Fivetran Selected by Vistaprint to Power Data Activation and Personalized Customer Experiences

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January 23, 2026

Rankpage Introduces Expanded AI-Driven SEO Offerings to Support Businesses of All Sizes Across Malaysia

Research shows enterprises increasing investment while scaling cautiously until reliability can be proven in production

Dynatrace , the leading AI-powered observability platform, released The Pulse of Agentic AI 2026, an inaugural global study focused on how observability and reliability determine the successful operationalization of agentic AI. The survey of 919 senior global leaders responsible for agentic AI implementation reveals that enterprises are not stalling because they doubt AI, but because they cannot yet govern, validate, or safely scale autonomous systems.

A structural shift: reliability as the gating factor

The research found that approximately ~50% of projects are in Proof-of-Concept (POC) or pilot stage. Adoption is still early but growing rapidly with 26% of organizations having 11 or more projects. As organizations move beyond experimentation and into scaled deployment, they are increasingly seeking platforms that are reliable, trustworthy, and proven.

This shift is reflected in both ambition and execution, with 74% expecting budgets to rise again next year. These findings point to a structural inflection point where reliability, resilience, governance, and real-time insight define enterprise readiness for agentic AI.

Key findings from the report:

Almost half (48%) of the senior global leaders surveyed anticipate budget increases of at least $2M, suggesting investments are still prudent.
AI agents are most commonly deployed within IT operations and DevOps (72%), followed by software engineering (56%) and customer support (51%).
Of those surveyed, business leaders say improving decision-making with real-time insights is top priority (51%) when deploying agentic AI, followed closely by improving system performance and reliability (50%) and improving internal efficiency to reduce operational costs (50%).
The greatest ROI expected for agentic AI projects is in ITOps/system monitoring (44%), cybersecurity (27%) and data processing & reporting (25%).
The top two main barriers to agentic AI production at this time are security, privacy or compliance concerns (52%) and technical challenges to managing and monitoring agents at scale (51%), followed by shortage of skilled staff or training (44%).

Trust and human oversight

Organizations signal that human guidance remains a purposeful part of agentic AI strategy, even as they build toward greater autonomy. The report shows leaders expect a 50/50 human–AI collaboration for IT and routine customer-support applications and a 60/40 human–AI collaboration for business applications, signaling that human judgment guides the system by setting goals, defining boundaries, and ensuring accountability.

Additional findings include:

While over half (64%) of organizations deploy a mix of autonomous and human-supervised agents, 69% of agentic AI–powered decisions are still verified by humans, and 87% of organizations are actively building or deploying agents that require human supervision.
Only 13% of organizations use fully autonomous agents, and just 23% rely exclusively on human‑supervised agents.
The top validation methods include data quality checks (50%), human review of agent outputs (47%), and monitoring for drift or anomalies (41%).
44% still use manual methods to review communication flows among AI agents, highlighting the need for more automated, governed oversight mechanisms. Autonomy.

“Organizations are not slowing adoption because they question the value of AI, but because scaling autonomous systems safely requires confidence that those systems will behave reliably and as intended in real-world conditions,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “With most enterprises now spending millions of dollars annually and planning further budget increases, agentic AI is becoming a core part of digital operations. At the same time, the data shows a clear shift underway. While human oversight remains essential , organizations are increasingly preparing for more autonomous, AI-driven decision-making. The focus is now on building the trust and operational reliability needed to scale agentic AI responsibly.”

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Observability enables trust and scale for Agentic AI

As organizations scale agentic AI beyond pilot projects, observability is the crucial intelligence layer that helps to build trust by providing visibility across every stage of the agentic AI lifecycle, from development and implementation through to operationalization. The report found that observability is already used across the entire lifecycle, with the highest adoption during implementation (69%), followed by operationalization (57%) and development (54%), underscoring its role as a foundational capability as agentic AI moves into production.

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Additionally, the report found:

Nearly 70% of organizations surveyed already use observability during agentic AI implementation to gain real-time visibility into agent behavior, system performance, and decision-making in production environments.
50% use agentic AI for both internal and external use cases, 33% for internal purposes only, and 18% for external purposes only.
50% have agentic AI projects in production for limited use cases, 44% have projects in broad adoption across select departments, and 23% have projects in mature, enterprise-wide integration.

“Observability is a vital component of a successful agentic AI strategy,” continued Reitbauer. “The Dynatrace AI Center of Excellence (AI CoE) works with many of our largest customers, and as organizations push toward greater autonomy, they need real-time visibility into how AI agents behave, interact, and make decisions. Observability not only helps teams understand performance and outcomes, but it provides the transparency and confidence required to scale agentic AI responsibly and with appropriate oversight.”

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CrafterCMS Announces New Cursor AI Skill That Accelerates Digital Experience Development

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MTS Staff Writer

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January 22, 2026

CrafterCMS Announces New Cursor AI Skill That Accelerates Digital Experience Development

New open-source AI skill converts HTML design templates quickly into a fully-managed website within minutes.

CrafterCMS, the enterprise-grade, Java-based headless CMS, announced the release of a new Cursor AI skill designed to dramatically accelerate CMS-managed digital experience development.

The new skill, available now via the CrafterCMS Marketplace and as an open source project on Github, enables developers to convert existing HTML website design templates into fully managed CrafterCMS projects in minutes using AI-assisted workflows inside Cursor.

Instead of spending days or weeks converting static templates into CMS-managed experiences, teams can now do it in minutes…”

— Mike Vertal, CEO of CrafterCMS

From Static HTML to Fully Managed Experiences Automatically

Modern digital teams often start with static HTML templates provided by design agencies, UI kits, or third-party marketplaces. Traditionally, transforming those templates into CMS-managed experiences requires significant manual effort that includes rewriting markup, wiring templates to content models, and integrating CMS APIs.

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The new CrafterCMS Cursor AI skill automates this process.

By leveraging AI directly inside the CrafterCMS environment, the skill analyzes raw HTML templates and “crafterizes” them: generating the structure, configuration, and integration needed to run as a fully managed CrafterCMS site backed by Git-based workflows.

“This release demonstrates how AI can dramatically improve developer productivity in real-world CMS projects,” said Mike Vertal, CEO of CrafterCMS. “Instead of spending days or weeks converting static templates into CMS-managed experiences, teams can now do it in minutes, directly within the user-friendly CrafterCMS authoring environment.”

Key Capabilities and Benefits

The CrafterCMS Cursor AI skill enables development teams to:

– Instantly Convert HTML Templates into CrafterCMS Projects: Transform static markup into CMS-managed site projects with content models, templates, and structure generated automatically.

– Accelerate Digital Experience Development: Reduce repetitive setup work and focus development effort on business logic, integrations, and experience design.

– Leverage AI Inside the Developer Workflow: Leverage Cursor with AI-assisted transformations instead of relying on external scripts or manual refactoring.

– Align with Modern DevContentOps Practices: Built on CrafterCMS’s Git-based content repository, enabling version control, CI/CD, and collaborative workflows from day one.

– Remain Fully Open and Extensible: The skill is available under the MIT open source license, allowing teams to inspect, extend, and customize the workflow to match their architecture and standards.

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Built for Real-World CMS and DXP Teams

Content authors and editors benefit as well, allowing them to independently and rapidly create, edit, and publish content for their website and all other digital experiences, without waiting on developers.

This release is especially valuable for content teams that are building, managing and optimizing:

– Marketing and enterprise websites

– Customer portals and employee intranets

– Customer-facing applications and digital experiences

– Multi-site and multi-channel CMS deployments

By bridging AI-powered development tools with a production-grade, Java headless CMS, the Cursor AI skill helps teams move faster without sacrificing governance, scalability, or maintainability.

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CloudOffix Partners with Bluefox SAS to Drive Smart Transformation for Businesses in Mauritius

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MTS Staff Writer

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January 22, 2026

CloudOffix Partners with Bluefox SAS to Drive Smart Transformation for Businesses in Mauritius

CloudOffix and Bluefox SAS team up to reduce complexity, unify data, and make AI and digital transformation practical for real business environments.

CloudOffix, the AI-native unified front-office platform designed to simplify execution across modern business operations, announced a strategic partnership with Bluefox SAS to help organizations across Mauritius accelerate smart, sustainable transformation that strengthens business performance and enables reliable, practical use of AI.

CloudOffix is the platform of the future — a native AI platform designed to think, scale, and evolve with the client’s business.”
— Farha Jhumka, CEO of Bluefox SAS

As technology choices multiply and operational complexity grows, many organizations struggle to turn transformation plans into real outcomes. This partnership brings together CloudOffix’s unified platform approach with Bluefox SAS’s transformation practice to help companies move from fragmented tools and scattered data to a coherent operating model that teams can actually adopt, use, and scale. Together, CloudOffix and Bluefox SAS will support organizations in clarifying priorities, accelerating change with confidence, and building capability so transformation becomes a durable advantage rather than a constant project.

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Bluefox SAS was founded on a bold belief: transformation succeeds when organizations start from within. With the philosophy, “Every transformation begins within,” Bluefox SAS helps leaders and teams navigate complexity, build clarity, and co-create change that lasts. Bluefox SAS is guided by the values of Excellence, Integrity, and Respect, and works with organizations to craft tailored strategies that put real needs, values, and potential at the centre of every solution. The company’s vision is to be the trusted partner in driving transformative change, enabling organizations to unlock their full potential through solutions that are practical, measurable, and sustainable.

With CloudOffix, Bluefox SAS can now offer its customers in Mauritius a full transformation package on a single unified platform, covering the core front-office and operational domains organizations struggle to connect. This means Bluefox SAS can deliver end-to-end solutions across HR digitalisation, project and task management, CRM and sales execution, marketing operations, customer portals, and helpdesk and service management—without forcing clients to assemble separate tools or manage complex integration projects.

CloudOffix complements Bluefox SAS’ approach by providing the execution layer needed to make transformation real in day-to-day operations. While many organizations have made strong progress in the back office through ERP systems, the front office often remains split across disconnected apps for sales, service, marketing, projects, HR, and portals. This leads to duplicated work, inconsistent experiences, unclear ownership, and reporting that never quite matches reality. Most importantly, it weakens AI initiatives, because AI cannot produce reliable outcomes when operational data is scattered across separate tools and inconsistent workflows.

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Gokhan Erdoğdu, CEO of CloudOffix, said:
“ERP systems have done an excellent job standardizing the back office. But today, organizations are struggling around the ERP, in the front office, where work actually happens across sales, customer service, projects, HR, and marketing. These functions are often spread across different tools, which means data is scattered and workflows are disconnected. And when data is fragmented, AI cannot perform in a reliable way. CloudOffix is a great complement to ERP because we unify everything around it with one data model, one workflow engine, and one AI layer. That turns front-office execution into a connected system, so people can work faster, decisions become clearer, and AI becomes usable across real processes.”

Farha Jhumka, CEO of Bluefox SAS, said:
“CloudOffix is the platform of the future — a native AI platform designed to think, scale, and evolve with the client’s business. By bringing everything into one intelligent ecosystem, transformation takes on a new dimension, enabling organizations to move forward with real ROI.”

This partnership will focus on helping Mauritius-based organizations reduce complexity and increase speed-to-value by aligning transformation strategy with an operating platform that supports consistent execution. Bluefox SAS will guide organizations in treating transformation as a mindset, building internal capability, and positioning change as a catalyst for growth rather than disruption. CloudOffix will provide a unified environment where teams can run their front-office processes end-to-end, with consistent data and governance, enabling automation and AI to work across the organization in a practical way.

The outcome is a smarter, more sustainable approach to transformation: fewer disconnected systems, fewer manual handoffs, and fewer gaps between leadership intent and operational reality. Teams gain a clearer experience, leaders gain better visibility, and organizations gain a foundation where AI can deliver value without guesswork, because it is built on unified, trusted operational data. By partnering closely with clients, CloudOffix and Bluefox SAS will co-create solutions that fit real organizational needs and support adoption from day one, ensuring expectations are not only met, but exceeded.

Bluefox SAS’ mission is to empower organizations to embrace transformation as a mindset, position change as a true catalyst for growth, and turn transformation initiatives into success stories. That mission aligns closely with CloudOffix’s platform philosophy: unification is not an end goal that requires endless projects; it is the baseline that organizations should start with, so they can focus on outcomes, not assembly. Together, the companies aim to help organizations in Mauritius move forward with greater clarity, confidence, and capability, creating meaningful and lasting change that improves both business results and the day-to-day experience of people.

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Fivetran Selected by Vistaprint to Power Data Activation and Personalized Customer Experiences

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January 22, 2026

Vistaprint uses Fivetran to activate governed first-party data across advertising and owned channels, improving targeting efficiency, experimentation, and AI initiatives

Fivetran, the global leader in automated data movement, announced that Vistaprint, the design and marketing partner to millions of small businesses, has selected Fivetran to support its shift toward modern data activation and AI-ready customer experiences. With Fivetran powering secure, automated data pipelines and reverse ETL, Vistaprint is connecting governed first-party data directly into the tools its teams use every day across its marketing and customer engagement ecosystem.

Fivetran automates data movement from Vistaprint’s core systems into Snowflake and activates that governed data back into operational tools using reverse ETL.

Vistaprint relies on data to enhance personalization, optimize marketing performance, and streamline operations. The company uses AWS, Snowflake, and analytics tools like Statsig to understand how small businesses engage with its platform. As part of a multi-year modernization effort, Vistaprint has moved from on-premises systems to a cloud-first architecture and adopted a data mesh strategy that treats data as a trusted, shared resource across teams.

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“Vistaprint’s business is built on helping small businesses look professional and connect with customers, and data is central to that mission,” said George Fraser, CEO of Fivetran. “By using Fivetran to activate trusted first-party data across both paid and owned channels, Vistaprint can move faster, personalize experiences more effectively, and support AI-driven initiatives with confidence. We’re proud to support their evolution into a modern, data-driven organization.”

Fivetran automates data movement from Vistaprint’s core systems into Snowflake and activates that governed data back into operational tools using reverse ETL. In paid channels, Vistaprint uses reverse ETL to enrich platforms such as Google and Meta with first-party data, enabling more precise targeting and improved return on ad spend in programmatic advertising. This approach allows marketing teams to rely less on third-party signals and more on accurate, internally governed customer data.

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Reverse ETL also plays a critical role in Vistaprint’s owned-channel experimentation and optimization strategy. As part of an audience testing stack that includes Statsig, Iterable, and Contentful, reverse ETL is used to define and sync control and test groups across platforms. This ensures a single source of truth for audience eligibility, enabling consistent measurement of uplift across omnichannel campaigns and improving the reliability of experimentation results.

“Our marketing teams need fast access to trusted data in the platforms where campaigns are planned, launched, and optimized,” said Drew Forster, Director of Marketing Optimization at Vistaprint. “Fivetran makes that possible by activating data directly into our marketing and customer engagement tools. It has changed how quickly we can personalize campaigns, test new ideas, and support the AI initiatives we’re investing in. We’re moving faster and making decisions with more confidence because the data is always there when we need it.”

As Vistaprint expands its use of AI to improve recommendations, enhance design workflows, and deliver more tailored customer interactions, these initiatives depend on reliable, high-quality data flowing into operational systems. Fivetran ensures governed data is continuously moved and activated through reverse ETL, so teams can work with consistent information directly inside their decision-making tools.

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New Independent Study: 80% of Enterprises Plan to Increase DAM Investment as AI and Content Orchestration Reshape Digital Operations

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January 22, 2026

Reach Selects DeeperDive From Taboola, Gen AI Answer Engine Built for the Open Web, to Connect Readers with Timely, Contextual Answers for Topics They Care About

Research commissioned by Orange Logic reveals DAM evolving from static storage to a strategic orchestration layer powering enterprise content ecosystems.

A new Opportunity Snapshot commissioned by Orange Logic, and conducted by Forrester Consulting, reveals that Digital Asset Management (DAM) is undergoing a fundamental transformation from being thought of as a passive content repository, to the orchestration layer of the modern content supply chain.

The study found that 80% of organizations surveyed plan to increase their DAM investment over the next two years, driven by escalating content demands, expanding distribution channels, and the imperative to integrate AI into content workflows at scale.

This increased investment reflects the demand for teams to produce more content, publish in more places, and manage more formats than ever. Leaders reported they expect DAM to help them improve customer experience, accelerate go-to-market efforts, and support the growth of AI workloads.

Enterprise leaders no longer view DAM as merely a place to store files. Instead, they’re leveraging it as the connective tissue that unifies people, assets, and systems across the entire content lifecycle. Thirty-one percent of respondents plan to use DAM to orchestrate workflows across disparate enterprise systems, including PIM, DXP, e-commerce platforms, and creative production tools, signaling a decisive move toward integrated, composable content operations.

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“This groundbreaking study confirms what we’re seeing across industries,” said Brian McLaughlin, CEO of Orange Logic. “Organizations need a platform that delivers enterprise-wide consistency while empowering teams with the flexibility to execute with velocity, one that supports real AI adoption, and helps them produce better work with less friction.”

While 67% of respondents expect their use of AI within DAM to grow over the next two years, driving improvements in intelligent search, automated asset creation, and informed storage optimization. Many organizations are still navigating how to operationalize AI across workflows in a responsible and effective way.

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The research shows that enterprises seeing real returns from AI treat it as infrastructure, not a collection of isolated features. Agentic, governed AI only works when it is anchored to a foundational DAM that defines what content is approved, how it can be used, and who it is for.

Without that foundation, AI struggles to move beyond experimentation. Outputs become inconsistent. Accuracy erodes. Brand and rights risk increase.

Teams that start with a centralized DAM give AI something reliable to act on, allowing automation, enrichment, and decision-making to scale and compound over time instead of breaking under growth.

Leaders with optimized DAM programs reported measurable improvements in digital operations, team efficiency, and time-to-market, validating the strategic role of content orchestration in enterprise performance.

To learn more about why leaders increasingly view DAM as foundational to the AI-powered content supply chain, read the full Forrester Consulting study, available from Orange Logic.

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Dialpad and TD SYNNEX Partner to Bring Agentic AI Communications to Global Markets

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January 22, 2026

Dialpad and TD SYNNEX Partner to Bring Agentic AI Communications to Global Markets

Partnership expands Dialpad’s AI-first communications platform to TD SYNNEX’s global network of technology partners, unlocking new opportunities for AI-powered customer and team engagement.

Dialpad, the leading AI-powered business communications and agentic platform, announced a new global distribution partnership with TD SYNNEX, a leading global technology solutions aggregator and distributor. The partnership expands Dialpad’s reach to TD SYNNEX’s international portfolio of trusted technology partners, enabling them to offer Dialpad’s unified communications (UCaaS), contact center (CCaaS), and Agentic AI solutions to businesses around the world.

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“Dialpad’s AI-first innovation and proven leadership in agentic communications perfectly align with our mission to empower partners with best-in-class technology solutions.” Cheryl Neal, Vice President of New Vendor Acquisition at TD SYNNEX

Through this collaboration, TD SYNNEX partners will gain access to Dialpad’s AI-first communications platform, purpose-built to simplify how organizations connect, collaborate, and serve customers. With Dialpad’s Agentic AI, partners can help their clients automate repetitive tasks, enhance live interactions with real-time intelligence, and improve performance through AI-driven insights.

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“Partnering with TD SYNNEX allows us to rapidly extend the power of Agentic AI to partners and businesses in new markets,” said Dana Dempsey, RVP, Partner Sales at Dialpad. “TD SYNNEX has long been at the center of the technology ecosystem, helping partners deliver transformational solutions to their customers. Together, we’re making it easier for organizations everywhere to modernize their communications stack and elevate every customer interaction through AI.”

The partnership will strengthen Dialpad’s ability to scale globally by leveraging TD SYNNEX’s extensive partner ecosystem and enablement capabilities. TD SYNNEX will integrate Dialpad’s AI-powered solutions into its edge-to-cloud offerings, allowing partners to deliver unified, secure, and intelligent communication experiences to their customers.

“We’re excited to welcome Dialpad to the TD SYNNEX portfolio,” said Cheryl Neal, Vice President of New Vendor Acquisition at TD SYNNEX. “Dialpad’s AI-first innovation and proven leadership in agentic communications perfectly align with our mission to empower partners with best-in-class technology solutions. This partnership creates new opportunities for our partners to deliver business value through AI-enhanced communications.”

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CallFinder Unveils Targeted Microlearning Video Training for Contact Center Teams through Collaboration with BenchmarkPortal

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January 22, 2026

CallFinder Unveils Targeted Microlearning Video Training for Contact Center Teams through Collaboration with BenchmarkPortal

CallFinder, a purpose-built automated quality assurance (QA) and coaching platform for contact centers, announced a collaboration with BenchmarkPortal that will make BenchmarkPortal’s Call Center Learning Channel+ short-form training video content available to CallFinder clients. CallFinder helps contact center leaders automate manual QA and turn customer conversations into actionable insights, so teams can spend more time coaching and improving performance.

“contact centers need training that’s agile, relevant, and designed for how people learn.”

BenchmarkPortal’s Learning Channel+ is a subscription-based microlearning library built for contact center agent training and coaching, featuring 50+ workplace-friendly videos in approximately five-minute lengths, to help teams maximize adoption and impact.

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“CallFinder’s mission is to help contact center leaders eliminate costly blind spots, and improve performance with complete visibility, and timely insights. The value of all that robust data is only fully realized when coaching follows quickly,” said Laura Noonan, Chief Revenue Officer at CallFinder. “By making BenchmarkPortal’s high quality and high impact microlearning videos available to our clients, we’re helping contact center leaders seamlessly align the agent performance metrics with practical, digestible coaching content that relates directly to those behaviors and habits. We are excited for this collaboration and bringing BenchmarkPortal’s expert content to our clients.”

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“Contact center training sticks when it’s timely, specific, and easy to reinforce,” said Sam Petersen, Senior Client Services Manager at CallFinder. “This is a perfect collaboration because it gives our clients relevant and high-quality coaching material to enact on the insights and metrics that we provide on each contact center team member. Our platform already allows for feedback to the agents but, now we have short form content that can go along with that and help them improve quickly and effectively.”

“contact centers need training that’s agile, relevant, and designed for how people learn,” said Bruce Belfiore, CEO and Senior Research Executive of BenchmarkPortal. “Learning Channel+ was created to help organizations build stronger agent soft skills through short, focused lessons, and we’re pleased to collaborate with CallFinder to broaden access for teams looking to improve quality and customer experience.”

Availability details, including how CallFinder clients can access Learning Channel+ resources, will be shared directly with eligible customers.

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Bombora Partners with Proximic By Comscore to Create New B2B Predictive Audiences

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January 22, 2026

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Bombora-Powered Segments Enable Precise, AI-driven Contextual Targeting Across Primary Digital Channels.

Bombora, the pioneer in B2B data, announced that Proximic by Comscore’s Predictive Audiences now includes 300 new contextual audiences built based on Bombora’s proprietary B2B data. This partnership reflects the unique and central role Bombora plays in unlocking the value of the B2B ecosystem for all stakeholders.

Advertisers now have access to 300 new Proximic by Comscore Predictive Audiences: B2B contextual segments powered by the integration of Bombora’s proprietary B2B data and Proximic by Comscore’s predictive AI technology. This partnership enables sophisticated contextual targeting mapped to essential B2B attributes, such as industry, job function, professional group, and install data. By leveraging these segments, brands can strategically place messaging in media environments tailored to the editorial interests of B2B decision-makers — extending reach, driving relevance, and elevating campaign performance.

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Advertisers can seamlessly activate these segments through The Trade Desk’s Contextual Marketplace or via portable Deal IDs through Microsoft Monetize (formerly known as Xandr SSP), enabling access to major programmatic platforms including DV360, Yahoo DSP, and Adobe.

“Our partnership with Proximic by Comscore is another demonstration of our commitment to giving advertisers seamless access to Bombora’s proprietary B2B data to enable sophisticated advertising strategies,” said Mike Burton, Co-Founder and EVP of Strategic Partnerships at Bombora. “Uniting our unique data assets with Proximic’s predictive technology, empowers brands to reach their ideal professional audiences using a diversity of strategies, including contextual editorial placements, at scale.”

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“We are proud to launch these 300 new Predictive Audiences in partnership with Bombora,” said Jessica Trainor, Head of Partnerships at Proximic by Comscore. “Combining our AI-powered predictive signals with Bombora’s market-leading data and robust multi-identifier infrastructure, creates highly specialized segments that help maximize addressability and drive results in a complex digital landscape.”

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Vertafore Expands AI Capabilities in Surefyre to Save Hours During Program Submissions

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Rutuja Khartode

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January 22, 2026

Vertafore Expands AI Capabilities in Surefyre to Save Hours During Program Submissions

PDF-to-web form automation eliminates manual work and accelerates speed-to-market for MGAs and wholesalers

Vertafore, the leader in insurance technology, has introduced new artificial intelligence capabilities in Surefyre™ that allow program administrators to automatically convert PDF submission forms into web applications.

The latest AI-backed feature in Vertafore’s low-code agent portal and underwriting workbench for MGAs streamlines a time-consuming step in new program setups, transforming a manual process with the click of a button.

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Surefyre uses AI to identify submission fields in a PDF and create a digital form in minutes. Previously, administrators could spend up to four hours manually creating web applications for new programs. That time savings makes it faster for MGAs and wholesalers to bring new programs to market, while reducing the potential for errors from manual data entry and giving teams more time to focus on higher-value work.

“We’re innovating with AI in Surefyre with a clear purpose: to remove friction from the work MGAs do every day,” said Emily McGinn, general manager of MGA and wholesale at Vertafore. “By using AI to automate one of the most manual steps in program setup, Surefyre helps MGAs move faster, create a great experience for their agency partners, and focus on the growth activities that truly accelerate their business.”

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This latest innovation reflects Vertafore’s practical approach to AI by embedding automation directly into real workflows to eliminate low-value manual work and simplify complex processes. Later this year in Surefyre, Vertafore plans to introduce a natural-language summary to highlight changes to an application for endorsements or renewals, as well as AI-powered ingestion of unstructured submissions data.

With 80,000+ users and 60 integrations, MGAs and wholesalers trust Surefyre to drive their business. That trust is reinforced by two recent recognitions for Surefyre: Product of the Year from the BIG Awards for Business and Finalist for Best B2B Customer Strategy in the 2025–2026 Cloud Awards.

“As a global benchmark for excellence in cloud computing, the program recognizes organizations like Vertafore that are driving the industry forward through innovation and excellence,” said James Williams, CEO of The Cloud Awards.

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Salt Security Expands “Universal Visibility” with Specialized API Security for Databricks and Rapid Edge Support for Netlify

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January 22, 2026

Salt Security Expands "Universal Visibility" with Specialized API Security for Databricks and Rapid Edge Support for Netlify

New capabilities extend Salt’s discovery engine into the Agentic AI Action Layer and modern composable web architectures, providing the only dedicated API security visibility for Databricks agentic workloads.

Salt Security, the leader in API security and AI governance, announced a major expansion of its platform’s connectivity fabric with two new strategic integrations: the Salt Databricks Connector and the Salt Netlify Collector. These additions reinforce Salt’s “Universal Visibility” strategy, ensuring that security teams can capture deep API context from every corner of the enterprise, whether it’s a legacy on-premise server, a modern edge deployment, or the rapidly evolving Agentic AI Action Layer.

Securing the Agentic AI Action Layer at the Source. As enterprises rush to build Agentic AI, platforms like Databricks have become the operating system for AI workloads. While generalist security tools (CNAPPs) can scan Databricks infrastructure for misconfigurations, they remain blind to the actual behavior of the AI agents running inside.

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The new Salt Databricks Connector bridges this gap, providing a dedicated API security discovery engine for Databricks environments. It specifically targets the “Agentic Action Layer,” identifying the Model Context Protocol (MCP) servers and AI agents that connect proprietary data models to the outside world.

Ease of Use: Connects in minutes without complex instrumentation or manual configuration.
Action-Layer Visibility: Instantly maps which APIs and data sources internal AI agents are accessing—visibility that infrastructure scanners miss.
Unified Governance: Allows teams to apply the same rigorous security policies to their AI workloads as they do to their traditional APIs.

“Databricks is where the enterprise brain lives, but until now, we have not been able to see what the hands, the AI agents, are actually touching,” said Eric Schwake, Cybersecurity Director at Salt Security. “Generalist tools can tell you if your S3 bucket is open, but only Salt can tell you if an AI agent inside Databricks is actively leaking PII through an unmonitored API. We are turning the lights on in the agentic action layer.”

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Rapid Support for the Modern Edge. Alongside AI visibility, Salt is addressing the fragmentation of modern web architectures. The new Salt Netlify Collector brings feature-parity traffic collection to decoupled frontend applications and Jamstack architectures.

Built to support major enterprise deployments, this collector demonstrates Salt’s agility and ability to rapidly build and deploy collectors as the market evolves. As organizations decouple their frontends and push logic to the edge, standard gateways are often bypassed. Salt ensures security travels with the code.

Universal Reach: Extends Salt’s best-in-class traffic analysis to Netlify’s edge network.
Rapid Adaptation: Showcases Salt’s flexible architecture, allowing the platform to support modern Content Delivery Networks (CDNs) and edge runtimes as fast as developers adopt them.

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Partnerize Brings VantagePoint™ to Publishers to Quantify and Monetize Influence Beyond the Click

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MTS Staff Writer

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January 22, 2026

Partnerize Brings VantagePoint™ to Publishers to Quantify and Monetize Influence Beyond the Click

New charter program quantifies publisher authority across AI-mediated discovery and zero-click conversions to establish a new standard for visibility and value

Partnerize, the leader in partnership automation and measurement, announced VantagePoint™ for Publishers, extending its already category-defining Generative AI conversion attribution solution to address one of the most urgent challenges facing media companies: proving and monetizing influence in AI-driven, zero-click consumer journeys.

As AI becomes the forcing function collapsing traditional click paths, Partnerize is establishing the new economic infrastructure for the machine-mediated market.”
— Matt Gilbert, CEO of Partnerize

The announcement builds on Partnerize’s October launch of VantagePoint™, the first independent attribution solution designed for the machine-mediated market, where AI assistants, large language models, and algorithmic discovery increasingly shape purchasing decisions without a traditional click.

VantagePoint™ for Publishers was unveiled publicly during an on-stage announcement at Affiliate Summit West and is now available in limited release.

In the same week, Partnerize won two awards at the ASW-hosted 2026 Partnership Week Awards: Best Use of AI Implementation and Best New Partnership Technology.

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As AI-driven discovery collapses the click path, publishers are facing a growing disconnect between the value their content creates and the revenue they can measure, defend, or recover. Trusted journalism, reviews, and editorial guidance continue to influence consumer decisions, but that influence is increasingly invisible to legacy attribution models built for a click-based internet.

VantagePoint™ for Publishers addresses this gap by giving media companies independent, auditable visibility into how their content influences AI-mediated discovery and downstream conversions, even when no referral traffic exists. The solution accounts for the shortcomings of legacy last-click attribution models with a standardized framework designed to surface uncredited influence, quantify zero-click revenue loss, and restore publishers’ negotiating power with advertisers.

“As AI becomes the forcing function collapsing traditional click paths, Partnerize is establishing the new economic infrastructure for the machine-mediated market,” said Matt Gilbert, CEO of Partnerize. “With VantagePoint™ for Publishers, we are making influence visible as attribution shifts from deterministic clicks to probabilistic, journey-driven signals, defining the standard for how value is quantified and monetized in an AI-first world. We are ensuring that the publishers powering discovery have the data-driven leverage to lead and thrive in the next era of affiliate marketing.”

Charter participants include Vox Media and BuzzFeed, with additional market leaders in the process of onboarding. This program is reserved for large, multi-brand media organizations whose editorial and commerce content meaningfully shape purchasing decisions, but whose authority has been decoupled from traditional attribution by AI-mediated journeys.

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“AI-mediated discovery has already greatly impacted how audiences encounter and act on content,” said Camilla Cho, SVP and Head of Commerce and Affiliate, Vox Media. “Even as referral traffic declines, influence hasn’t disappeared; it’s just become harder to see. Publishers need better ways to understand when and how their journalism shapes decisions across these new journeys. Solutions and systems that help surface that influence and enable equitable compensation are an important step toward protecting the value of high-quality content in an evolving ecosystem.”

“As AI increasingly shapes how people discover and evaluate products, it has become harder for publishers to measure and receive credit for the value their content creates along the way,” said Becca Maier, VP of Commerce, BuzzFeed. “We’re excited to pilot a cost-per-influence model with Partnerize and VantagePoint™, because it finally offers a way to quantify the real value our content has in a zero-click world. This is the kind of independent, transparent measurement publishers need to protect their value and evolve how we work with advertisers.”

“At HubSpot, our priority is making sure partners are compensated for the actual value they create, not just where attribution happens to land,” said Nancy Mai Harnett, Head of Global Growth Partnerships, HubSpot. “We’re actively exploring new ways to measure partner influence across increasingly indirect journeys, and the data we’re seeing is helping us rethink our entire approach to budgeting and partner commissioning. Understanding where influence really happens is critical as we evolve our programs for how decisions actually get made today.”

VantagePoint™ for Publishers is built with enterprise-grade governance, transparency, and auditability, enabling publishers to defend their value in commercial negotiations, resolve attribution disputes, and establish a new baseline for how influence is measured in an AI-driven ecosystem.

In conjunction with today’s launch, Partnerize is proud to announce that the VantagePoint Fractional Commission Standard™ (VPFCS) has officially completed its rigorous independent validation and received formal certification from the Alliance for Audited Media (AAM).

This certification validates the integrity of VantagePoint™’s multi-factor framework and its advanced attribution algorithm, which quantifies the contribution of publisher sources within AI overviews and links them directly to downstream conversions. Partnerize is the first platform to offer a certified, auditable link between commission-rate advertising dollars and contextual influence.

“AI summaries and zero-click search are significant attribution challenges for the media industry,” said Rich Murphy, CEO of AAM. “We congratulate Partnerize for developing a solution to identify, capture, and quantify publishers’ contributions to the conversion process and subjecting their solution to a rigorous, third-party AAM review.”

With the AAM certification now finalized, VantagePoint™ provides publishers and brands with the verified transparency required to defend and monetize content value in a zero-click, AI-driven ecosystem.

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Neusoft and Cerence AI Sign Strategic Cooperation Agreement to Deliver an AI-Powered Automotive Cockpit Platform

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January 22, 2026

Neusoft and Cerence AI Sign Strategic Cooperation Agreement to Deliver an AI-Powered Automotive Cockpit Platform

Neusoft Corporation, an industry-leading information technology, products and solutions company, and Cerence AI, a global leader pioneering conversational AI-powered user experiences, signed a Memorandum of Understanding to collaborate in the cutting–edge field of large language model-based voice AI. Through joint innovation and ecosystem integration, the two companies will work together to deliver pre–integrated, scenario–driven, intelligent interaction solutions for automotive partners worldwide.

As automotive technology continues to evolve toward greater intelligence and more natural engagement, user expectations for in–cabin interaction are rising. Drivers and passengers now seek more than basic voice responses—they want a companion that understands natural language, communicates smoothly, and resonates emotionally. The partnership between Neusoft and Cerence AI is designed to meet this rising demand, establishing humanlike intelligent interaction as the new standard for smart vehicles.

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Through this collaboration, Neusoft will leverage its advanced intelligent cockpit software platform (NAGIC) as the core foundation, deeply integrating Cerence AI’s expertise in conversational AI, generative AI, and large language models. Together, the companies will explore innovative applications of intelligent voice interaction.

By combining Neusoft’s extensive global product development and delivery network with Cerence AI’s technological strengths and leadership in automotive, the two companies will jointly expand into global target markets.

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Looking ahead, Neusoft will continue to uphold its philosophy of “open collaboration and shared ecosystem success”, working closely with more leading technology partners amid the accelerating trends of automotive intelligence and AI. Together, Neusoft and Cerence AI aim to help automakers break through market challenges and deliver safer, more natural and intelligent mobility experiences to users around the world.

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Epidemic Sound Updates Its AI-Powered Soundtracking Assistant and Creative Collaborator to Accelerate Human Creativity

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January 22, 2026

Epidemic Sound Updates Its AI-Powered Soundtracking Assistant and Creative Collaborator to Accelerate Human Creativity

Epidemic Sound’s creative collaborator, Assistant, makes the process of finding the perfect music and sound effects for content faster and more intuitive
Assistant has been updated to include prompt examples, a track mini player, Epidemic Sound’s `Find Similar’ technology, and a search history for creators
The new features build on the tool’s core functionality of intuitive conversational search for music and sound effects

Epidemic Sound, the world’s leading soundtracking platform powering over 3 billion video views daily across TikTok and YouTube, announced significant updates to its AI-powered Assistant, further cementing its position as a key tool for creators and brands looking to efficiently score their content. These new features are designed to enhance the soundtracking workflow, making the process of finding the perfect music and sound effects faster and more intuitive.

Assistant’s expanded functionality now makes it easier than ever for creators to get started and refine their searches. The tool now features prompt examples to guide users on how to best utilize Assistant for finding music, sound effects, and exploring different creative directions.

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To accelerate the decision-making process, a mini player is now integrated into the track results, allowing users to quickly listen to audio, assess the waveform, find relevant sections, and make fast soundtracking choices. Epidemic Sound’s `Find Similar’ technology has also been integrated – powering users with an instant way to discover alternative tracks with a similar vibe – as well as a history section – enabling creators to save time by revisiting and re-using previous searches and prompts.

“The new updates to Assistant are a direct response to creator feedback and focus entirely on making the soundtracking process even more effortless and effective,” said Epidemic Sound Chief Product Officer, Sam Hall. “We are constantly evolving our AI capabilities, but our core philosophy remains unchanged: AI should enhance human creativity, not replace it. Assistant acts as a creative collaborator, understanding nuanced intent and accelerating the journey from idea to final soundtrack. These latest features are all about giving creators more control and a more integrated workflow.”

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The news follows the launch of Epidemic Sound’s AI-powered, instant soundtracking workflow, Studio, as well as the music customization feature, Adapt, which expanded artist remuneration through an additional bonus pool while powering creators with the ability to easily edit, shape, and customize music for their content.

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Protiviti Awarded Microsoft Frontier Partner Badge, Recognizing Leadership in AI-First Solutions

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January 22, 2026

Empowering clients with cutting-edge AI innovation through a human first, AI-driven approach

Protiviti, a global consulting firm, announced it has earned the highly esteemed Microsoft Frontier Partner badge, a recognition that highlights the company’s leadership in delivering innovative AI solutions, focused on people, business, and transformation. The AI first recognition also honors Protiviti for how the organization has deployed and utilized AI driven solutions internally and to drive value and grow customer-facing Microsoft AI capabilities.

The badge recognizes AI partners that leverage a business-centric approach that combines AI agents and human ingenuity to scale innovation and impact. Earned by showcasing excellence across numerous Microsoft Cloud and AI disciplines, the badge is a new symbol of leadership and impact, recognizing Microsoft partners who are sparking innovative AI solutions that are driving meaningful ROI and setting the pace for what’s next on the AI front.

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“Our focus is to partner with our clients to enable them to harness the true potential of AI while delivering impactful ROI wrapped within a well-governed AI approach,” said Tom Andreesen, Global Microsoft Alliance Lead at Protiviti. “Achieving the Frontier Partner badge reflects our commitment to Microsoft, dedication to innovation and further enables our ability to help our clients realize tangible value through transformation.”

By securing the Frontier Partner badge, Protiviti distinguishes itself as a vanguard in AI-driven solutions, demonstrating deep technical, innovative AI, security and industry experience across Microsoft’s Cloud and AI offerings. This achievement highlights Protiviti’s ability to:

Create and deploy cutting-edge AI agents within Microsoft 365 Copilot, Microsoft Foundry, and Microsoft 365 Dynamics solutions
Scale next generation AI solutions tailored to clients’ strategic needs
Drive measurable impact while generating value through innovation while managing security and compliance demands of the enterprise

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As a recognized Microsoft Frontier Partner, Protiviti will work closely with Microsoft to participate in, co-develop AI agentic offerings, frameworks, and solutions tailored to clients’ specific business challenges, and deliver state-of-the-art AI innovation.

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Adswerve Helps Betterment Unlock New Customer Growth, Reduce Acquisition Costs

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Globe Newswire

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January 22, 2026

Adswerve Helps Betterment Unlock New Customer Growth, Reduce Acquisition Costs

Adswerve, a leading data, media and tech consultancy, announced it helped a trusted wealth and savings platform, Betterment, increase conversions of new, high-value customers by 66% while reducing the cost-per-acquisition (CPA) by 10% with custom bidding scripts.

Betterment CMO, Kim Rosenblum, said, “Adswerve has consistently served as a strategic partner across our full-funnel growth strategy and took an extremely methodical approach to helping us improve our outcomes by engineering a smarter bidding strategy. We are now reaching a wider audience, increasing engagement and ultimately acquiring more long-term value customers at a lower cost.”

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Custom bidding empowers programmatic advertisers to more effectively reach their campaign goals by optimizing towards their organizations’ nuanced business goals. While standard Google Ads’ bidding strategies provided solid results for Betterment, the turnkey strategies did not capture the proprietary signals required to identify the most valuable customers.

Since 2019, Adswerve has served as Betterment’s longtime managed media services partner. The consultancy helps the financial services firm with their full-funnel growth strategy and media optimization across its three lines of business: Betterment Retail, Betterment at Work and Betterment Advisor Solutions. Adswerve is a key partner in helping Betterment maximize the value of its martech investment and drive measurable results.

Adswerve built a custom bidding script for Google Display and Video 360 (DV360) using Betterment’s historical performance data and customer value metrics. The custom script automates complex bidding decisions for Betterment while also providing a new level of control.

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The custom script incorporated a dynamic, weighted, three-tier scoring system to prioritize the most valuable conversions, such as retail brochure site visits, signup completions and initial deposit conversions. It can also adjust bids based on factors like viewability, time of day and creative formats that historically drive the strongest engagement.

Adswerve dedicated three months to learning and optimizing the custom bidding scripts to deliver significant, measurable reach and cost improvements. Betterment reached a wider audience (40% more impressions), increased clicks (1.7K more) and lowered cost-per-acquisition (CPA) by 10% and increased conversions by 66%.

Engineering advanced bidding strategies can have an extremely positive impact on an organization’s performance marketing strategies. However, to avoid issues in the design and implementation of custom bidding scripts it is critical to have an experienced partner to avoid missteps.

Dani Sullivan, head of client success at Adswerve, said, “Betterment deeply understands the value of everyday investments and applies that to their own marketing and growth strategies. At the forefront of media optimization, their marketing team is continually making strides to better understand their audience and their behaviors. Custom bidding was just the latest example of how they put that into practice.”

Adswerve has a breadth of experience with the process of engineering smarter bidding for its clients to maximize efficiency and spend.

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Fast Hippo Media Closes 2025 With Over 300% Growth Following the Launch of Content Everywhere

By

Globe Newswire

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January 22, 2026

MiaRec Featured as Core Performing Vendor on the CMP Research Prism for Customer Analytics

AI-Powered Answer Engine Optimization and omnichannel content strategy fuel record-breaking year for fast-growing digital marketing agency

Fast Hippo Media, an AI-powered digital marketing agency specializing in Answer Engine Optimization (AEO), local SEO, and performance-driven growth strategies, announced a historic close to 2025; reporting more than 300% year-over-year business growth, driven largely by the successful launch of its proprietary framework, Content Everywhere.

Content Everywhere was introduced in early 2025 as a response to the rapidly changing search landscape, one increasingly shaped by AI search engines, large language models (LLMs) such as ChatGPT or Google Gemini, voice search, and zero-click results. The framework redefined how brands create, structure, and distribute content by ensuring it is discoverable, answer-ready, and usable across every major digital touchpoint.

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“2025 marked a turning point not just for Fast Hippo Media, but for the digital marketing industry as a whole,” said Oscar Fullmer, Co-Founder of Fast Hippo Media. “Content Everywhere was built to solve a very real problem: businesses were investing heavily in search, yet failing to show up where decisions are actually being made inside AI search, featured answers, local results, and conversational interfaces.”

Unlike traditional SEO strategies that focus solely on rankings, Content Everywhere was designed to optimize content for humans, search engines, and AI systems simultaneously. The framework integrates structured data, AEO-focused copy, local intent signals, and multi-format omnichannel distribution, enabling clients to surface across Google Search, Google Business Profiles, AI answers platforms such as ChatGPT, video platforms, social platforms, and emerging discovery channels.

Throughout 2025, Fast Hippo Media deployed Content Everywhere across multiple verticals, including home services, legal, e-commerce, professional services, and specialty retail, helping clients improve visibility, lead quality, and conversion efficiency while future-proofing their digital presence.

“What makes Content Everywhere different is that it’s not just content, it’s infrastructure,” said Yagnesh Darji, Search Technologist at Fast Hippo Media. “We built it to align with how modern search actually works: entities, answers, intent, and structured understanding. That’s why it scales so effectively across industries and locations.”

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The results were immediate. In addition to record-setting client and revenue growth, Fast Hippo Media expanded its multi-office footprint and increased client retention. It solidified its position as a trusted partner for businesses navigating AI search and marketing transformation.

As 2026 begins, Fast Hippo Media plans to continue expanding its AEO offerings, continue Content Everywhere development with deeper AI integrations, and further invest in tools and education that help businesses stay ahead of search evolution.

“We’re no longer optimizing for keywords alone,” added Leilah Parks, Vice President of Sales at Fast Hippo Media. “We’re optimizing for answers, authority, and everywhere your customers are looking, whether they realize it or not.”

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GBK Collective Appoints Veteran Marketing Insights Leader Ben Rogers as President, Client Services

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January 22, 2026

GBK Collective Appoints Veteran Marketing Insights Leader Ben Rogers as President, Client Services

GBK Collective, a leading marketing strategy, consumer behavior, and analytics consultancy, announced the appointment of Ben Rogers as President, Client Services. Bringing over 25 years of experience in insights, brand, and marketing strategy, Rogers will play a key role in advancing GBK’s ability to deliver data-driven insights and strategic guidance to its global client base.

“Ben brings a rare combination of commercial acumen and insights experience, deep relationships across technology sectors, and a passion for helping clients succeed,” said Jon Greenwood, Co-Founder and CEO of GBK Collective.

“Ben brings a rare combination of commercial acumen and insights experience, deep relationships across technology sectors, and a passion for helping clients succeed,” said Jon Greenwood, Co-Founder and CEO of GBK Collective. “Having worked closely with Ben in the past, I’ve seen firsthand how effective he is at growing client partnerships and building successful teams. We’re excited to welcome him to GBK as we continue scaling our business and delivering real impact for our clients.”

Prior to joining GBK, Rogers spent seven years as President at NRG, where he built a highly successful marketing insights business focused on the technology sector. During his tenure, he expanded NRG’s client portfolio across enterprise/IT, streaming, gaming, and media, among other categories, helping to modernize the firm’s offering and drive sustained growth in a rapidly changing market.

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Before NRG, Rogers spent nearly a decade in senior leadership roles at Ipsos, where he oversaw regional operations across the technology, media, and advertising sectors and was instrumental in scaling Ipsos’ West Coast business and driving global research programs for some of the world’s leading tech brands. Rogers joined Ipsos in 2012 with the company’s acquisition of Synovate, where he had been SVP of Technology and Telecoms leading the Microsoft relationship globally. Before that, he led various teams on technology accounts for Kantar/TNS Global and also worked for research firms GfK and NOP World.

At GBK, Rogers will oversee all aspects of the client services function, working closely with the team to expand capabilities, strengthen client relationships, and drive growth. Rogers’ deep experience in the technology sector – both B2B and B2C – will make this a key area of focus for the firm.

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“We are extremely excited to have Ben Rogers join us as President of GBK Client Services,” said GBK Co-Founder Eric Bradlow, who is also Vice Dean of Analytics and Chairperson of Wharton’s Marketing Department. “His experience in understanding client needs, delivering the highest quality work, and activating research will enable us at GBK to further enhance the connection between our academic roots/DNA and client deliverables.”

Rogers’ expertise with both strategic ad hoc and tracking work, and a varied range of methodologies across the product lifecycle, adds depth in these areas to the GBK senior team.

“I’m thrilled to be joining GBK at such a dynamic moment in its growth trajectory,” says Rogers. “What sets this firm apart is its rare blend of academic rigor, brand strategy, and a deep commitment to its clients. Alongside deep B2B and B2C technology subject matter expertise, GBK ticks all of the boxes that I was looking for in my next chapter. I couldn’t be more thrilled to be working alongside the exceptional team at GBK to help clients unlock insights, drive decisions, and accelerate results.”

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TrueFoundry Unveils New Solution that Automatically Routes Around Model Outages, Regional Failures, and API Degradations so AI Systems Stay Online

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January 22, 2026

TrueFoundry Unveils New Solution that Automatically Routes Around Model Outages, Regional Failures, and API Degradations so AI Systems Stay Online

Solution serves as a resilience engine for mission-critical workloads
Helps enterprises architect for continuity, not just capability, ensuring business operations stay live even during major provider disruptions

TrueFoundry, an enterprise AI infrastructure platform, announced TrueFailover, a new solution designed to keep AI-powered applications online even when major providers experience outages and degradation.

The announcement comes as more and more enterprises suffer major outages, leaving thousands of users unable to perform mission-critical tasks and scrambling for alternatives. These downtime instances often directly affect the business and its customers through lost revenue opportunities, stalled meetings, missed service-level agreements, and tickets piling up. This creates a ripple effect that can quickly have global implications.

“Most people experience these outages as an inconvenience, like not being able to scroll through their favorite social media app,” said Nikunj Bajaj, Co-Founder and CEO of TrueFoundry. “But for teams building AI systems, it’s a stark reminder that even the biggest, most reliable platforms fail, and that failure can have real business consequences if there is no backup plan. Resilience is not optional anymore — it’s architecture.”

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AI now sits squarely in critical businesses:

Pharmacies use GenAI to refill prescriptions to avoid delaying drug delivery.
Sales teams rely on AI to generate proposals and outreach.
Developers rely on AI coding assistants to ship faster.
Customer support teams deploying new agents risk reputational damage if agents do not work the first time.

The catch: most AI applications rely on external models and APIs (LLMs, embedding services, vector databases, and voice and vision APIs) that can fail, rate-limit, or degrade in quality without warning. Recent incidents have shown partial LLM outages, embedding APIs slowing to a crawl, and latency spikes in voice-generation services.

“Too many teams have architected for capability, not continuity,” Bajaj added. “They picked the ‘best’ model, but never asked what happens when it’s unavailable at 3 p.m. on a Tuesday.”

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Introducing TrueFailover: outage resilience for AI, by design

TrueFailover packages TrueFoundry’s multi-model and multi-region capabilities into a focused outage-resilience solution that sits on top of the company’s AI Gateway and globally distributed deployment layer.

When a primary model, region, or provider fails, TrueFailover ensures that AI workloads transition seamlessly to healthy alternatives — without requiring application teams to rewrite code or manually reroute traffic.

Key capabilities include:

Multi-model failover
Define primary and fallback models across multiple providers (e.g., OpenAI, Anthropic, Gemini, Groq, Mistral, or self-hosted) so that if one model is unavailable, rate-limited, or degraded, traffic transparently shifts to another. As a result, customer-facing and internal AI apps keep responding even when a primary model breaks.
Multi-region and multi-cloud resilience
Run AI endpoints across regions and clouds, with health-based routing that automatically diverts traffic away from unhealthy zones while maintaining low latency for global users. Regional outages become invisible to users, instead of global incidents.
Degradation-aware routing
Continuously monitor latency, error rates, and quality signals so that routing decisions respond not only to hard outages, but also to slowdowns and partial failures. Avoid “slow but technically up” failures that quietly destroy user experience and SLAs.
Health checks, monitoring, and tracing
Built-in health probes, observability, and request tracing provide a clear incident timeline: where failures originated, how traffic was rerouted, and which models carried the load. Now, Site Reliability Engineering and platform teams can diagnose issues in minutes, not hours, and prove how TrueFailover mitigated the impact.
Caching and rate protection
Strategic caching shields providers from sudden traffic spikes and protects customers from rate-limit cascades during high-traffic events or upstream instability. This allows systems to ride out demand spikes and provider limits without sudden brownouts or throttling surprises.

With TrueFailover, end-users and internal teams don’t see the outage — they see a system that continues to respond. The incident becomes a routing decision, not a business crisis.

From “Which model is best?” to “How do we ensure AI doesn’t break?”

Traditional AI conversations often focus on benchmark scores and model leaderboards. Forward-looking enterprises are starting with a different question: “How do we ensure AI doesn’t break?”

“TrueFoundry empowers us to deliver and scale AI capabilities seamlessly,” said Raghu Sethuraman, Vice President of Engineering at Automation Anywhere. “AI is now a fundamental requirement, and the control, availability, and resilience TrueFoundry provides enable us to confidently accelerate AI adoption and deployment across our organization.”

TrueFoundry brings hardened stability to the evolving AI stack by embedding TrueFailover at the AI Gateway Layer. This enables organizations to leverage health-based routing and graceful failover, ensuring AI applications remain as resilient as the world’s most robust distributed systems.

TrueFailover will be offered as an add-on resilience module on top of the TrueFoundry AI Gateway and platform. An early access program for design partners will open in the coming weeks, with broader availability to follow.

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AI Darwinism: New BrightEdge Data Reveals AI Pioneers Stalling

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Globe Newswire

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January 22, 2026