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Structured Launches AI-Native Partner Marketing Execution Platform; Microsoft Deploys Globally

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Over The Top SEO Launches the Industry's First Full-Scale Generative Engine Optimization Division

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AI-Native, Multi-Agent PMEP Purpose-Built for Enterprise Ecosystems to Activate Partners and Accelerate Channel Revenue

Structured announced the general availability of its AI-native Partner Marketing Execution Platform (PMEP), purpose-built to transform how global enterprises activate and scale partner ecosystems. Microsoft has deployed the platform across its global partner network, validating the system at one of the largest and most complex channel environments in the world.

Structured’s platform represents a fundamental shift in partner marketing. For years, partners were expected to log into portals, search content libraries, assemble campaigns, localize assets and manage compliance on their own. The result was predictable: friction slowed execution, engagement declined and revenue opportunities stalled.

Structured removes that friction entirely. Through AI-powered “Just Ask” conversational experience, partners simply describe their goal. The platform builds, localizes, personalizes and launches fully integrated, full-funnel campaigns automatically, with governance and compliance built in. For those with more marketing expertise, the platform also responds to direct input, turning requests into fully built campaigns automatically.

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

The result is higher partner engagement, more campaigns in market, increased pipeline creation and clearer revenue visibility for the enterprise.

“Friction has been the hidden tax in partner marketing. When execution is complicated, partners disengage. Structured removes that friction. We make it effortless to build, localize, and launch campaigns so partners can focus on going to market. When more partners execute, pipeline grows and indirect revenue becomes measurable,” said Stacey Epstein, CEO of Structured. “This is what we mean when we say – Every Partner, Activated.”

Microsoft partnered with Structured during development to validate the platform at enterprise scale. The platform is now live across Microsoft’s global partner ecosystem, supporting localized campaign execution, workflow automation and performance visibility across regions.

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

Microsoft’s deployment proves the platform works at real enterprise scale. With over 500,000 partners worldwide and a massive library of campaigns, assets and solution content across markets, Microsoft’s partner ecosystem became the ultimate proving ground for Structured’s AI-native architecture. The combination of Microsoft’s powerful Azure OpenAI Service within its secure cloud environment, and Structured’s PMEP, has supercharged deep scalable content generation, automation and campaign orchestration globally.

How It Works

The platform combines generative AI for personalized content creation with agentic workflows that automate campaign execution, enforce compliance, orchestrate multi-channel programs and continuously optimize performance at scale. Core capabilities include:

  • Agentic and Generative AI Capabilities: Multi-agent architecture autonomously researches markets, generates campaigns, optimizes messaging, enforces compliance, and orchestrates execution.
  • Centralized Content and Campaign Library: A single system of record for approved assets, messaging and integrated campaign templates, enabling enterprises to govern brand, compliance and regional variations at scale.
  • Automated Localization and Brand Governance: Dynamic adaptation across 130+ languages and regions with built-in brand controls and compliance safeguards.
  • Pre-Built, Configurable Campaigns: Enterprises can deploy fully integrated, multi-channel campaigns that partners can co-brand, tailor to their audience and launch with minimal effort.
  • Full-Funnel Campaign Orchestration: Coordinated execution across email, social, webinars, and paid media, including workflow automation and performance tracking.
  • Performance Visibility: Real-time insight into partner engagement, campaign activity, and lead volume.

Unlike legacy systems retrofitted with AI features, Structured’s architecture was designed natively for channel complexity, including partner tiers, global brand governance, regional compliance and ecosystem-level reporting. Structured’s AI-native architecture is cloud-flexible and designed to support multiple enterprise AI environments, enabling customers to deploy the platform within their preferred cloud infrastructure with support for a broad spectrum of AI models.

In addition to Microsoft, Structured powers channel marketing for global enterprises including IBM, Google, Zoom, Dell, and ServiceNow, maintaining a 98% enterprise retention rate. The company was named a Leader in the Forrester Wave™: Partner Marketing Automation Platforms, Q2 2025, earning the highest scores across 11 criteria including AI innovation and customization.

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Consumers Demand More from AI-Powered Customer Service, Says Research

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BFJ Digital Outlines the ‘Human-First’ Framework for AI Integration in Modern Marketing Teams

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New Pega study suggests businesses using AI aren’t meeting customer expectations…yet

Consumers don’t yet trust artificial intelligence (AI) to give them the customer service experiences they demand, according to research conducted by Pegasystems Inc., The Enterprise Transformation Company™, and YouGov.

“Businesses must build back consumer trust by moving past simple chatbots and deploying predictable AI agents that consistently get work done on behalf of customers” Simon Thorpe, director, Pega.

The study polled more than 4,700 consumers from North America and the United Kingdom on consumer perceptions of artificial intelligence and how businesses use it. It found consumers are fed up with inaccurate, unpredictable AI-driven experiences, pointing the finger of blame not at the technology itself, but instead at the way businesses are using it with them.

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

Two-thirds (64%) of consumers reported they are either “not very confident” or “not at all confident” in the way businesses use GenAI when interacting with them, while more than half (53%) lacked confidence that organizations use GenAI responsibly.

This distrust in business use of AI is fueled by a number of factors:

  • AI needs to be more reliable: Almost half (46%) of respondents said they either “rarely” or “never” get successful customer service outcomes through AI-powered interactions, raising questions about how accurately businesses are implementing these solutions. A similar number (48%) don’t trust businesses using AI to completely handle their customer service interactions as a result.
  • AI can’t match the human touch: 77% of consumers say they “always” or “often” achieve better outcomes when dealing only with a human. Meanwhile, two-thirds (66%) prefer human-led support, suggesting businesses aren’t doing a good enough job of empowering AI to provide the right customer experiences. By comparison, just two percent want to interact exclusively with GenAI chatbots, indicating that businesses must radically rethink their approach to deploying AI for customer service if they are to build confidence and trust, and provide better outcomes.
  • Successful AI blends into the background: While nearly half (48%) say they never actively choose to use GenAI in everyday tasks, there’s also evidence to suggest that consumers are sanguine about its use when implemented effectively, and accept becoming more aware that it is something that is already becoming a part of their daily lives. Just 14% say they actively choose to use AI less than once a month, with just 9% saying they choose to use it every day. Despite this, one quarter (24%) thinks they probably use it every day without realizing it.

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

Quotes & Commentary:

“AI can be transformational for customer service – but it has to live up to customer expectations,” said Simon Thorpe, director, Pega. “There’s a simple reason why we’re seeing a lack of consumer trust in the use of AI. There are just too many first-hand examples of businesses deploying these tools in ways that lead to dead ends and frustration. Businesses must build back consumer trust by moving past simple chatbots and deploying predictable AI agents that consistently get work done on behalf of customers. If businesses can use AI to make customer service faster and easier, they can drive massive new efficiencies while retaining customer trust.”

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KNOREX XPO Platform Reduces Legal Acquisition Costs by 29% in Nationwide Consumer Litigation Campaign

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KNOREX XPO Platform Reduces Legal Acquisition Costs by 29% in Nationwide Consumer Litigation Campaign

AI Platform Cuts CPA to $354 from Historical $500 Benchmark by Optimizing for Verified Signed Retainers, Driving Budget Expansion

KNOREX Ltd. (“KNOREX” or the “Company”), a leading provider of AI-driven programmatic advertising solutions, announced partnering with a performance-driven legal marketing firm to conduct a nationwide campaign designed to connect high-intent individuals with law firms across the U.S. The primary objective was to generate a robust pipeline of qualified leads that convert into signed legal retainers, while maintaining strong cost efficiency and scalable performance.

Utilizing KNOREX’s unified AI-powered XPO platform resulted in reduced cost per acquisition (CPA) by 29% in a nationwide consumer litigation campaign, lowering CPA to $354 from the partner’s historical $500 blended benchmark in comparable cases.

Unlike traditional digital campaigns that optimize for clicks or form submissions, the initiative optimized exclusively for verified signed legal retainers—the ultimate revenue-generating event in litigation marketing. Following performance validation, the legal marketing partner expanded campaign budgets to scale the program nationally.

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

Delivering Measurable Efficiency in a High-CPA Vertical

High-stakes consumer litigation represents one of the most challenging segments in digital advertising. Audience pools are narrow, competition for qualified claimants is intense, and return on investment can only be confirmed after a lead is qualified and signs a formal legal retainer.

The partner’s historical blended CPA of $500 reflected the economic threshold required to sustain viable campaign performance. By reducing CPA to $354, KNOREX materially improved acquisition efficiency in a market where margins are tightly tied to case eligibility and retainer values.

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

AI Optimization Built Around Revenue Outcomes

KNOREX deployed its omni-channel, AI-powered XPO platform across search, social, and display channels, leveraging several core capabilities:

  • Retainer-Based Performance Measurement: Optimization tied strictly to verified signed retainers rather than proxy digital signals
  • Closed-Loop Feedback Engine: Daily retainer data fed back into the XPO platform to continuously refine targeting and bidding
  • Advanced Audience Segmentation: Behavioral targeting of highly specific claimant profiles and related influencers
  • Unified Cross-Channel Execution: Centralized management across multiple digital channels without increasing operational complexity

By anchoring optimization to confirmed legal outcomes, KNOREX aligned advertising spend directly with measurable business results rather than surface-level engagement metrics.

“This campaign demonstrates that AI-driven programmatic execution can optimize for real legal business outcomes in highly competitive acquisition environments,” said Justin Tan, Vice President of KNOREX. “By building a unified feedback loop around signed retainers, we established a scalable growth model for complex litigation marketing.”

Validation of Scalable AI-Driven Economics

The nationwide campaign was designed to validate performance in a sensitive, high-CPA acquisition environment. The resulting efficiency gains and subsequent budget expansion reinforce the scalability of the XPO platform in regulated, performance-sensitive industries where traditional digital advertising approaches often struggle to deliver predictable economics.

As advertisers increasingly prioritize measurable financial outcomes over digital engagement metrics, KNOREX continues to demonstrate its ability to improve unit economics through unified AI-powered optimization.

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OutSystems Launches Elevate Partner Program to Redefine Ecosystem Excellence for the Agentic Era

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OutSystems Launches Elevate Partner Program to Redefine Ecosystem Excellence for the Agentic Era

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New Value-Based Framework Incentivizes Agentic AI Innovation and Customer Success

OutSystems, a leading AI development platform, announced the launch of Elevate, its redesigned global partner program. Built to accelerate AI development, Elevate marks a strategic shift to a global performance-driven “Earned Level” model designed to reward partners for technical expertise, customer impact, and market growth.

As the industry pivots toward autonomous AI agents and complex cloud architectures, the Elevate program provides a transparent roadmap for partners to scale their business with OutSystems. The program moves away from “one-size-fits-all” metrics, instead utilizing a point-based system across four critical pillars: Financial Contribution, Knowledge, Customer Satisfaction (C-Sat), and Program Track.

“Our partners deserve a program that rewards all the ways they engage with OutSystems to drive value & ROI for our joint customers,” said Ben Yerushalmi, SVP of Partner and Alliances at OutSystems. “Our partners are the architects of the agentic future, and they need a program that moves at the speed of their innovation. Elevate rewards our partners for technical excellence, while helping them accelerate their global scale.”

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

Key Enhancements of the Elevate program include:

Agentic AI: New point system weighting for agentic AI credentials, ensuring partners are equipped to lead the next wave of AI-driven application development.

Incentivized Outcomes: A shift to ensure rewards are tied directly to high-quality delivery and customer success.

Global Consistency: Transitioning to a global framework with standardized discounts based on deal size and source, creating a level playing field for all partners.

“AI has fundamentally shaped what enterprises expect from digital transformation and how fast they expect it. OutSystems Elevate program gives Xebia the global scalability and partner alignment to deliver on that promise, wherever our clients are in the world,” said Preetpal Singh, Global Head of Product, Engineering, and Partners at Xebia.

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

For Camilla Ramberg, CEO at Coolprofs, an OutSystems partner for more than 15 years, “the OutSystems Partner Program is crucial to our business. The new program is great in the way that it allows committed partners to thrive. The more we invest in our OutSystems knowledge, the community and our customers, the better we perform in the program. The Partner is in control.”

The launch of Elevate comes on the heels of Ben Yerushalmi’s recent recognition as a 2026 CRN Channel Chief. This prestigious honor highlights Yerushalmi’s commitment to building a partner-first culture and his visionary approach to the ecosystem.

The Elevate Partner Program is effective immediately for all new and existing OutSystems partners. Partners can access their new “Earned Level” dashboard via the OutSystems Partner Portal.

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SugarCRM Named a Leader in the Nucleus Research Sales Force Automation Technology Value Matrix 2026

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Relynta Launches Inbox-First AI CRM for Small Businesses

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SugarCRM, provider of the award-winning intelligence-driven sales automation platform, announced that it has been named a Leader in the Nucleus Research Sales Force Automation (SFA) Technology Value Matrix 2026.

The full report from Nucleus is available here.

This is the sixth consecutive year that Sugar has been recognized as a Leader in Nucleus Research’s technology value matrix assessments; in the 2026, 2025, and 2024 standalone SFA reports, as well as in the 2023, 2022, and 2021 CRM Technology Value Matrix reports.

The latest recognition underscores the strengths of Sugar Sell, Sugar’s flagship SFA solution, and the company’s commitment to deliver measurable value and actionable intelligence for sales leaders.

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

Sugar Sell prioritizes guided action over basic pipeline management. Embedded AI and enhanced workflow capabilities help sellers understand what is happening within accounts and identify the actions most likely to retain business and advance deals.

Key strengths recognized include Sugar’s embedded AI, which operates within real-world seller workflows rather than simply augmenting dashboards. By delivering account insights, next-best-action guidance, meeting preparation support and opportunity recommendations tied directly to execution, information is presented contextually to help sellers move deals forward with greater speed and confidence.

In addition, Nucleus analysts underscore a key Sugar differentiator – SugarCRM sales-i, which analyzes ERP order data to uncover account insights, buying patterns, and whitespace opportunities. These insights are surfaced directly within the CRM, enabling sellers to identify cross-sell, upsell, and retention opportunities without relying on separate BI tools or heavy IT involvement.

“We’re honored to be recognized as a Leader in the Nucleus Research Sales Force Automation Technology Value Matrix once again,” said David Roberts, SugarCRM CEO. “We’ve built a very different type of SFA product – a system of proactive sales guidance that interprets signals from across the business and guides sellers toward the highest-value actions. We call this our ‘precision selling platform’.”

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

“Sugar Sell is positioned for organizations that require context-driven selling, ERP-informed insights, and AI embedded directly into sales workflows, particularly where account expansion, retention, and complex selling motions are central to revenue growth,” said Cameron Marsh, Senior Analyst, Nucleus Research. “As organizations enter 2026 seeking greater revenue predictability and less operational friction, SugarCRM’s Precision Selling vision positions the platform as a focused alternative to traditional, fragmented CRM environments. By unifying CRM and ERP data, expanding its intelligence layer, and embedding AI-driven guidance directly into seller workflows, Sugar enables teams to make faster, more informed decisions while reducing the administrative effort that often slows execution.”

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Qualified Accelerates Customer Growth as Leading Enterprises Move Toward Full-Funnel Agentic Marketing

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True North Social Expands Instagram Marketing Services to Help Brands Navigate Algorithm Changes and Content Evolution

Qualified announced significant customer momentum as organizations accelerate their shift to full-funnel agentic marketing with Piper the #1 AI SDR Agent. As buyers expect instant, always-on engagement, pressure is mounting to respond faster and never miss a meaningful conversation. To meet this shift, companies are moving beyond traditional marketing automation and adopting agentic marketing platforms that can autonomously manage full-funnel AI automation and drive pipeline and revenue outcomes.

“Qualified is setting the standard for AI SDR agents in the market,” says Maura Rivera, CMO of Qualified. “Customers aren’t just experimenting with AI; they’re rebuilding their go-to-market motions around agentic marketing…”

Qualified saw a 185% increase in new customer acquisitions since last quarter, driven by demand for full-funnel AI automation. New customers include Dun & Bradstreet, Epson, and Sprout Social. Qualified also saw strong expansion from existing customers such as Blackbaud and LogicMonitor, underscoring broad demand for B2B pipeline automation and modern pipeline AI solutions.

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

Agentic marketing is transforming the inbound funnel

The traditional marketing funnel is strained: too many leads, too little follow-up, and too many missed opportunities. As buyer expectations rise and resources tighten, teams are turning to agentic marketing to keep pace. With Piper, organizations can rely on one intelligent agent to work every stage of the funnel. From website visitor to email nurture to conversion, Piper autonomously engages, qualifies, and advances buyers, replacing legacy Marketing Automation Platforms anchored on manual rules and prescriptive workflows.

“After adopting Piper the AI SDR Agent, we’ve increased meetings booked by 68% and conversations by 118%,” said Troy O’Bryan, Senior Vice President, Global Growth Marketing, Blackbaud. “Piper allows us to work around the clock engaging potential buyers and sets up our team to have more meetings and impactful human-to-human conversations.”

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Consistent innovation is driving this shift

Innovation is fueling the acceleration. Qualified’s recent product enhancements are designed for scale, sophistication and commercial impact. With PiperX, the company introduced multi-stage autonomy, multi-agent infrastructure and multi-modal interactions. This enables buyers to meet Piper via text, voice or video, and allows Piper to decide the next best action at every turn. These breakthroughs relieve marketers from juggling disjointed tools and manual workflows, and instead give them a unified platform that drives pipeline at speed. And this is just the beginning: Qualified is committed to delivering the next generation of agentic capabilities so organizations can expand outreach, reduce friction and convert more buyers faster.

Qualified is at the forefront of the agentic marketing movement

As more companies adopt AI SDR agents to run their funnel end-to-end, Piper has become the foundational platform of this new era. “Qualified is setting the standard for AI SDR agents in the market,” says Maura Rivera, CMO of Qualified. “Customers aren’t just experimenting with AI; they’re rebuilding their go-to-market motions around agentic marketing, and Piper is at the center of that shift.”

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ecer.com: Building a New Ecosystem for Cross-Border B2B Trade

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MTS Staff Writer
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ecer.com: Building a New Ecosystem for Cross-Border B2B Trade

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In the past, international trade was often bogged down by cumbersome processes: time-consuming email exchanges, delays caused by time zones, and factory inspections that required days or even weeks of planning. Today, with the full penetration of the mobile internet, the rules of cross-border trade are being rewritten.
Data shows that an increasing number of international buyers are using their mobile phones to search for suppliers, inquiries, and even make purchasing order. In line with this trend, ecer.com, a leading global mobile B2B marketplace, is accelerating the deep integration of mobile technology with trade scenarios, creating a new “on-demand response, real-time collaboration” ecosystem for cross-border trade.

Efficiency Upgrade: Accelerating Business Opportunities
In the mobile internet era, foreign trade is no longer confined by office hours or fixed hardware. “The mobile phone as a workstation” is becoming the norm. With real-time alerts, video calls, and instant messaging features, buyers and suppliers can connect seamlessly. The journey from initial inquiry to preliminary agreement can now take only a few hours. This “always-on” communication style not only significantly boosts response times but also allows customers to gain a more intuitive assessment of a supplier’s professionalism and reliability.

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

Trust Upgrade: Mobile Factory Inspections Redefining Decision-Making
Trust remains a core challenge in cross-border B2B transactions. Traditionally, buyers had to arrange physical site visits, which were costly, time-consuming, and complex.
To address this pain point, ecer.com has launched a mobile panoramic factory inspection solution. Buyers can view production environments in real-time via their phones, observe factory conditions from 360°, and even use VR technology to examine product details closely. What once required days of coordination can now be completed efficiently on a mobile device, drastically shortening the decision-making cycle.
For example, SINOTRUK INTERNATIONAL CO., LTD. recently encountered a German buyer who was interested in their products but required a factory inspection before placing an initial order. Due to tight schedules and high travel costs, the buyer initially considered delaying the partnership. The supplier’s sales representative invited the buyer to conduct a panoramic inspection via the ECER platform. Through real-time video, the buyer toured the production lines, quality control processes, and warehouse facilities, using VR to inspect material quality and craftsmanship. The entire process took less than an hour, and the buyer immediately moved forward with the order.
Technology has made information more transparent, enabling cross-border cooperation to be built on a more credible and verifiable foundation.

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

Ecosystem Upgrade: Building a Complete Mobile Trade Closed-Loop
“Going mobile” is not just a feature upgrade, but a total reconstruction of the entire workflow. From lead generation and communication to factory verification, order processing and logistics tracking, ECER has created a comprehensive business closed-loop on mobile.
By integrating AI, VR, Video Interaction and live-streaming capabilities, the platform has evolved from a simple information display tool into a digital hub that supports the entire trade lifecycle. Enterprises can now collaborate across multiple stages on a single platform, reducing the complexity of cross-border operations and increasing supply chain responsiveness.

The New Logic of Competition in the “Mobile-First” Era
As “mobile-first” becomes the new normal for global procurement, trade competition has expanded from fixed offices to anywhere with network coverage. Whether an enterprise possesses real-time mobile response capabilities is now a critical indicator of its competitiveness.
Through the deep integration of mobile capabilities and intelligent technologies, ECER is helping enterprises achieve instant communication, rapid decision-making, and efficient collaboration. In an ever-evolving global trade landscape, the ability to stay “always online” may well be the key chip for winning the future.

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

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

Analytic Partners - Director of Marketing Science Analytics & Commercial Intelligence (Customer Engagement Team)

New research shows Commercial Analytics Emerging as Primary Source of Truth Among $1B+ Advertisers

Analytic Partners, the leader in Commercial Analytics, released Five Forces Shaping Marketing Budget Decisions in 2026. Grounded in a verified sample of 455 senior decision-makers at enterprise-level ($1B+) advertisers, the report sets the standard for enterprise-wide decisioning by revealing how top brands are moving beyond “more data” toward faster, context-rich commercial growth.

This preview report offers an exclusive look at key trends ahead of the full 2026 State of Commercial Decisioning Survey, launching later this year. The early findings provide credible, decision-ready evidence that enables marketing leaders to influence high-impact commercial outcomes across the enterprise.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

“For more than 25 years, we’ve partnered with the world’s leading advertisers and have seen a consistent pattern: brands that embed analytics into how decisions actually get made see five times more growth, act with greater confidence, and adapt more effectively to change,” said Nancy Smith, President and CEO of Analytic Partners. “These early findings from our 2026 State of Commercial Decisioning Survey reinforce what experience has long shown us – when leaders have a clear, context-rich source of truth, they can stop defending their budgets and start evolving their strategies to drive enterprise-wide value and long-term growth.”

These findings independently validate what Analytic Partners has observed for decades through ROI Genome®, the company’s proprietary intelligence layer built on insights from 1,000+ brands across 50+ countries and 100s of billions in spend. Unlock Growth with Analytic Partners ROI Genome® Insights, launched earlier this year, is a comprehensive guide for modern marketers building and evolving successful measurement programs.

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

5 Forces Shaping Marketing Budget Decisions in 2026 Key Highlights:

  • Marketing Mix Modeling / Commercial Analytics emerge as the “source of truth”: Econometric frameworks are now the foundation for high-stakes budget allocation, pricing, and promotion decisions.
  • Data remains a key limiter: Despite advances, data fragmentation and privacy constraints hinder marketing investment agility. The solution isn’t just more data – it’s smarter, context-rich decisioning.
  • External factors are critical: Leading advertisers cite the need for analytics that reflect real-world market conditions, not just internal metrics. Context is king in 2026.

“In an increasingly noisy measurement landscape, senior decision‑makers continue to return to a trusted anchor: econometric approaches like Commercial Analytics are a ‘source of truth’ for major budget decisions,” said Jason McNellis, Vice President, Commercial Analytics Ambassador at Analytic Partners. “This is not a casual pulse check. It’s a rigorous view into how senior leaders make high‑stakes budget decisions, based on 455 executives and a verified sample designed to protect privacy while ensuring respondent authenticity.”

The full 2026 State of Commercial Decisioning Survey, launching later this year, will deliver a comprehensive, data-driven view into how leading organizations are modernizing their decision frameworks and maximizing marketing ROI in a rapidly changing environment.

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Adswerve Appoints Tom Zawacki as Chief Executive Officer

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Adswerve Appoints Tom Zawacki as Chief Executive Officer

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Leadership marks Adswerve’s next phase of growth at the intersection of AdTech and MarTech

Adswerve, a leading data, media, and technology consultancy operating at the intersection of AdTech and MarTech, announced the appointment of Tom Zawacki as Chief Executive Officer. His appointment marks the company’s next phase of growth as brands and agencies navigate accelerating data complexity, AI-driven innovation, and rising expectations for measurable marketing performance.

Zawacki brings more than three decades of experience leading growth and transformation across data, AI, and marketing technology organizations. Most recently, he served as Chief Growth Officer at Acxiom and previously as President of Enterprise Solutions at Data Axle. Throughout his career, Zawacki has helped clients translate their business objectives into sophisticated data and technology solutions that drive measurable results.

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“Adswerve earned deep trust from our clients as we’ve stood firmly at the intersection of technology and performance since our inception,” said Clint Tasset, co-founder of Adswerve. “As the lines between AdTech and MarTech continue to blur, Tom’s leadership ensures we build on that foundation while evolving into an even stronger strategic operating partner. His ability to connect innovation, strategy, and execution makes him the right leader for our incredible team.”

As CEO, Zawacki will advance Adswerve’s position as a strategic partner for marketers and agencies seeking to harness disruptive innovation with discipline and clarity. His focus will center on helping clients compete in a predictive marketing environment, where data, artificial intelligence, and human expertise must work in concert to deliver sustained business impact.

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“I am so honored and thankful,” Zawacki said. “It is an amazing time in our industry as brands and agencies are entering a new era of marketing. Over the years, we’ve worked together to address business disruption caused by the internet, social, mobile, and other innovations. Once again we’re faced with a generational business transformation moment, as we strive to meet the new requirements and opportunities presented by the emergence of AI. I can’t think of a more talented and passionate community to do that with than the team at Adswerve.”

Adswerve’s entrepreneurial culture of collaboration and continuous learning has earned recognition as a Built In 2026 Best Places to Work award winner. The company remains committed to investing in its people as the core driver of innovation, client success and long-term growth.

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TapClicks Introduces SmartStory: Turning Campaign Data into Stakeholder-Ready Presentations in Minutes

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MTS Staff Writer
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Matrix Unveils Sidevine: AI Data Fabric & Intelligence Layer Designed to Eliminate Manual Entry Tax & Unlock Raw Data

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TapClicks, the leader in Smart Marketing solutions, announced the launch of SmartStory, a new AI-powered solution that enables small agencies, marketing teams, and growing businesses to transform performance data into clear, stakeholder-ready presentations in minutes.

Built on the TapClicks AI-first infrastructure, SmartStory is powered by an integrated enterprise-grade data management and connectivity foundation. It centralizes and harmonizes live campaign data across thousands of MarTech and AdTech sources, seamlessly integrating data, connectors, automation, and insights into a single, beautifully unified experience. The result is ease-of-use: trusted data flows directly into polished, insight-driven presentations with no manual assembly.

For many growing businesses and marketing teams, reporting still means wrestling with spreadsheets, formatting slides, and writing summaries by hand before sharing results with stakeholders. SmartStory eliminates that burden by automatically producing beautiful PowerPoint and PDF presentations, complete with integrated visuals and AI-generated insights, directly from live marketing data. In beta tests, users reported reducing slide creation time from hours, or even days, down to minutes.

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

At SmartStory’s core is SmartSlides, the TapClicks AI presentation technology that generates professional, visually compelling slides directly from campaign performance data. SmartStory equips businesses and marketing teams with insights they need to drive strategic conversations, strengthen stakeholder relationships, and improve retention. It also serves as a powerful sales enablement solution, helping teams clearly communicate performance, opportunities, and next steps.

“SmartStory reflects our leadership in AI-enabled marketing technology,” said Babak Hedayati, CEO of TapClicks. “We built a powerful data management and connectivity foundation in TapClicks and added AI agents, operators, insights, and storytelling. SmartStory brings all that together in a single solution that turns robust, reliable data into actionable narratives.”

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

Designed for lean businesses that need consistent, high-quality reporting without adding headcount, SmartStory supports omnichannel reporting across paid media, search, social, email, and more. Built-in branding and customization tools allow teams to scale reporting across dozens or even hundreds of stakeholders while maintaining a professional, consistent appearance.

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Mobisoft Infotech Introduces AI-Augmented Engagement Model to Deliver Faster Outcomes with Leaner Teams

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MTS Staff Writer
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GPT Proto Expands AI Model Catalogue with Support for Google's Gemini 3.1 Pro Preview

Custom Software Development Company | AI-Driven Solutions

New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and cost efficiency.

Mobisoft Infotech announced the launch of its AI-Augmented Engagement Model. It’s a modern delivery approach built to help organizations achieve faster product outcomes with smaller yet highly effective teams. The model combines human engineering expertise and AI capabilities across the software lifecycle. It enables companies to build, improve, and maintain digital products with greater efficiency and clearer visibility into performance.

AI is changing how software delivery is measured. Clients care less about team size and more about speed and reliability. This model helps deliver both.”

— Nitin Lahoti, Founder and Director at Mobisoft Infotech

Enterprises and startups face constant pressure to release features quickly while maintaining control over costs. Many still respond by adding more people and extending timelines. This often increases complexity and overhead. Mobisoft’s model takes a more practical approach. It focuses on results, consistency, and quality instead of team size.

The AI-Augmented Engagement Model brings AI into everyday engineering work. It supports software development, testing, DevOps, analytics, and data engineering as part of regular workflows. Teams do not treat AI as a side initiative. They use it daily to handle repetitive tasks and routine checks. This frees engineers to focus on complex problem-solving and better product decisions.

At the core of the AI-Augmented Engagement Model is a simple idea. Increase the effectiveness of each engineer instead of increasing the number of engineers. Mobisoft uses AI tools and automation across multiple stages of delivery so that a focused team can accomplish what previously required a much larger group.

This approach brings clear and practical benefits:
– Small teams that still deliver strong results
– Less time spent on repetitive manual work
– Faster iterations without reducing quality
– More predictable delivery timelines

Traditional scaling often meant adding more people, which increased coordination overhead, created communication gaps, and led to inconsistent code quality. Mobisoft uses AI in daily workflows to reduce these issues. AI supports engineers while they write, review, test, and maintain code. Engineers can then focus on producing strong, reliable work.

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Clients benefit from better cost efficiency. They invest in expertise and results instead of just increasing team size. Projects stay easier to manage. Teams make decisions with better focus and clarity.

AI Across the Software Lifecycle:

Mobisoft’s AI-Augmented Engagement Model spans the full software lifecycle. AI does not replace engineers. Instead, it supports them at key points where automation and intelligent assistance can save time and reduce errors.

1. AI-Assisted Development

AI development tools act as assistants to developers. Engineers can write and review code. They can refactor efficiently while saving time. Furthermore, the tools suggest code snippets and identify issues early on. This ensures consistent coding standards. Engineers can generate initial implementations quickly and then refine them based on product requirements and architectural needs. Code reviews also benefit from AI assistance. Automated checks highlight potential bugs, security risks, and performance concerns before they reach production. This reduces rework and improves overall code quality. Teams can move faster without lowering standards.

2. AI-Driven Testing and Quality Assurance

Testing often becomes a bottleneck in complex projects. Manual test case creation and regression testing take significant effort. Mobisoft uses AI to automate large parts of this process. The AI tool can generate test cases automatically based on application behavior and past defect patterns. It can identify areas in the code that may break and prioritize them during regression testing. Anomaly detection helps teams catch unusual behavior before it affects users. This leads to broader test coverage and more reliable releases. Teams spend less time on repetitive test execution and more time on exploratory testing and critical edge cases.

3. Intelligent DevOps and Release Automation

Frequent and stable releases are essential for modern products. Mobisoft integrates AI into DevOps practices to support continuous integration and delivery pipelines. AI can analyze the data on build and deployment to identify patterns that lead to failures or delays. It can recommend pipeline optimizations and highlight environment issues early. Monitoring tools supported by AI detect unusual system behavior and alert teams before small issues become major incidents. As a result, clients benefit from improved release frequency and better operational stability. Engineering teams gain confidence that their changes will move through the pipeline smoothly.

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4. Analytics and Engineering Insights

The AI-Augmented Engagement Model also includes continuous analysis of engineering performance. Mobisoft uses data from development tools, testing systems, and production environments to generate actionable insights. Teams can track delivery velocity, defect trends, and system performance over time. This data helps them identify bottlenecks, recurring issues, and areas that need attention. Leaders can make informed decisions about priorities, scope, and resource allocation. Instead of relying on assumptions or isolated reports, stakeholders get a clear picture of how engineering efforts translate into product progress.

Transparent Productivity and Quality Metrics:

Transparency is a key pillar of the new model. Many delivery partnerships still rely on status meetings and subjective progress updates. Mobisoft takes a more data-oriented approach.

Clients receive measurable insights into delivery performance. These may include:
– Delivery velocity and cycle time
– Defect rates and quality trends
– Test coverage and release stability
– Operational performance indicators

This information helps business and technology leaders understand not only what is being delivered, but also how efficiently and reliably work is progressing. It becomes easier to align engineering execution with business goals.

“AI gives us the ability to measure productivity and quality with much greater precision,” added Nitin Lahoti, Founder and Director at Mobisoft Infotech. “That level of visibility builds trust. It also helps both sides make better decisions throughout the engagement.”

Practical Impact for Different Types of Organizations:

The AI-Augmented Engagement Model is designed to support a wide range of organizations, each with its own challenges and constraints.

1. Startups Seeking Capital Efficiency

Startups usually work with tight budgets and strict timelines. They need to launch solid products fast while making their funds last. Hiring large engineering teams is not always realistic. With Mobisoft’s model, startups work with a small, experienced team supported by AI tools. This helps them build key features faster and improve the product based on real user feedback. Instead of increasing headcount too soon, they can focus more on product strategy and user experience.

2. Mid Market Companies Under Budget Pressure

Mid-sized firms frequently balance growth initiatives with strict budget controls. They may have existing systems that need enhancement, integration, or modernization. The AI-Augmented Engagement Model helps these organizations improve delivery efficiency without large increases in spending. AI-supported testing and DevOps reduce maintenance overhead. Data-driven insights help prioritize the most valuable improvements.

3. Enterprises Modernizing Legacy Systems

Enterprises often deal with complex legacy platforms that require careful updates. These projects demand reliability, compliance, and minimal disruption to ongoing operations. Mobisoft combines experienced engineers with AI assistance to manage this complexity. Automated testing reduces release risk. Intelligent monitoring supports system stability. Clear metrics help enterprise stakeholders track progress against modernization goals.

Security, Governance, and Responsible AI Use:

Mobisoft recognizes that AI adoption must go hand in hand with strong governance. The AI-Augmented Engagement Model includes clear guidelines on data usage, access controls, and tool selection. AI tools are integrated in ways that respect client security policies and compliance requirements. Sensitive data remains protected. Human engineers maintain oversight over all critical decisions. AI acts as an assistant, not an autonomous authority.

This balanced approach ensures that clients benefit from improved productivity while maintaining control and accountability.

A Measured Evolution of Delivery Practices:

Mobisoft does not present the AI-Augmented Engagement Model as a sudden break from established engineering practices. Instead, it builds on proven delivery foundations and enhances them with modern capabilities.

Agile principles, code quality standards, and DevOps practices remain central. AI simply helps teams execute these practices more efficiently. It reduces friction in daily work and provides better visibility into results.

Over time, this leads to a more mature and resilient engineering process. Teams learn from data and refine workflows. They spend more time on meaningful improvements and less time on routine tasks.

Client Collaboration and Custom Engagements:

Every organization works differently. Mobisoft adjusts each engagement based on product complexity, compliance needs, and delivery goals. Some clients want faster feature development with AI support. Others care more about strong testing and stable operations. The model supports different priorities while keeping delivery clear and efficient.

Mobisoft teams work closely with client stakeholders to define success metrics from the start. They review progress regularly using real data, which helps keep the project aligned with changing business priorities.

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ITVibes Shows How AI Turns Websites Into Lead Engines

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ProfileTree Web Design and Digital Marketing Helps Belfast SMEs Close the Digital Gap with Web Design, SEO, and AI Training

ITVibes: Full-Service Digital Marketing Agency in Houston

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

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Glow.B Unveils AEO And GEO Solutions for the Generative AI Search Era

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

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BrightEdge Launches AI Hyper Cube, Pulling Back the Curtain on How Brands Show Up in AI Search

TrackIt - Cloud Consulting & S/W Development

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

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

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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

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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

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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

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

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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.

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

“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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