, identity governance extended to hyperscaler environments and AI models, and financial dashboards that put customers back in control of AI spend.

”A year ago, AI Control Tower gave enterprises visibility into their AI. Today it governs the entire AI lifecycle across every agent, model, dataset, asset, and identity, across every cloud and enterprise system,” said Amit Zavery, president, chief operating officer, and chief product officer at ServiceNow. ”This is the infrastructure enterprises need to scale AI with confidence, and only ServiceNow has the workflows, context, and enterprise depth to deliver it.”

Beyond control, enterprises need a platform built to see, govern, remediate, and respond across the entire attack surface, with visibility into every identity and every asset, as well as the permissions and policies for each.

ServiceNow delivers an end-to-end security stack that combines asset visibility, identity governance, risk management, and remediation to go from reactive security to autonomous, agentic cyber defense. Armis closes the gap between asset visibility and cyber risk, offering a comprehensive AI-powered solution that sees, protects, and manages cyber risk across every connected asset in real time. Veza brings AI-native identity intelligence into the platform and maps permissions across human, machine, and AI agent identities simultaneously, giving enterprises continuous visibility into who and what has access to every digital, connected resource.

”ServiceNow gives a complete security picture that no enterprise software vendor has assembled before: identity and fine-grained permission visibility for every human and agent in the system and a complete view of all enterprise connected assets, from code to physical assets, all operating in the ServiceNow AI Control Tower,” said John Aisien, SVP and GM security and risk, ServiceNow. ”ServiceNow provides the security, risk controls and governance that turns autonomous AI from a risk into a competitive advantage.”

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The complete AI value chain, delivered

Every enterprise has access to intelligence. What every business needs is a trusted enterprise platform that can put it to work safely, at scale, inside the workflows where the business runs. ServiceNow delivers the complete system: data to decision, decision to action, action to trust.

Booking.com, Honeywell, the NHL, PayPal, and Ulta: AI results with ServiceNow

Honeywell

“At Honeywell, we’re connecting the world by addressing critical challenges across the industrial, process, and building sectors and that mission critical work demands AI that delivers value fast,” said Sheila Jordan, SVP and chief digital technology officer at Honeywell. “With ServiceNow and Moveworks, our AI assistant ‘Red’ eliminated the majority of service desk conversations, saving time for employees and our IT organization. By operating an AI‑enabled workforce at enterprise scale, we’re unlocking new levels of efficiency and accelerating business transformation.”

National Hockey League

“At the NHL, working smarter has always been the goal so we can stay focused on delivering extraordinary fan experiences,” said John Frantzeskakis, SVP of technology, operations and digital transformation at the National Hockey League. “The ServiceNow AI platform gives us the AI control tower we need to scale AI with confidence, transforming fragmented operations across 32 clubs and 1,300-plus games a season into connected, intelligent workflows. We’re already seeing real productivity gains, and we’ve only scratched the surface of what AI can do for us.”

PayPal

“This wasn’t simply a database migration; it was a foundational step in enabling confident, performance-oriented scale and winning back the trust and investment of our business partners. As a company that moves more than a trillion of dollars in payment volume annually, the ServiceNow AI Platform must be as fast and resilient as the business itself,” said Matthew Kritzer, principal platform architect at PayPal. “Today, we’re running Case Management, Cloud Discovery, SecOps, and Now Assist at a scale we once only imagined. Database tasks are twice as fast, and our longest-running operations are five times faster. ServiceNow has become a key part of our enterprise AI and Automation strategy.”

Additional resources

ServiceNow is putting AI to work for customers, partners, and the broader technology ecosystem:

  • ServiceNow expands AI Control Tower capabilities, giving enterprises control over every AI system, agent, and workflow, regardless of where it runs.
  • ServiceNow unveils new AI specialists for CRM, employee service teams, IT operations, and security and risk to extend governed, AI-driven execution at enterprise scale.
  • ServiceNow Action Fabric opens ServiceNow’s full system of action to any AI agent, headlessly
  • With Autonomous Security & Risk, ServiceNow delivers the most complete security, risk, and compliance platform in enterprise AI.
  • ServiceNow Otto creates the unified AI experience for the enterprise.
  • A new CRM Case Management AI Specialist triages, solves, and escalates cases across the full case lifecycle.
  • New autonomous HR capabilities give HRBPs, managers, and employees AI-powered workforce intelligence and automation to reclaim time for strategic, human-centered work.
  • ServiceNow University drives growth with real-time coaching and simulation, grows to almost 2 million global learners.
  • ServiceNow and FedEx automate and orchestrate workflows to improve supply chain visibility, exception management, and customer experiences.
  • ServiceNow and NVIDIA make agentic AI governable across the enterprise stack, including with Arc, a new enterprise AI desktop agent.
  • ServiceNow extends AI Control Tower’s governance across the Microsoft Agent 365 ecosystem, bringing order to AI agent sprawl.
  • ServiceNow and Lenovo combine AI-native workflow automation with device intelligence to automate workflows end-to-end across the device lifecycle for 30% lower IT support costs.

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StackAdapt Announces AI-Powered Marketing Capabilities Through Ads in ChatGPT Pilot

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Business Wire
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StackAdapt Announces AI-Powered Marketing Capabilities Through Ads in ChatGPT Pilot

StackAdapt, the leading AI advertising and orchestration platform, shared that it is offering advertisers access to ads in ChatGPT. This capability helps advertisers deliver messages that are useful and timely as customers are exploring options, comparing choices, and making decisions.

As a technology partner supporting advertising in ChatGPT, StackAdapt is enabling advertisers to test and learn in an early-stage environment and provide feedback to help shape this new ad channel as it continues to evolve. Unlike traditional awareness or lower-funnel performance channels, ads in ChatGPT are clearly labeled and separated from responses, and are shown based on the context of a user’s conversation.

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This creates a powerful opportunity for advertisers to:

  • Reach people during active exploration and comparison
  • Deliver messaging aligned with real-time conversational context
  • Influence decision-making early in the discovery process

By engaging people during AI-powered research flows, advertisers can extend their programmatic strategies into high-intent moments. As ChatGPT becomes a starting point for product discovery, advertisers are beginning to explore ads as a complementary discovery channel. By participating in early testing, advertisers can better understand how to show up in conversational environments and apply those learnings to their broader strategies.

While OpenAI supports multiple buying pathways, StackAdapt delivers a bespoke approach to activating ads in ChatGPT, including:

  • Vertical Specialization: Deep industry knowledge across B2B, retail, CPG, e-commerce, travel, education, and more
  • Cross-Channel Orchestration: Activation across CTV, display, native, and performance channels within a unified platform
  • Managed Service and Scalable Execution: Strategic guidance, creative optimization, and operational support to drive performance
  • Brand Safety and Quality Controls: In-house review processes and inventory standards help ensure messaging is appropriate, relevant, and aligned with the context in which it will appear

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“Conversational AI is rapidly becoming a new touchpoint in the customer journey,” said Yang Han, Co-Founder and CTO at StackAdapt. “Our focus is helping advertisers participate in those moments in ways that are relevant and thoughtfully integrated into a broader AI-powered marketing strategy.”

Conversational AI represents a shift in how consumers gather information and evaluate options. As AI-driven research complements traditional search and browsing behavior, advertisers must evolve their strategies accordingly. By combining ads within ChatGPT with omnichannel execution, advanced contextual strategy, and AI-driven optimization, StackAdapt enables marketers to engage audiences at pivotal decision-shaping moments.

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CredSpark Launches Banter: A New Brand Focused on Transforming B2B Marketing and Sales Through Interactive Experiences

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MTS Staff Writer
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MethodHub launches CoAPP, an AI enabled Content Organization and Accelerated Publishing Platform

New platform helps enterprise teams turn audience engagement into actionable insight and pipeline growth.

CredSpark (credspark.com) today announced the launch of Banter, a new brand purpose-built to help B2B enterprise marketing and sales teams accelerate their pipelines by transforming passive content into interactive, data-driven experiences.

Banter introduces a fundamentally different approach to demand generation and sales enablement—one that replaces static content and low-signal lead capture with dynamic interactions that engage buyers, capture meaningful input, and deliver actionable intelligence to revenue teams.
“B2B organizations are generating more content and more leads than ever before, but much of that activity lacks the insight needed to drive real business outcomes,” said Lev Kaye, Founder and CEO at CredSpark. “With Banter, we’re helping teams move beyond surface-level engagement to truly understand their buyers—what they need, what they prioritize, and when they’re ready to act.”

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At its core Banter, combines interactive assessments, benchmarking and optimization from 400 MM+ interaction data points, and adaptive revenue-generating insight engines leveraging AI-enhanced research and analytics. These experiences are designed not only to increase engagement, but to systematically capture structured data that improves lead qualification, accelerates sales conversations, and enables more personalized buyer journeys.

Key capabilities of Banter include:

* Interactive content experiences designed to drive engagement and capture real buyer input
* Real-time lead scoring, segmentation, and ranking based on behavioral and response data
* Actionable insights that help marketing and sales teams align around buyer needs and intent
* Seamless integration into existing demand generation campaigns, sales processes, and technology stacks

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Banter is designed to support a wide range of B2B enterprise use cases, including demand generation, lead qualification, sales enablement, account-based marketing, pipeline acceleration, and buyer education.

To help organizations quickly validate impact, Banter is launching with a 90-day pilot program, enabling teams to deploy a custom-built interactive experience focused on a specific pipeline challenge, with full strategy support, optimization, and performance insights included.

“Banter is about creating intelligent conversations at scale,” added Gabi Murphy, Business Development Manager at Banter. “By capturing the right data at the right moment, we give revenue teams the clarity they need to act with confidence—and ultimately close deals faster.”

The launch of Banter reflects CredSpark’s continued evolution and commitment to helping organizations unlock more value from their audience engagement strategies through innovation, data, and design.

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VisRank Launches Free SEO and AI Search Visibility Audit Tool

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MTS Staff Writer
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VisRank Launches Free SEO and AI Search Visibility Audit Tool

VisRank helps website owners check SEO, AI readiness, security and local presence in one 30-second website scan.

VisRank, a website visibility audit platform, has launched a free online tool that helps business owners, marketers, agencies and developers understand why their websites may not be visible enough in Google search and AI-driven answer engines.

VisRank gives website owners a fast way to see where visibility is being lost and what actions can improve their chances of being found.”

— Andrei Mironiuk, CEO of VisRank

As search behaviour changes, website owners now need to think beyond traditional rankings. A page may have basic SEO in place, but still fail to appear in AI answers, local discovery results, or trusted search environments. VisRank was created to give users a clearer way to diagnose these issues without needing expensive software or technical SEO knowledge.

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The platform allows users to enter a website URL and receive a Visibility Score based on multiple categories, including SEO, AI readiness, security and local presence. According to VisRank’s published methodology, every scan checks 49 signals across four categories and combines them into a single 0–100 Visibility Score.

VisRank focuses on practical website visibility problems such as weak title tags, missing meta descriptions, poor heading structure, missing structured data, lack of clear FAQ content, security header gaps, and incomplete local business signals. The goal is not only to show a score, but to help users understand what should be fixed first.

“Small businesses are often told they need SEO, but they are not always shown what is actually wrong with their website,” said Andrei Mironiuk, CEO of VisRank. “VisRank gives website owners a fast way to see where visibility is being lost and what actions can improve their chances of being found.”

One of the platform’s key focuses is AEO, or Answer Engine Optimization. While SEO helps pages rank in traditional search results, AEO is focused on making content easier for AI answer engines to understand, summarize and cite. VisRank’s AEO checker reviews signals such as structured data, FAQ patterns, entity clarity, AI crawler access and answer-focused content.

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VisRank is designed for small business owners, website owners, agencies and developers who want a quick website diagnosis before investing in deeper marketing, redesign or SEO work. The scan is available online and does not require installation. VisRank states that users can run a free scan in about 30 seconds and receive a prioritized list of issues affecting website visibility.

The platform also offers additional features such as score history, competitor tracking, drop alerts and PDF reports for users who want to monitor changes over time. VisRank’s feature page explains that the overall score is calculated as a weighted average across SEO, AEO, security and local categories.

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EnforceAuth Open-Sources Zift — A Code Scanner Built to Close the Authorization Gap in Enterprise and AI Systems

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MTS Staff Writer
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Headflood Integrates Agentic AI Engineering Into Small Business Workflows, Expanding Search and AI Visibility Services

EnforceAuth

First open-source tool to automatically discover authorization decisions across multi-language codebases and emit Rego policy stubs ready for Open Policy Agent.

EnforceAuth, the AI Security Fabric platform, today announced the open-source release of Zift, a code scanner that automatically discovers authorization decisions buried inside application source code and emits Open Policy Agent (OPA)–ready Rego policy stubs. Zift is licensed under Apache 2.0 with no feature gating, no telemetry by default, and no contractual obligation. The repository is live at github.com/EnforceAuth/zift.

Zift is designed to address what EnforceAuth refers to as the Authorization Gap — the operational surface between authentication, which most enterprises have externalized, and runtime authorization enforcement, which in most enterprises remains embedded inside application code across role-based checks, attribute predicates, framework middleware, business-rule guards, ownership filters in object-relational mapping queries, feature gates, and bespoke per-application policy languages.

In its first internal benchmark scan against a small, well-maintained financial application, Zift reported that only twenty percent of the application’s enforcement points already consulted a policy engine. The other eighty percent of authorization decisions were embedded in source code distributed across files, frameworks, and conventions invisible to centralized governance, audit, or runtime enforcement. EnforceAuth selected the codebase for the benchmark because it expected the externalization percentage to be high.

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“Authentication has been solved at the control-plane level. Authorization has not,” said Mark Rogge, founder and CEO of EnforceAuth. “If a regulator asks a chief information security officer who can authorize a wire transfer above a certain threshold today, that answer should take ten minutes. In most enterprises we have seen, it takes a multi-week code archaeology project across hundreds of services and produces a probabilistic estimate, not a definitive list. Zift is the first tool that produces a single number — the externalization percentage — and converts the question into a measurable trajectory.”

The launch responds to three converging forces in enterprise security architecture: the rise of agentic AI systems acting at machine speed, regulatory frameworks including SOX, PCI-DSS, GDPR, HIPAA, the EU AI Act, and the SEC cybersecurity disclosure rules that increasingly require chain-of-custody evidence for authorization decisions, and the technical consensus forming around Open Policy Agent and the AuthZEN standard for policy enforcement and decision points.

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EnforceAuth notes that the non-human-to-human identity ratio in modern enterprises now sits at approximately 82 to 1 — a structural shift that, in EnforceAuth’s view, makes static role-based authorization checks insufficient for environments where ephemeral, attribute-rich, machine-speed principals act on behalf of human and organizational identities.

“We could have held this scanner as a proprietary asset,” Rogge added. “We chose Apache 2.0 — not source-available, not Business Source License, not open core with a sharp pricing edge — because the discovery step is too important to gate behind a procurement cycle. Every team needs a free, no-strings way to start. The line between the open-source on-ramp and our commercial runtime is bright, and we wrote it down.”

Zift is installable in two commands and produces a baseline externalization percentage in one. The repository ships with the complete scanner, the standard parsers, the core rule corpus, the Rego emission engine, and an optional deep-mode integration for local large language models.

Cedar policy emission is on the published roadmap.

EnforceAuth is publishing the scanning methodology with the v0.1 release and inviting the security community to contribute anonymized scan results so the industry can reason from a real distribution of externalization percentages rather than from intuition.

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