ITVibes Shows How AI Turns Websites Into Lead Engines

February 25, 2026

New guidance explains how AI-backed optimization helps local service businesses generate measurable leads, not just traffic.

Many small and mid-sized businesses invest in professional websites but fail to see meaningful lead generation from them. ITVibes, a Houston-based digital marketing agency, is educating local service companies on how artificial intelligence can transform underperforming websites from static brochures into active lead engines that drive measurable growth.

AI allows us to see how real users interact with a site, where they get stuck, and why they leave without converting. Once you understand that behavior, you can turn a website into qualified leads.”

— Siva Yenneti

For years, businesses have treated websites as digital placeholders rather than revenue tools. While modern designs look polished, they often lack the structure, content strategy, and performance optimization needed to convert visitors into customers. ITVibes is addressing this gap by showing how AI-backed optimization uncovers hidden issues that limit lead generation and provides data-driven solutions to fix them.

“Most local service websites look good but don’t work hard enough,” said Siva Yenneti, CEO of ITVibes. “AI allows us to see how real users interact with a site, where they get stuck, and why they leave without converting. Once you understand that behavior, you can turn a website into a reliable source of qualified leads.”

One of the most common mistakes ITVibes sees is relying on generic content that fails to match real search intent. Many businesses focus on ranking for broad keywords without addressing what potential customers are actually looking for when they visit a site. AI-powered analysis helps identify content gaps, missed keyword opportunities, and confusing page structures that prevent users from taking action.

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Common Website Issues That Limit Lead Generation
Even well-designed websites can struggle to convert visitors into customers. Many issues are subtle, hidden in site speed, layout, or content, but they can have a big impact on leads, including:
– Slow page speeds that frustrate visitors
– Unclear or missing calls to action
– Layouts that don’t guide users toward forms or phone calls
– Hidden patterns in user behavior that manual reviews miss
– Actionable roadmap for improving engagement and conversions

ITVibes has seen firsthand how layering AI optimization onto existing websites and marketing campaigns delivers measurable results. In one recent Houston-based service business case, AI-backed improvements led to higher-quality traffic, longer time on site, and a noticeable increase in inbound leads within weeks of implementation. Rather than rebuilding from scratch, the optimization focused on refining content, improving navigation flow, and aligning pages with user intent.

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“What makes AI powerful is speed and clarity,” Yenneti added. “Instead of guessing what might work, businesses can make decisions based on real data. That’s when websites stop being passive and start contributing directly to revenue.”

The agency emphasizes that AI does not replace human strategy. Every recommendation generated through AI tools is reviewed and refined by the ITVibes team to ensure it aligns with the client’s goals, industry, and audience. This balance between automation and expertise allows businesses to move faster without losing strategic direction.

ITVibes works primarily with service-based businesses, including home services, professional firms, and B2B companies across Houston and beyond. By combining AI optimization with proven SEO and digital marketing strategies, the agency’s website design services help clients improve lead quality, reduce wasted ad spend, and build sites built for long-term growth.

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EnforceAuth Free Version Gives Enterprises AI-Native Auth for AI Agents, Machine Identities & Non-Human Workloads

MTS Staff Writer

February 25, 2026

EnforceAuth Free Version Gives Enterprises AI-Native Auth for AI Agents, Machine Identities & Non-Human Workloads

EnforceAuth Free Version — with no vendor lock-in

EnforceAuth announced the waitlist of the free version of the EnforceAuth Platform, making its AI Security Fabric accessible to enterprise organizations worldwide. The Free tier is designed to help organizations begin governing AI agents, automated workflows, and machine identities in production environments where authorization controls have not kept pace with deployment.

The announcement comes as enterprises face a widening gap between AI deployment and AI governance. AI agents are increasingly operating as production infrastructure at large organizations, autonomously accessing customer records, executing financial transactions, invoking downstream models, and modifying critical systems. According to recent industry research, 88% of organizations reported confirmed or suspected AI agent security incidents in the past year, and more than half of all deployed agents operate without any security oversight or logging.

Recent consolidation in the authorization and identity security market has reduced the number of independent, vendor-neutral options available to enterprises. The identity security market is projected to nearly double from $29 billion to $56 billion by 2029, according to IDC, underscoring the growing demand for solutions that operate across multi-vendor security environments.

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“Authorization is the defining security challenge of the AI era,” said Mark Rogge, Founder and CEO of EnforceAuth. “Enterprises are deploying AI agents at scale, but the frameworks to govern what those agents actually do have not kept pace. We built EnforceAuth to answer a fundamental question: Is this specific action, by this specific agent, under these specific conditions, authorized right now? Every enterprise should be able to govern what their AI agents do with the same rigor they govern what their people do. We’re removing barriers to adoption — starting with price.”

What the Free Version of the EnforceAuth Platform Delivers
The EnforceAuth AI Security Fabric introduces decision-centric authorization, a shift from governing access to governing actions. Every operation initiated by a human user, nonhuman user, AI agent, automated workflow, or machine identity is evaluated as a discrete authorization decision — with full context including actor identity, delegation chain, resource sensitivity, operational conditions, and business policy — before execution is permitted.

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The platform is designed for agentic AI environments. It enforces continuous identity verification and authorization across both human and non-human identities at every decision point, not just at login. It natively supports delegated authority, time-bounded permissions, scoped agent capabilities, and contextual decision evaluation for environments where software reasons, delegates, and acts across system boundaries without human intervention. Every authorization decision is recorded with full audit fidelity, providing the evidence trail that regulators under the EU AI Act, DORA, and emerging AI governance frameworks require.

EnforceAuth was architected for a world where the majority of consequential decisions are made by software, not people. The platform operates as a vendor-neutral control plane that integrates across existing security stacks rather than requiring consolidation onto a single platform.

The Growing Authorization Gap in Enterprise AI
According to recent industry data, only 14.4% of organizations report that all AI agents go live with full security and IT approval. Fewer than one in four teams treat AI agents as independent, identity-bearing entities. Nearly half still rely on shared API keys for agent-to-agent authentication.

Regulatory requirements are also increasing. The EU AI Act’s enforcement provisions are active. DORA mandates continuous oversight of digital operations across financial services. Boards and audit committees are seeking documentation of AI governance that many organizations are not yet equipped to produce. Fortune 500 companies in financial services, healthcare, insurance, and critical infrastructure face the convergence of autonomous AI deployment, regulatory scrutiny, and evolving authorization requirements.

Enterprise Authorization Expertise
EnforceAuth was founded by Mark Rogge, the former Chief Revenue Officer at Styra, the company behind Open Policy Agent (OPA) that established the enterprise standard for policy-as-code. Rogge previously held senior leadership positions at GitLab and Weights & Biases, where he scaled enterprise security and AI infrastructure platforms through critical growth phases. The team brings direct expertise in authorization frameworks, Zero Trust architecture, and deploying enterprise security at Fortune 500 scale.

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TrackIt Named Launch Partner for AWS Elemental Inference Video Analysis Service

MTS Staff Writer

February 25, 2026

TrackIt Named Launch Partner for AWS Elemental Inference Video Analysis Service

TrackIt, an Amazon Web Services (AWS) Advanced Tier Services Partner specializing in Media, Entertainment, Gaming, and Sports, has been selected as a launch partner for AWS Elemental Inference, a new video analysis service within the AWS Elemental portfolio. TrackIt has integrated Inference into TrackFlix Live for a live demonstration at the 2026 NAB Show.

Video analysis only becomes valuable when it fits naturally into production workflows”

— Brad Winett, President of TrackIt

AWS Elemental Inference is designed to analyze live video streams within AWS Elemental MediaLive and output video-specific features that can be directly integrated into media workflows. Initial capabilities include independently configurable smart cropping outputs for vertical and social video formats, as well as clipping outputs that generate semantic tags with associated quality indicators and timestamps. The service also produces enriched metadata, with additional features planned for future releases.

As a launch partner, TrackIt is collaborating closely with AWS teams to validate Elemental Inference in real-world scenarios and demonstrate how advanced video analysis can be operationalized inside production tools rather than remaining isolated as raw data. The integration with TrackFlix Live aims to highlight how video intelligence can support faster decision-making, content discovery, and workflow automation for broadcasters and digital media platforms.

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“Video analysis only becomes valuable when it fits naturally into production workflows,” said Brad Winett, President of TrackIt. “Integrating AWS Elemental Inference directly into TrackFlix Live allows meaningful insights to surface where operators already work, without adding complexity or friction.”

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The upcoming NAB demonstration will highlight how AWS Elemental Inference features can be activated and managed through a unified interface, illustrating an end-to-end workflow from live stream analysis to content creation and distribution. This collaboration reinforces TrackIt’s role as an early adopter for emerging AWS media services, with a continued focus on building scalable, production-ready solutions for Media and Entertainment customers.

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RocketReach Expands Signal Driven AI Prospecting Through Strategic Partnership with Autobound

PRNewswire

February 25, 2026

RocketReach Expands Signal Driven AI Prospecting Through Strategic Partnership with Autobound

RocketReach, a leading sales and recruiting intelligence platform, announced a strategic partnership with Autobound to expand its signal-driven AI capabilities and deliver more effective, time saving prospecting for revenue teams.

Through the partnership, RocketReach will incorporate Autobound’s Signal Engine into its data ecosystem, giving customers access to a growing set of 400+ company and contact level signals. These signals include job changes, SEC filings, product launches, company news, social posts, patents, and additional sources that will continue to expand throughout the year.

The combination of RocketReach’s highly accurate contact data, insights derived from millions of active users, and Autobound’s comprehensive signals creates a differentiated foundation for AI driven prospecting. This event-driven approach enables teams to quickly identify meaningful moments to engage, prioritize the right opportunities, and drive more relevant outreach by replacing generic research and guesswork with real time context.

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As RocketReach advances its AI strategy, the company is focused on automating the most time-consuming parts of prospecting so teams can act on relevant events with speed and confidence. RocketReach’s AI philosophy centers on grounding automation in trusted data and real-world context so that AI increases signal and precision and delivers measurable ROI rather than accelerating noise.

“This partnership strengthens the foundation of our AI strategy,” said Scott Kim, CEO of RocketReach. “By combining high quality contact data, insights from millions of users, and hundreds of signals, we are giving customers greater visibility into what matters most across their target prospects so they can focus their time on outreach that actually resonates.”

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In the coming months, RocketReach customers will be able to activate these insights directly within the platform or integrate them into existing tools and workflows through APIs and integrations, supporting how each team prefers to work.

“RocketReach has built a strong foundation around trusted data and ease of use,” said Daniel Wiener, CEO and co-founder of Autobound. “Together, we are enabling revenue teams to turn relevant signals into timely, authentic outreach powered by AI.”

This partnership reflects RocketReach’s continued investment in AI-powered prospecting solutions that help teams reduce wasted efforts, increase relevance, and drive real business outcomes.

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The Attribution Crisis: What B2C Marketers Should do about California’s DROP Tool

Matt Butler

February 25, 2026

The Attribution Crisis: What B2C Marketers Should do about California's DROP Tool

On January 1, 2026, California launched the Delete Request Opt-Out Platform, better known as DROP. The tool allows the state’s 40 million residents to delete their personal information from more than 500 registered data brokers with a single click.

By August 1, when data brokers must begin processing these deletion requests every 45 days, the third-party data infrastructure that B2C marketers have relied upon for decades will become even more unreliable.

This isn’t a theoretical policy shift. It’s an operational one — and it demands immediate action.

Privacy rights go from theoretical to operational

Privacy rights have existed on paper for years. Exercising them was another matter.

A Consumer Reports study found that commercial data removal services achieved only 35% success rates within four months, with deleted data often reappearing weeks later. Consumers who wanted their information removed faced dozens of individual opt-out processes, each with different requirements.

DROP eliminates this friction entirely. Californians verify their identity through the state’s Identity Gateway, create a profile with their identifiers, and submit one request that reaches every registered data broker simultaneously. As Tom Kemp, executive director of CalPrivacy, stated in November 2025: “Californians will soon be able to delete their data from hundreds of data brokers with one simple action.”

The enforcement teeth are real. Data brokers must check DROP at least every 45 days, process matching records within 90 days, and maintain suppression lists to prevent re-collection. Penalties reach $200 per day per consumer for failure to comply. CalPrivacy has already demonstrated aggressive enforcement, fining Rickenbacher Data $45,000 and S&P Global $62,600 in January 2026 alone for registration violations.

Third-party data reliability collapses at scale

The math is unforgiving. DataGrail’s 2024 Privacy Trends Report documented a 246% increase in data subject requests from 2021 to 2023, with deletion requests accounting for more than 40% of all privacy requests. DROP will accelerate this trend dramatically.

Research published in Marketing Science found that ads served to opted-out users fetch 52% less revenue on exchanges than comparable ads for users who allow behavioral targeting. When deletion becomes frictionless, the degradation spreads across the entire data ecosystem.

“The Delete Act nullifies the assumption that data continues to circulate once it enters the market,” explains ClickPoint Software in its analysis. “Over time, that reduces upstream availability and makes third-party data less predictable.”

For B2C marketers, this means audience segments built on third-party data will shrink unpredictably. Lookalike models degrade. Traditional ad attribution experiences significant gaps. The infrastructure many teams depend on won’t fail catastrophically, it’s worse. Reporting will simply become progressively less accurate, making optimization decisions increasingly unreliable.

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Ad platforms cannot grade their own homework

The attribution challenge compounds the data reliability problem. Google and Meta cannot objectively measure their own performance — a structural conflict marketers have long accepted but can no longer afford to ignore.

“Measurement, interpretation, and insights around ad performance are monopolized by the platform — effectively a ‘grading their own homework’ setup,” notes Zefr’s industry analysis.

The double-counting problem illustrates the dysfunction. A user sees a Meta display ad, later searches on Google, and then “converts.” Both platforms report the “conversion” as attributed to their channel. Both take credit. In this case, marketers have no way to determine true incrementality.

Industry statistics paint a grim picture: 73% of marketers report significant attribution challenges since iOS 14.5. Only 57% of companies use any form of attribution model. At Cannes 2024, experts estimated only 6% of advertising drives measurable value — but current tools cannot identify which 6%.

The Q1 2026 checklist for marketing leaders

Marketing leaders who move in Q1 2026 will establish competitive advantages before the August compliance deadline forces their competitors to react. Here’s where to start:

Audit your data dependencies.

Map every campaign, audience segment, and attribution touchpoint that relies on third-party data. Identify which will degrade first.

Implement incrementality testing.

Move beyond platform-reported metrics. Establish 1P-based holdout groups, and geo-lift tests to measure true impact independent of walled garden attribution.

Accelerate first-party data collection.

Create direct value exchanges with customers — exclusive content, tools, or personalization — in exchange for voluntarily shared information.

Invest in media mix modeling.

Deploy cross-channel measurement that doesn’t depend on user-level tracking.

The competitive advantage of moving early

DROP creates a temporary asymmetry in the market. For the next six to 12 months, some marketers will operate with superior measurement infrastructure while their competitors don’t yet recognize the problem.

Consider what this means practically: While competitors waste budget optimizing campaigns based on platform-reported conversions that double-count the same sale, early movers will know true incrementality. While others chase vanity metrics, you’ll measure actual business impact. While they debate whether their ads work, you’ll have proof.

This advantage isn’t permanent — eventually, the market catches up. But the marketers who establish robust first-party measurement infrastructure in Q1 2026 will gain 12 to 18 months of better decision-making than competitors. In B2C marketing, that’s the difference between growth and stagnation.

First-party marketing software in a post-DROP world

The alternative path requires rebuilding measurement infrastructure around data you own. First-party marketing software aggregates customer data from owned properties — website behavior, purchase history, email engagement, app interactions — into unified profiles that don’t depend on third-party brokers.

McKinsey’s research quantifies the stakes: “Marketers and companies that do not figure out a strategy to maintain — and even grow — their access to first-party data may have to spend 10 to 20 percent more on marketing and sales to generate the same returns.”

Case studies demonstrate what becomes possible. Kia Motors achieved a 4x conversion rate improvement after reinventing their first-party data strategy. Shinola discovered through incrementality testing that Facebook was underreporting prospecting campaign performance by 413%. These results emerge when marketers escape walled garden dependency and measure what actually drives growth.

The August 2026 deadline isn’t just a compliance date for data brokers. It marks when the competitive gap widens between marketers who control their measurement infrastructure and those who depend on platforms with deteriorating data. Marketers who rebuild now won’t just survive DROP – they’ll finally measure what actually drives growth while competitors optimize on fictional attribution. That advantage compounds over time.

The window is open. The question is who moves first.

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Agiloft Creates AI Operations Function as Human-Centered AI Becomes Core to Enterprise Decision-Making

PRNewswire

February 25, 2026

Agiloft Creates AI Operations Function as Human-Centered AI Becomes Core to Enterprise Decision-Making

New executive role reflects growing shift from experimental AI adoption to disciplined, organization-wide AI operations and governance

Agiloft, a global leader in data-first contract lifecycle management (CLM), announced the appointment of Noe Ramos to Vice President of AI Operations, a newly defined executive role focused on turning artificial intelligence into measurable business capability. Formerly VP of IT, Cybersecurity and Operations Center of Excellence, Ramos now leads Agiloft’s enterprise AI operating model, a cross-functional strategy centered on human-centered adoption, operational alignment and real business outcomes.

Ramos’ appointment reflects a broader industry shift as organizations move beyond isolated AI pilots toward structured AI operations functions that combine technology, governance, workflow design, and cultural change. Rather than creating a siloed team, Ramos embeds evaluation directly into AI workflows, making it continuous and outcome driven. Drawing on her doctoral background in psychology, she emphasizes trust, change management, and alignment with how people think and collaborate.

“As organizations scale AI, we need disciplined evaluation rather than more tools,” said Ramos. “AI creates value only if it helps people do better work. That means aligning technology with human decision-making, embedding evaluation into workflows, and measuring what matters.”

Over the past year, Ramos has led a company-wide AI operating model that accelerated adoption across teams. Initiatives such as weekly AI Showcases – where employees demonstrate workflows, automations, prompts, and agents they have built – have shifted AI from isolated experimentation to peer-led, repeatable practice. Teams across professional services, customer success, people operations, and IT now use AI to unify data, surface insights faster and reduce manual effort, creating a culture where learning compounds.

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Agiloft has long championed AI-driven contract management through its CLM platform with AI on the inside™. Under Ramos’ leadership, the company applies the same philosophy internally –automating repetitive tasks so teams can focus on higher-value thinking and collaboration.

Eric Laughlin, CEO at Agiloft, added, “Noe is helping us walk the walk inside our own walls, redefining how enterprises approach AI. She is helping us advance how the company operates with intelligence embedded everywhere, ensuring every AI initiative creates meaningful impact for our people and customers. This is the kind of disciplined, human-centered approach companies need as AI becomes core to their operations.”

Internally, legal and operations teams use Agiloft’s CLM to centralize agreements, surface risk earlier in the deal cycle, and improve visibility into obligations and performance. By pairing structured contract data with AI-driven analysis, contracts become living sources of intelligence that inform decisions across finance, sales, and leadership.

Her doctoral work in psychology gives Ramos a rare ability to bridge technology and human dynamics. Her approach is grounded in responsible, human-centered design. Every AI deployment is governed by Agiloft’s AI Policy, emphasizing transparency, consent, security, and accountability. She has operationalized these principles through documented AI intake and vendor approval processes, clear data standards and ongoing employee education.

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“My role is part strategist, part systems thinker, and part change agent. Technology alone does not create transformation; how you implement it does. If you do not deeply understand how your organization actually works, AI will never deliver real value. At Agiloft, we are building AI capacity not just in tools but in mindsets, because this transformation is ultimately about empowering people to work smarter and amplifying their skills. It is a people first approach – not just deploying new technology.”

The impact is particularly visible in sales and go-to-market teams. By connecting Salesforce data with Agiloft’s CLM and AI capabilities, teams can instantly surface contract risks, deal blockers, and customer insights in plain language. This reduces manual analysis, accelerates RFP responses and improves negotiation readiness – boosting speed and confidence across the deal lifecycle as Agiloft continues scaling AI responsibly.

Looking ahead, Ramos will continue advancing Agiloft’s AI strategy across technology, data, operations and people, supporting the company’s vision of becoming an adaptive, AI-forward organization. As Agiloft moves toward 2026, its priority is scaling AI in ways that deepen daily workflow intelligence while preserving human judgment and collaboration.

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CSX Modernizes Data Platform with Infosys & Microsoft

PRNewswire

February 25, 2026

CSX Modernizes Data Platform with Infosys & Microsoft

Infosys Topaz and Microsoft Fabric joint implementation in transportation delivers real-time analytics, governance and business-ready data foundation

Infosys, a global leader in next-generation digital services and consulting, announced the successful completion of a major data modernization program for CSX Corporation, a leading rail-based freight transportation company. Built using Infosys Topaz™, an AI-first set of services, solutions and platforms using generative AI technologies, Microsoft Fabric and Microsoft Purview, the transformation is one of the largest deployments of its kind in the transportation and logistics sector.

Infosys led the end-to-end modernization effort, consolidating CSX’s fragmented data landscape into a unified cloud-native platform. The initiative replaced legacy systems with a single, governed data environment designed to improve decision-making, accelerate reporting and reduce operational costs. Automated metadata governance was achieved across 28 domains with 170+ data products created for adoption with AI accelerators, self-serve analytics & Azure monitoring. The program acceleration was enabled via Infosys and Microsoft’s seamless collaboration with CSX to meet their business objectives.

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Through this modernization, CSX achieved significant annual infrastructure savings and established a foundation for predictive analytics, logistics optimization and enterprise-wide operational intelligence.

John Maio, AVP, Enterprise Data & Analytics, CSX Corporation, said, “Collaborating with Infosys Topaz™ and Microsoft has enabled CSX to fundamentally transform our data landscape. By modernizing our reporting and analytics platform with Microsoft Fabric, we’ve consolidated over 50,000 legacy reports into just 1,200 actionable insights, empowering our teams with real-time intelligence and AI-driven decision-making. This transformation not only saved us thousands of hours through automation but also laid the foundation for a data-driven culture across our organization. We’re now equipped to unlock new opportunities in predictive maintenance, logistics optimization and operational efficiency—truly Making Data Talk® for CSX.”

Arun Ulag, President, Azure Data, Microsoft, said, “CSX’s journey with Infosys Topaz™ exemplifies the power of Microsoft Fabric to unify and modernize enterprise data estates at scale. By leveraging Microsoft Fabric’s intelligent, agentic data platform and robust governance capabilities, CSX has accelerated time-to-insight and enabled real-time analytics across critical business domains. We’re proud to see how our collaboration is helping CSX become AI-ready, driving measurable business impact and setting a new benchmark for innovation in transportation and logistics.”

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Karmesh Vaswani, EVP & Global Head, Consumer, Retail & Logistics, Infosys, said, “Our strategic collaboration with CSX and Microsoft reflects Infosys’ commitment to helping enterprises become AI-first. By leveraging Microsoft Fabric and our Infosys Topaz™ offerings, we delivered a unified, governed data platform that empowers CSX to anticipate disruptions, optimize operations, elevate customer experience and improve employee productivity. This transformation demonstrates how data and AI create measurable business impact at scale.”

The initiative was supported through Infosys’ long-standing collaboration with Microsoft, including joint participation in design and architecture planning and early access to Microsoft Fabric features.

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Docusign Partners with Anthropic to Bring Its Intelligent Contract Workflows to Cowork

PRNewswire

February 25, 2026

Docusign Partners with Anthropic to Bring Its Intelligent Contract Workflows to Cowork

Docusign, the leader in AI-powered contract management, announced that its Intelligent Agreement Management (IAM) platform is available as part of Anthropic’s Cowork. By connecting to Docusign in Cowork, businesses can securely create, review, send, and manage agreements from start to finish — all through natural language prompts in Cowork.

This integration transforms how teams work with agreements, moving from passive summarization to active execution like drafting agreements, routing them for review, and triggering downstream actions across legal, sales, procurement, HR, and beyond.

“Docusign and Anthropic are raising the bar for agreement actions,” said Allan Thygesen, CEO of Docusign. “What Docusign brings to agentic experiences like Cowork is deep context across all business agreements — the intelligent workflows that know how to act on that context and the trust, security, and scale enterprises expect.”

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“Cowork is designed to turn intent into action across complex, multi-step work,” said Matt Piccolella, Product Lead for Enterprise Apps at Anthropic. “Partnering with Docusign brings a leading system of record and execution for contracts into the Cowork experience, so people can confidently automate agreement workflows that matter most to their business.”

Here are just a few examples of what teams can accomplish:

Use natural language to draft a contract from Docusign’s Master Service Agreement template, populate business details, and route it to Legal for review
Instantly surface all customer contracts expiring in the next 90 days with a price increase clause, and take action directly from the results
Review AI-suggested redlines on a service contract, align them to company policy, and trigger a vendor review workflow
Request a summary report of all active contracts with a “data protection” clause and export it, formatted and ready to share
Initiate a new customer onboarding workflow and get notified the moment identity verification is complete, without leaving Cowork

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Empowering teams where they already work
Modern enterprises shouldn’t have to context-switch or choose between their preferred AI tools and their most critical agreement workflows. With Docusign natively integrated into Cowork, teams can execute sophisticated contract workflows without interrupting how and where they work.

Built on enterprise trust
The Docusign connector, built on the Model Context Protocol (MCP), brings enterprise-grade security to every agreement workflow in Cowork. Businesses must be authenticated by the platform, access is permission-based, and agreement data remains private and under the customer’s control.

The Docusign MCP connector is available today in beta globally, in English only, through Anthropic’s Connectors Directory for Docusign customers.

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AdImpact Launches AdMo+ Platform

Business Wire

February 25, 2026

Analytic Partners Identifies ‘5 Forces Shaping Marketing Budget Decisions in 2026’

New platform unifies political ad intelligence and expands CTV capabilities ahead of the 2026 midterms

AdImpact, a leading advertising intelligence company, announced the launch of AdMo+, an expansion of its existing television intelligence platform designed for the evolving political landscape.

AdMo+ integrates AdImpact’s advertising spend data, rate data, and creative analysis, including the industry’s largest ad catalog of over 1.6 million unique creatives across all 210 US markets, into one platform.

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Built for the increasing convergence of linear and streaming television, AdMo+ enhances AdImpact’s CTV offerings with the introduction of the industry’s first CTV ad alert system and zero share reporting across linear and CTV environments, enabling campaigns to identify competitive gaps in real time. These capabilities expand upon AdImpact’s CTV Intelligence, the most comprehensive CTV coverage available in the political marketplace.

The new platform features a significantly faster dashboard experience, integrated Cook Political Ratings, ZIP code and congressional district breakouts, a Custom Query Tool for advanced data exploration, traffic validation tools and a customizable airing log. By eliminating fragmented workflows and manual reporting, AdMo+ provides campaigns, agencies, and media buyers with a single source of truth for political advertising intelligence.

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“Streaming television is projected to see the biggest increase in spending during the 2026 midterms, so political campaigns need a platform designed for the new media mix,” said John Link, SVP of Data at AdImpact. “By combining real-time streaming alerts, seamless comparison between linear and digital TV activity and comprehensive market coverage, AdMo+ gives advertisers the intelligence they need to move faster and compete more effectively at scale.”

“In the fast‑moving political landscape, our clients win when they have data and analysis to make informed decisions,” said Bradley Perseke, Partner, GMMB. “Unified spend, creative, and CTV data in one dashboard makes that possible.”

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Engageware to Share Agentic AI Deployment Playbook for Telecom at Mobile World Congress 2026

Business Wire

February 25, 2026

TapClicks Expands Unified Marketing Intelligence with AudioGO and Instacart Instant-On Connectors

CEO Dan O’Malley to Join NetUno Chairperson and IDC Vice President for Executive Discussion on Scaling Agentic AI Across Service, Sales, and Field Operations

Engageware, the most used AI-powered customer engagement platform for regulated industries, announced it will showcase at Mobile World Congress 2026 how telecom providers can scale agentic AI into production with the governance, auditability, and operational controls required in high-volume, compliance-ready environments.

Engageware helps telecom providers scale agentic AI into production with the governance, auditability, and operational controls required in high-volume, compliance-ready environments.

“Telecom providers don’t struggle with AI ambition, they struggle with orchestration and governance,” said Dan O’Malley, CEO of Engageware. “At Mobile World Congress, we’ll share a practical deployment playbook that helps operators confidently move from prototype to production, so AI agents can operate across touchpoints while maintaining the compliance, auditability, and control telecom environments require.”

Trusted by more than 600 global enterprises, including 20% of the top 20 telecom providers in the Americas, Engageware will present a deployment framework designed for scaling automation across digital and human-assisted journeys while protecting trust, brand integrity, and compliance.

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Engageware (Stand 7F35, Hall 7) to Showcase AI Deployment Playbook and Telecom Use Cases

Engageware will showcase its AI deployment playbook alongside live demonstrations of telecom-ready journeys, including:

Billing and usage support (explanations, disputes, promotions, bundles)
Plans, upgrades, and add-ons (guided discovery, eligibility-aware flows)
Retail store appointments, installations, and field service scheduling
Sales qualification and lead capture (handoff-ready journeys)
Agent assist and governed knowledge access
Regulated communications and compliance controls

Executive Session to Help Telecom Leaders Move AI from Pilot to Production

“From Prototype to Profit: Executive Lessons on Scaling Agentic AI in CX” will be hosted live for Mobile World Congress attendees at 4:05pm on March 4th on the Broadcast Stage in Hall 4 and simultaneously streamed globally for telecom leaders not at the show.

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Engageware CEO Dan O’Malley will join NetUno Chairperson Gilbert Minionis and Diego Anesini, Research Vice President, Data & Analytics at IDC, for a live discussion on how telecom providers can move beyond demos to production-scale deployments with measurable business impact. The session will cover what it takes to scale AI agents across customer journeys to drive growth, improve conversion, and reduce cost and churn.

Extending Global Momentum

Engageware’s presence at Mobile World Congress follows its successful AI in CX Summit last fall, which brought together executives from leading banks and telecom providers including Banco Comafi, América Móvil, Banorte, Banco Columbia, and the Mexican Institute of Teleservices (IMT), to share how enterprises are moving beyond AI pilots to production rollouts with measurable ROI. These organizations highlighted their use of governed agentic service and messaging channels such as WhatsApp to accelerate acquisition, improve resolution, and scale engagement in highly regulated environments.

Building on that momentum, Engageware is bringing its governed AI platform to a global stage. To connect with Engageware at Mobile World Congress 2026, visit Stand 7F35 in Hall 7 or click here to schedule time with Engageware experts.

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The 2026 Braze Customer Engagement Review: AI Innovation Meets the Trust Plateau

Business Wire

February 25, 2026

The 2026 Braze Customer Engagement Review: AI Innovation Meets the Trust Plateau

Agentic Commerce Poised to Accelerate; Marketers Fear Losing Direct Relationships as Nearly Half of Surveyed Consumers Expect to Interact with Brands through AI Agents by the end of 2026

Braze , the leading customer engagement platform that empowers brands to Be Absolutely Engaging™, released its 2026 Global Customer Engagement Review (CER). As artificial intelligence (AI) transitions from a back-office efficiency tool to a front-line customer interface, brands face an existential challenge: maintaining a meaningful connection in an increasingly automated landscape. These survey results reveal a critical “Trust Gap,” exposing a widening expectation divide between what businesses believe AI delivers and what customers actually experience. While 93% of marketing leaders believe AI helps them accurately understand customer needs, only 53% of consumers feel brands are successfully predicting their wants. Additionally, while 60% of these marketers use AI to support personalization across channels, nearly half lack the tools needed to orchestrate coordinated experiences across those channels. This disconnect signals a monumental shift in the competitive landscape, where the brands that prioritize real-time context and human-centric value will be best positioned to outpace the status quo.

“As AI reshapes the landscape of customer engagement, the rise of agentic commerce can feel like a moment where marketers’ direct customer relationships are slipping away. But this shift likely represents the most significant opportunity for marketers in a generation,” said Astha Malik, Chief Business Officer at Braze. “To succeed in this new frontier, we must stop viewing AI as a standalone tool and start approaching it as a complete ecosystem where predictive analytics, reinforcement learning, and agents work together to deliver experiences that resonate. In times of disruption, the competitive advantage belongs to those who use new technology to connect more deeply with consumers. By centering the human need for value, convenience, and connection while taking a composable approach to data and intelligence, marketers can build loyalty and lay a sustainable foundation for engagement—no matter what the future holds.”

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The Rise of AI Agents

A fundamental shift is occurring in how people interact with businesses. The report predicts a near-term future of “bot-to-bot” engagement, where consumers increasingly rely on personal AI agents and large language models (LLMs) to manage their digital lives.

Doubling Adoption: While only 19% of consumers currently use AI agents for brand interactions, that number is expected to jump to 46% by the end of 2026.
Generational Leadership: Gen Z is leading this transition into an agent-led world; 64% already feel brands are maintaining a human touch with AI, compared to 46% of consumers overall.
Strategic Intent: Marketers will need to adapt to this new frontier, with 35% of consumers citing the opportunity to negotiate better deals and discounts as a reason to embrace AI agents.

What this looks like for industries

Retail: AI-powered fit experts and personalized styling agents, as well as order and delivery management agents
Financial Services: Personalized finance agents and trading agents that execute trades based on real-time market signals
Healthcare: Frictionless replenishment agents that handle complex natural language requests to reorder supplies.

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The Data Standoff and Consumer Skepticism

The consumer survey findings reveal deep-seated skepticism toward brands’ current AI practices, highlighting the high stakes for data handling:

The Trust Barrier: 27% of consumers currently refuse to share any data with AI agents, even when promised a superior or more personalized experience. However, the 2026 CER shows that top-performing Braze customers are 30% more likely to use AI to anticipate purchase intent, allowing them to capture demand in real time.
Privacy Deal-breakers: Data misuse remains the primary threat to customer retention. 43% of consumers state they would stop engaging with a brand entirely if their personal data were misused.

What Brands Can Do Moving Forward

While the trust gap presents real challenges, the 2026 Customer Engagement Review shows that the financial rewards for brands that prioritize human-centric context are significant. Top-performing brands have moved beyond using AI for simple automation, instead leveraging it to create meaningful exchanges that resonate with consumers. When companies use data to accurately predict and meet customer needs, the result is more than just a transaction; consumers are 30% more likely to stay loyal and 26% more likely to recommend the brand. To succeed , brands must earn the trust of consumers by proving they understand their unique wants and needs, offering personalized experiences and products that genuinely resonate, rather than adding to the digital noise.

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Seemplicity Introduces Seema for Conversational Exposure Intelligence

Business Wire

February 25, 2026

Seemplicity Introduces Seema for Conversational Exposure Intelligence

Seema transforms how security teams interact with exposure data by converting complex questions into real-time answers based on live operational insight

Seemplicity announced the launch of Seema, an AI-powered conversational assistant that makes it easier for cybersecurity teams to gain clarity on their exposure management posture. Seema is paired with Seemplicity’s Agentic Exposure Action Platform, the first platform to connect high-volume security signal data with an agentic workforce that turns findings into fixes.

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“Too many tools require you to know exactly what you’re looking for before you can even ask. With Seema, you simply ask.” -Ravid Circus, co-founder and chief product officer of Seemplicity

Security teams do not suffer from a lack of data; they suffer from a lack of clarity. Critical questions about exposure, remediation progress, and service-level agreement (SLA) performance are often buried across disparate dashboards and disconnected views. Getting answers typically requires deep platform expertise, manual analysis, and time most teams simply do not have. Seema and Seemplicity’s AI agents bridge this gap.

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“As attackers use AI to rapidly identify and exploit exposures, visibility without action won’t cut it,” said Ravid Circus, co-founder and chief product officer of Seemplicity. “We introduced AI agents to take on the operational burden of exposure management. Now, we’re putting that intelligence directly in users’ hands. Teams can ask real questions and get clear answers grounded in their own data. Too many tools require you to know exactly what you’re looking for before you can even ask. With Seema, you simply ask.”

Seema introduces a conversational interface to Seemplicity’s production-ready AI agents for exposure management. This extends the value of current security tools and vulnerability management teams by automating prioritization, routing, and remediation workflows at scale. Seema’s natural-language interface to exposure intelligence provides teams a faster, more intuitive way to understand what’s the fix, where’s the fix, who’s the fixer, and why the fix matters.

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Conductor Brings Native AI Content Optimization to Acquia CMS Through New OEM Partnership

Business Wire

February 25, 2026

Conductor receives Acquia’s 2025 Partner of the Year award as integration streamlines AI-powered content creation for enterprise teams

Conductor, the only end-to-end, enterprise AEO platform, announced a formal OEM partnership with Acquia, integrating Conductor’s content creation and optimization capabilities directly into the Acquia digital experience platform. As part of the announcement, Acquia has also named Conductor its 2025 Partner of the Year for Advanced Technology, recognizing the collaboration’s impact on customer outcomes and ecosystem growth.

Conductor becomes Acquia’s 2025 Partner of the Year, integrating AI content optimization directly into Acquia CMS to streamline creation and search visibility for enterprise teams.

The partnership enables enterprise content teams using Acquia’s CMS to access Conductor Creator functionality natively within their publishing workflows. Rather than switching between systems or exporting drafts for optimization, the agreement means marketers can research, write, and refine content directly within the CMS using AI-driven insights to guide content structure, relevance, and search visibility.

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The announcement reflects a broader shift in how organizations approach digital visibility as AI reshapes discovery. As AI-driven experiences increase demand for both higher volume and quality of content, teams need tools to create that content efficiently and at scale. Conductor addresses this need with the market’s leading AI-powered content creation capabilities, embedded directly within Acquia’s CMS, streamlining workflows and enabling Acquia customers to create high-quality, AI-assisted content directly in Acquia Source.

“AI has fundamentally changed where and how customers discover brands,” said Pat Kent, VP of Partnerships at Conductor. “Optimization can no longer be considered something to do once content is published. Instead, it must be built into the creation process. By embedding our capabilities directly into Acquia’s CMS workflows, we are helping teams operationalize AI-ready content at the point of production where it has the greatest impact.”

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The integration between the two organizations enables marketing teams to align content strategy with real-time insights as they write, supporting both traditional search performance and emerging answer engine visibility. Reducing friction between content creation and optimization enables enterprises managing complex digital environments to improve efficiency while bolstering governance and consistency.

For Acquia, the OEM agreement builds on a partnership that has already delivered measurable value across joint customers. The Partner of the Year designation reflects technical collaboration, customer adoption, and revenue performance within the Acquia partner ecosystem.

“Our customers expect their digital experience platform to help them publish efficiently and improve results,” said Paul Raisanen, SVP of Partnerships at Acquia. “Conductor has shown that search and AI insights are most valuable when they are accessible inside the tools teams already use. Bringing those capabilities directly into Acquia’s platform gives content teams clearer direction while they are writing, not after the fact.”

AI is changing how content is discovered and evaluated. Content systems can no longer function as basic repositories. This agreement reflects a shared focus on making the creation process more informed, structured, and aligned with how modern discovery actually works.

As enterprises continue to adapt to AI-driven search and generative discovery models, this integration provides Acquia customers with a streamlined path to creating content tailored to how audiences now find and evaluate information.

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New Relic Unveils Platform Innovations that Align Technical Performance to Business Outcomes, Making Observability a Value Driver

Business Wire

February 25, 2026

New Relic Unveils Platform Innovations that Align Technical Performance to Business Outcomes, Making Observability a Value Driver

Intelligent Workloads automate discovery of complex dependencies for a complete view into failure causes, reducing MTTR and protecting revenue

Digital experience monitoring innovation provides highly granular visibility into cause of issues impacting customer experience for enterprises using micro front-end architectures

Enhanced agentic AI monitoring shines light on complex multi-agent systems, empowering enterprises to optimize digital workforces and troubleshoot issues with clarity and speed

New Relic, the Intelligent Observability company, announced a series of platform innovations that connect technical performance to customer impact and business outcomes. Led by Intelligent Workloads that automate the discovery of complex dependencies and align system health with business KPIs, New Relic monitors what matters to its customers in the AI era, empowering them to resolve incidents faster and quantify the direct impact of performance on revenue.

New Relic has evolved APM to focus on the modern essentials. This includes Intelligent Workloads, which automates the discovery and mapping of complex dependencies for a 360-degree view of performance, infrastructure, user impact, and business outcomes.

Application Performance Monitoring (APM), the lens through which enterprise health is measured, is evolving to align with applications. New Relic augments traditional APM metrics from all of an enterprise’s apps — including those built via AI — with business understanding by delivering a complete view of a customer’s digital journey and the organization’s third-party data.

“Companies that will thrive in the AI era understand that observability is no longer solely focused on systems performance. It’s now part of the business conversation,” said New Relic Chief Product Officer Brian Emerson. “For organizations, the risk is no longer just outages, it’s being blind to business impact. If teams can’t quickly and confidently answer what changed, how their customers were impacted, or how revenue was impaired, decisions slow down while risk quietly compounds. Drawing on our roots in APM, we’ve evolved monitoring to stay ahead of customer needs and directly align with business metrics.”

The ‘what’ and the ‘why’: Understanding failure causes and business impact with Intelligent Workloads

New Relic’s Intelligent Workloads automate the discovery and mapping of complex dependencies for a 360-degree view of performance, infrastructure, user impact and business outcomes. Leaders can move beyond “green or red” technical indicators and instead quantify exactly how service performance impacts KPIs like revenue, abandoned carts, and user experience. This context-aware observability enables teams to resolve incidents faster, manage modern transaction-oriented and agentic AI workloads with precision, and rapidly quantify the business impact of technical issues—transforming observability from a maintenance task into a strategic driver of service reliability and business growth.

Micro front-end performance monitoring: Granular DEM for every enterprise

Digital experiences that fail to meet customer needs directly erode revenue, yet engineers can struggle to determine the source of an issue within intricate Web architectures. New Relic has enhanced its Digital Experience Monitoring (DEM) solution to meet the monitoring needs of customers with micro front-end (MFE) architecture, where Web apps are broken down into smaller components and often managed by multiple developer teams. Customers can now monitor every component of their MFE architecture and collect metrics on performance timing, errors, renders and lifecycle methods in order to understand upstream/downstream relationships, effects and dependencies that impact the digital customer experience.

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Agentic AI monitoring: Accelerating resolution in the multi-agent stack

An organization rolling out agentic AI must have complete visibility into the interconnected agent-agent mesh to spot and resolve issues before they impact performance. The 2025 Observability Forecast found the majority of organizations are aware of observability’s importance—the use of AI monitoring capabilities went from 42% in 2024 to 54% in 2025—as the cost of business downtime grows. New Relic’s new capabilities for Agentic AI Monitoring include a service map of all interactions between agents, a concise view of agent performance (e.g., number of requests, average latency and error percentages) and a drill down into the trace of a called agent/tool, accelerating problem resolution and improving overall operational efficiency.

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AI-strengthened innovations protect mission-critical, revenue-driving applications

Enterprises that connect AI behavior to user experience and business outcomes can deploy AI with confidence. To help teams understand how modern applications actually behave, New Relic introduced several new intelligent platform capabilities:

New Relic Lens: To understand the business impact of application performance issues, errors or the costs associated with a product or feature, one needs to combine observability data with data that lives in other systems such as Postgres, Snowflake, or in-house SQL databases. New Relic Lens allows users to connect and query multiple external data sources, all from within the New Relic UI. Users can combine, analyze and correlate telemetry and non-telemetry (e.g., business) data using sophisticated cross-database joins without ingesting the external data.
Federated Logs: Enables teams to query data directly at its source, extracting full value and in-context insights without the need for custom schemas or re-ingestion. Using the Pipeline Control Gateway (PCG), logs stored in Amazon S3 storage are automatically processed and formatted, keeping raw data securely within local customer environments so engineers can access granular insights within the same UI, seamlessly integrated with the rest of the stack. This solution accelerates troubleshooting by eliminating manual toil and context switching, ensuring teams meet data residency mandates while maintaining 100% visibility for critical issue resolution.
eBPF: Network Metrics: Provide lightweight kernel-level network visibility that complements APM, with zero instrumentation across application, infrastructure, and network layers. The granular Transmission Control Protocol (TCP) and Domain Name System (DNS) metrics, including handshake latency and DNS failures, address blind spots in troubleshooting. Process-level attribution ties network issues back to the originating process, speeding up root cause analysis.
New Relic Notebooks: Designed to transform one-off queries into dynamic runbooks, New Relic Notebooks allow users to leverage variables to create adaptable, repeatable investigative flows that can be linked directly to alerts. By combining queries and visualizations with descriptions, teams can document every step of their process. As a saved document, New Relic Notebooks enable users to store their analytical workflows and easily share them with colleagues, making them an essential tool for collaborative knowledge transfer and post-mortem reviews.
Homepage: Once the responding engineer has added data to the New Relic Notebook, they return to their Homepage — a personalized start page designed to eliminate context-switching. The intelligent Homepage provides a customizable workspace and an intelligent launchpad for accessing the platform capabilities, entities, dashboards and favorite items essential to daily work.

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GReminders Brings Native AI Meeting Experience to Redtail CRM

Business Wire

February 25, 2026

GReminders Brings Native AI Meeting Experience to Redtail CRM

Enhanced integration embeds the entire meeting lifecycle directly into advisors’ primary CRM workflow

GReminders, a leading end-to-end meeting and automation management platform for financial advisors, announced a major expansion of its long-standing integration with Orion’s Redtail CRM. The enhanced integration brings GReminders AI-powered meeting assistant technology directly inside the Redtail platform, embedding notetaking, pre-meeting intelligence and scheduling natively within advisors’ primary CRM workflow.

Redtail is GReminders’ most widely used CRM integration, with more than 2,500 active advisors. The enhancement represents a significant evolution of the existing partnership. By integrating directly into Redtail, advisors can manage the entire meeting lifecycle—from preparation to follow‑up—without ever leaving the Redtail interface. Together, GReminders and Redtail are providing a complete meeting lifecycle solution within a single platform for financial advisors.

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“Advisors waste a lot of time juggling multiple tools,” said Arnulf Hsu, founder and CEO of GReminders. “They shouldn’t have to choose between adding powerful technology and keeping their workflows simple. AI is expanding advisor tech stacks rapidly, and our expansion within Redtail means their users can take advantage of powerful capabilities without adding operational complexity or switching systems. Bringing GReminders natively into Redtail eliminates friction, saves time and raises the bar for how advisor technology can work together.”

The enhanced integration allows advisors to:

Automatically generate AI‑powered meeting notes and store them directly in Redtail
Enter every meeting with AI-prepared pre-meeting briefs
Enable seamless client scheduling with all activity synced to Redtail contact records
Eliminate manual data entry and reclaim hours each week previously spent managing meetings
Access scheduling requests, booking activity and AI-generated summaries directly within each client record

Once enabled, a new GReminders meeting tab appears, giving advisors real‑time access to AI-generated summaries, scheduling activity and booking management inside each client record.

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“We’re excited to deploy GReminders’ AI capabilities further within Redtail,” said Brian Towner, AVP, Product Strategy at Orion. “This integration addresses the entire meeting lifecycle for our advisors. It not only streamlines scheduling and meeting preparation, but it also helps advisors adopt new AI tools quickly without disrupting the systems they already rely on every day. By keeping workflows centralized, advisors can focus on delivering a consistent, high‑quality experience for every client.”

As advisor technology stacks continue to expand, GReminders’ native Redtail experience helps advisors adopt AI without adding operational complexity. The integration further reduces administrative burden while delivering a more consistent, modern client experience.

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New Relic Launches Innovations to Simplify and De-Risk OpenTelemetry Adoption in the Enterprise

Business Wire

February 25, 2026

New Relic Launches Innovations to Simplify and De-Risk OpenTelemetry Adoption in the Enterprise

APM hybrid agents and Collector Observability give customers choice for app instrumentation and a seamless bridge to open standards at their own pace

New Relic, the Intelligent Observability Company, announced innovations that empower businesses to unlock the full potential of OpenTelemetry (OTel) with more ease and efficiency than ever before. The new capabilities remove the burden and resource drain of integration work, clearing a seamless and cost-effective path for enterprises leveraging open standards.

New Relic unveils APM hybrid agents and Collector Observability to give customers choice for app instrumentation and a seamless bridge to leveraging OpenTelemetry at their own pace.

Best-of-both-worlds instrumentation for unified visibility across the entire software ecosystem

OTel—which provides the standardized tools and APIs needed to capture and transmit telemetry data for any observability stack—is growing in enterprise use, with nearly half of organizations using it in production. However, the shift toward OTel has historically forced a compromise: adopt open standards at the cost of massive refactoring and lost functionality or remain with proprietary agents and risk isolation. This ‘migration tax’ has prevented many enterprises from modernizing their stacks, creating a critical need for a bridge between the two ecosystems. New Relic APM agents now offer enhanced OTel compatibility by embedding OTel API compatibility and instrumentation support directly into the existing language agents. New Relic is committed to furthering the vendor-neutral, implementation-neutral vision of OTel, where telemetry is consumed directly from third-party open source libraries instrumented using the OTel APIs.

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New Relic’s APM hybrid agents provide a unified data foundation to easily build, deploy, and manage data collection while providing comprehensive backward compatibility with existing New Relic dashboards and alerts, allowing organizations to modernize their telemetry stacks without a ‘rip-and-replace’ effort. This unified approach ensures seamless mixed-mode interoperability—e.g., keeping traces intact across fragmented environments—while empowering teams to adopt OTel capabilities like dimensional metrics and span links at their own pace. Only New Relic unifies these capabilities into a single, intelligent agent that handles both data streams.

“We believe that vendor lock-in should never be a barrier to innovation. Accessing the power of OTel should be seamless, allowing every business to leverage open standards without the traditional complexity,” said New Relic Chief Product Officer Brian Emerson. “With our newest capabilities, we’ve removed the innovation tax many enterprises face when looking to embrace open standards. With an easier migration to OTel, organizations avoid expensive engineering toil, retraining costs, and operational disruptions. Businesses can finally adopt OTel at their own pace, turning open standards into a strategic tailwind rather than a technical burden.”

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Standardize on OTel with Infra NRDOT, minus the operational overhead

New Relic’s OTel-based infrastructure monitoring, built on the New Relic Distribution of OpenTelemetry (NRDOT), eliminates the need to choose between rigid proprietary agents and the toil of building OTel pipelines from scratch. It delivers OTel-native visibility for hosts and applications, mapped directly into New Relic dashboards and curated experiences. Its integrated Adaptive Telemetry Processor ensures lean, cost-efficient host process telemetry by filtering out noise. Customers only pay for the most critical insights, allowing teams to standardize on OTel without compromising visibility or increasing data ingestion costs. For customers leveraging Infra NRDOT, New Relic offers enterprise-grade customer support.

Confidently scale OTel adoption through first-class Collector Observability

New Relic’s Collector Observability provides customers with a dedicated, first-class experience for monitoring the health and performance of their OTel Collectors, a proxy that acts as the ‘middleware’ for a business’s observability data. Operating OTel Collectors can leave engineers flying blind because it’s a challenge to distinguish between resource saturation, configuration errors, or connectivity issues. New Relic’s Collector Observability capability reduces these barriers and provides real-time visibility into collector health and performance. This empowers customers to resolve bottlenecks before they lead to data loss, ensuring a seamless and scalable path to OTel adoption.

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Comcast Advertising Appoints Former Snap Executive James Borow to Lead Universal Ads

Business Wire

February 25, 2026

Comcast Advertising Appoints Former Snap Executive James Borow to Lead Universal Ads

Borow, who helped launch Universal Ads, will oversee the ad buying platform as it heads into its second year and next phase of growth.

Comcast Advertising announced it named James Borow as General Manager of Universal Ads, which enables brands of any size to create, buy and measure ads across premium video. In this role, Borow will lead strategy, operations and execution of the self-service ad buying platform as it continues to evolve and scale. As the previous Vice President of Product Management and Engineering for Universal Ads, he played a key role in bringing the platform to life, from product development to launch.

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“Universal Ads has built a strong foundation in its first year—the pace and quality of execution have been incredible,” said James Rooke, President, Comcast Advertising. “As such, many ecommerce and social-first advertisers were able to reach audiences on TV for the first time, with exceptional return on ad spend thanks to the performance power of premium video. As we enter year two, James is the ideal person to take the helm, applying his insights and learnings from big tech to Universal Ads as we continue our journey to make TV advertising simple to buy, just like social.”

Borow has more than 15 years of experience in building performance-driven advertising products and partnerships. Previously, he served as Global Director of Product Strategy, Go-to-Market, and Partnerships at Snap Inc., where he helped scale the company’s advertising business from zero to over $1 billion in revenue. He is a two-time exited founder of Market AI and SHIFT and has served as an advisor to a variety of category-defining advertising and technology platforms, including Discord, Grab, and Reddit.

“I’ve been fortunate to work alongside this team from the beginning, and I’m excited to lead what comes next for Universal Ads,” said James Borow, General Manager, Universal Ads. “In the year ahead, we’ll keep expanding the ecosystem and lowering the barriers to entry, including unlocking premium moments like the Olympics in ways that make it easier for all brands to participate, measure impact and keep investing.”

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As GM, Borow will join Rooke’s Executive Leadership Team, underscoring the strategic importance of Universal Ads within Comcast Advertising’s growth plan and strengthening integration across the broader Comcast, including FreeWheel and NBCUniversal. For instance, Universal Ads just served as the first-ever, exclusive ads manager for NBCUniversal’s coverage of the Milan Cortina Olympic and Paralympic Winter Games.

This milestone also marks a year since the launch of Universal Ads. Over the past 12 months, the team has expanded the publisher ecosystem, advanced product capabilities across creation, buying and measurement, and brought new partners into the platform to increase access to premium video for performance-minded advertisers.

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Clinch Enhances Its Digital Asset Management (DAM) With Debut of Creative Template Catalog and AI-enabled Atomic Asset-Level Optimization

PRNewswire

February 24, 2026

Clinch Enhances Its Digital Asset Management (DAM) With Debut of Creative Template Catalog and AI-enabled Atomic Asset-Level Optimization

New Flight Control Feature Provides a Scalable Foundation for Omnichannel Advertising and Influencer-Driven Campaigns

Clinch, the Agentic AI platform for omnichannel content orchestration, announced the launch of its Creative Template Catalog, a new feature within Flight Control’s AI-enabled Digital Asset Library. The Catalog offers advertisers a curated library of fully customizable, dynamic ad templates designed around proven best practices by vertical and KPI, and optimized for a wide range of channels, formats, and audiences.

“This represents a major step forward in redefining creative at scale by bringing fragmented creative workflows into a single content orchestration platform,” said Oz Etzioni, CEO & Co-founder of Clinch. “We’re consolidating multiple point solutions across production, asset management, and optimization into one centralized system where data, assets, and strategy work seamlessly together. The Creative Template Catalog gives teams a scalable foundation while enabling AI-driven optimization from the start, reducing operational complexity and freeing teams to focus on strategy and storytelling.”

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By establishing flexible creative frameworks upfront, the Creative Template Catalog enables Flight Control’s AI-driven workflows to generate and adapt ad variations quickly while maintaining brand integrity. Advertisers can scale creative across formats, sizes, and channels with confidence, knowing every version adheres to built-in design standards. The Catalog also includes templates that seamlessly combine creator-generated content with brand assets in predefined, brand-safe layouts – ready to activate at scale.

Key Benefits of the Creative Template Catalog:

Accelerated Speed to Market
Launch campaigns faster by starting from proven creative frameworks instead of building from scratch, dramatically reducing production timelines.
Built-in Best Practices by Design
Templates are designed around vertical-specific and KPI-driven best practices, helping ensure high-quality creative from the first iteration.
Scalable, Brand-Safe Creative
Flexible templates allow teams to generate and adapt creative across formats, sizes, and channels while maintaining consistent brand standards.
Atomic Asset-Level Intelligence
AI auto-tags every creative component, giving advertisers granular visibility into performance at the asset level across all ad variants.
Creator + Brand Content, Simplified
Predefined layouts make it easy to combine creator-generated content with brand assets in a way that is compliant, consistent, and ready to scale.
Reduced Cost and Resource Strain
Ideal for teams with limited in-house creative resources, the Catalog minimizes design effort and associated costs while maximizing output.

WITHIN, a full-service digital marketing agency uniting media, creative & commerce, had this to say about its use of the Template Catalog:

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“Clinch’s Template Catalog has changed how we approach creative production,” said Piper Brantley, Programmatic Manager at WITHIN. “By connecting it to our product feed, we can dynamically generate thousands of variants instead of building them one by one. That kind of automation is exactly what we need to scale our campaigns more efficiently.”

Advertisers can browse a growing library of categorized templates, each supported by clear descriptions and metadata such as ad type, animation style, and format specifications. All creative elements are automatically tagged via AI, giving teams deep visibility into performance across every asset, along with applied historical performance indicators at the atomic level—unlocking smarter, faster creative optimization.

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XTM unveils XTM Agent to bring agentic AI into enterprise localisation workflows

PRNewswire

February 24, 2026

XTM unveils XTM Agent to bring agentic AI into enterprise localisation workflows

XTM’s conversational AI agent transforms how teams navigate localisation workflows, with core capabilities now available for free across all XTM Cloud plans

XTM International has announced the launch of XTM Agent, a conversational, context-aware AI agent embedded directly into XTM Cloud. Built to help project managers, localisation teams move faster and with far less friction by turning scattered project information into simple, guided next steps that anyone can act on.

This launch is a significant step forward in XTM’s AI roadmap, strengthening its position as the leading AI globalisation platform for enterprises that want to automate low-value work, speed up delivery, and maintain control across every stage of the localisation process.

Bringing intelligence and focus to high-volume operations

Teams managing global content operations today aren’t dealing with a few big projects anymore. They’re handling hundreds or even thousands of small ones at the same time.

With so much happening in parallel, it becomes hard to know what to focus on, which tasks are at risk, or which vendor is the right fit. On top of that, users lose time jumping between screens or searching through help pages just to find simple answers or troubleshooting steps.

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XTM Agent solves these everyday problems by acting as a smart assistant inside XTM Cloud.

XTM Agent understands what’s happening across your projects and gives clear, timely guidance so teams can move faster and avoid unnecessary admin. Instead of digging for information, users get direct answers and recommendations right when they need them.

With XTM Agent, teams can:

Get answers instantly without searching through manuals or help articles.
Fix issues faster with step-by-step guidance and links to the right resources.
See what to prioritise next based on deadlines, workload, and potential risks.
Find the right vendor for the job with suggestions based on skills, availability, and timing.
Receive helpful recommendations on settings, configurations, and best practices.

Use agentic AI to maximise operational efficiency

“Localisation teams are under pressure to deliver more, faster, and with fewer resources,” said Lorcan Malone, CEO of XTM International. “XTM Agent takes away the constant juggling act, so teams can focus less on admin and fire-fighting, and more on quality, strategy, and delivery.”

“Our goal is to empower every user with XTM Agent, which is why we’re making its core capabilities available for free across all XTM Cloud plans.”

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

“So much of a project manager’s day is eaten up by small questions, manual checks, and trying to piece together what’s going on,” said Andreas Ljungström, Head of Product at XTM. “XTM Agent gives that time back. It’s like having a teammate who already knows the context, understands your priorities, and helps you make the right call without slowing you down.”

XTM Agent builds on XTM’s continued investment in AI, following the introduction of its Advanced AI capabilities last year and most recently, Intelligent Post-Editing.

The launch reinforces XTM’s mission to make global content delivery faster, easier, and more scalable by giving enterprises an AI platform that removes friction from every stage of localisation.

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Bloomreach Surpasses $260 Million in Annual Recurring Revenue, Fueled by Adoption of Loomi AI Agentic Platform

Business Wire

February 24, 2026

Bloomreach, the AI platform for personalization, announced it surpassed $260 million in annual recurring revenue (ARR) in 2025, fueled by rapid adoption of the company’s agentic platform, Loomi AI. Closing the year with its strongest quarterly performance in company history, Bloomreach also achieved positive free cash flow and record net new ARR in 2025.

Using AI to personalize the customer experience has been our mission from day one, and as AI advances, the value we can provide just continues to compound. We were built for this moment.

“Even amidst this rapidly changing technology market, Bloomreach is seeing phenomenal growth. That’s a testament to the value Loomi AI is delivering for customers,” said Raj De Datta, co-founder and CEO, Bloomreach. “Using AI to personalize the customer experience has been our mission from day one, and as AI advances, the value we can provide just continues to compound. We were built for this moment.”

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

In addition to its 2025 financial milestones, Bloomreach saw notable achievements throughout the year in areas including:

Next Generation AI Adoption: In addition to the embedded AI already used within Bloomreach products, nearly half of all Bloomreach customers now also have at least one agent or next generation AI tool. This number has more than doubled in the last twelve months, while the number of customers with four or more agents or next generation AI tools has quadrupled in the same period.
Customer Growth: Bloomreach grew its customer base to include new brands such as Thirdlove, ALDO, Halfords, and SPANX, and expanded its relationships with existing customers such as Next and Desigual.
Agentic Innovation: During the holiday shopping season, Bloomreach’s conversational shopping agent saw a 113% increase in shopper engagement. Its marketing agents are already delivering a 2x increase in value per email delivered for customers like Sideshow.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

Product Innovation: The company continued to invest in its agentic platform, Loomi AI, fueling notable innovation such as the ongoing rollout of its marketing agents; AI decisioning for customer journeys; personalized media in grid for product discovery; and more. The recent launch of Loomi Connect also made the company’s product discovery technology available through the Model Context Protocol (MCP), bringing ecommerce search intelligence directly into platforms such as ChatGPT.
Global Expansion: The company launched a new data center to serve customers in Australia and New Zealand, made several key hires across the APAC region, and expanded its footprint in Spain and Italy with strategic additions to its sales and partnerships teams.
Partnerships: Bloomreach attained Amazon Web Services (AWS) Retail Competency designation and launched its products on the AWS Marketplace. The company also announced partnerships with Databricks and Captain Up during the year.
Awards and Recognition: Bloomreach was named a Visionary in the 2025 Gartner® Magic Quadrant™ for Multichannel Marketing Hubs and a Leader in the Gartner® Magic Quadrant™ for Personalization Engines. The company was also named to the 2025 Inc. 5000 List of America’s Fastest Growing Private Companies.

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New guidance explains how AI-backed optimization helps local service businesses generate measurable leads, not just traffic.

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EnforceAuth Free Version — with no vendor lock-in

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Privacy rights go from theoretical to operational

Third-party data reliability collapses at scale

Ad platforms cannot grade their own homework

The Q1 2026 checklist for marketing leaders

Audit your data dependencies.

Implement incrementality testing.

Accelerate first-party data collection.

Invest in media mix modeling.

The competitive advantage of moving early

First-party marketing software in a post-DROP world

New executive role reflects growing shift from experimental AI adoption to disciplined, organization-wide AI operations and governance

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Infosys Topaz and Microsoft Fabric joint implementation in transportation delivers real-time analytics, governance and business-ready data foundation

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New platform unifies political ad intelligence and expands CTV capabilities ahead of the 2026 midterms

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CEO Dan O’Malley to Join NetUno Chairperson and IDC Vice President for Executive Discussion on Scaling Agentic AI Across Service, Sales, and Field Operations

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Agentic Commerce Poised to Accelerate; Marketers Fear Losing Direct Relationships as Nearly Half of Surveyed Consumers Expect to Interact with Brands through AI Agents by the end of 2026

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Seema transforms how security teams interact with exposure data by converting complex questions into real-time answers based on live operational insight

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Conductor receives Acquia’s 2025 Partner of the Year award as integration streamlines AI-powered content creation for enterprise teams

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Intelligent Workloads automate discovery of complex dependencies for a complete view into failure causes, reducing MTTR and protecting revenue

Digital experience monitoring innovation provides highly granular visibility into cause of issues impacting customer experience for enterprises using micro front-end architectures

Enhanced agentic AI monitoring shines light on complex multi-agent systems, empowering enterprises to optimize digital workforces and troubleshoot issues with clarity and speed

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Enhanced integration embeds the entire meeting lifecycle directly into advisors’ primary CRM workflow

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APM hybrid agents and Collector Observability give customers choice for app instrumentation and a seamless bridge to open standards at their own pace

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Borow, who helped launch Universal Ads, will oversee the ad buying platform as it heads into its second year and next phase of growth.

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New Flight Control Feature Provides a Scalable Foundation for Omnichannel Advertising and Influencer-Driven Campaigns

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XTM’s conversational AI agent transforms how teams navigate localisation workflows, with core capabilities now available for free across all XTM Cloud plans

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