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OnBoard Advances Its Vision for Human-Led AI in the Boardroom

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As rivals chase the novelty of an “AI board member,” OnBoard is taking a different path: using AI to strengthen human-led governance, not replace it.

INDIANAPOLIS, July 13, 2026 /PRNewswire/ — OnBoard, a board management platform used by more than 7,000 organizations worldwide, today advances its vision for human-led AI in the boardroom — and makes clear this is not a roadmap. OnBoard AI is live. Customers are using it today across every stage of the board meeting lifecycle, from agenda preparation to minutes capture to between-meeting continuity. Its position is direct: artificial intelligence belongs in the boardroom to amplify human judgment, not to replace it.

The company is also announcing where that vision leads. When fully realized, OnBoard will be the first board management to deliver full-context, semantic search across a board’s complete institutional record–every agenda, decision, discussion, and minute–searchable not just by keyword, but by meaning.

Ask most boards what they decided three years ago and they can pull the minutes in seconds. Ask them why, and the reasoning is usually gone. For decades, board management systems have organized agendas, stored documents, and archived minutes–but they never captured the thinking behind the decisions, the institutional memory that carries a board forward.

That missing memory carries a cost, and it shows up in the data. OnBoard’s own Board Effectiveness Survey, now in its sixth year, finds that 87% of boards still report members who are not contributing effectively–a figure that has barely moved despite waves of new technology. Directors are already reaching for help: 92% used AI for board work in the past six months, most of them on public consumer models, while 63% sit on boards with no formal AI policy in place.

As some in the industry explore giving AI its own seat at the boardroom table, OnBoard is taking a different position: the duty of care of a board director is uniquely human, and it always will be.

For the general counsel weighing whether a governance team should use AI at all, the decision comes down to two questions: will it be secure, and will it train on our data? OnBoard AI answers both: enterprise-grade security hosted on Microsoft Azure, and customer content is never used to train AI models.

Introducing OnBoard Governance IQ: Three Layers. One Platform. Every Director, Amplified.

OnBoard Governance IQ is what a board earns. It is the cumulative result of three intentional layers built into OnBoard AI, and it compounds over time as directors engage the platform, contribute context, ask questions, and run meetings through it. A board that has used OnBoard AI for a year has a higher Governance IQ than one that started last month. OnBoard intends to make that visible: a score boards can track, improve, and act on. And because it is earned through the platform itself–not added on top of it–no bolt-on AI tool can come close to replicating it. The three layers that produce it are:

Industry Knowledge. OnBoard AI understands the sector in which an organization operates–the regulatory landscape, the market dynamics, and the governance stakes specific to that environment.

Institutional Memory. The system recalls every decision a board has ever made. Today’s strategy is grounded in years of prior deliberation–not just the last set of minutes, but the full arc of the board’s governance history.

Director Intelligence. OnBoard AI knows each director’s expertise and experience, and surfaces intelligence tuned to what that individual brings to the table–so a first-year director and a ten-year veteran each walk in prepared in ways that serve them personally.

Together, these three layers produce what no generic LLM and no drag-and-drop document workspace can replicate: personalized, contextual answers drawn from a board’s complete and living governance record–fully secured inside OnBoard’s enterprise-grade Microsoft Azure environment.

Live Today. Getting Smarter All Year.

OnBoard AI is not a roadmap. It is a functioning platform, available now, that covers every stage of the board meeting lifecycle:

AI Agenda turns notes or a file into a time-boxed, structured agenda–and dynamically resurfaces unresolved topics from prior meetings so nothing falls through the cracks.

AI Book delivers section-level briefings anchored to each director’s expertise, so every director walks in knowing exactly where to focus.

AI Minutes captures transcripts and generates accurate, editable minutes drafts without exposing the board’s record to any outside AI model.

AI Assist answers questions in plain English, threading context from the board’s full historical record–with responses scoped to each user’s permissions.

AI Insights, AI Actions, and additional capabilities are launching across the remainder of 2026, extending the value deeper into risk anticipation, follow-through tracking, and cross-meeting pattern recognition.

Leadership Perspectives

“Boards exist because of human judgment–the accountability, the ability to see around corners, the collaboration that only people in a room together can produce. Some in this industry are suggesting AI should take a seat at that table. We think that gets the question exactly wrong. What we’ve built with Governance IQ is different in kind, not just degree. For the first time, a board’s full institutional context–every decision, every deliberation, every thread still open–is available to every director, personalized to their expertise, inside a security perimeter their governance team already trusts. That’s not a feature update. That’s a fundamental shift in how governance works. And it’s available right now.”

Marc Huffman, Chief Executive Officer, OnBoard

“Effective boards are a cornerstone of organizational health, and the quality of director preparation and engagement is one of the most underestimated drivers of good governance. What OnBoard AI has built is unique and important because it helps directors navigate increasing complexity while preserving the essential role of human judgment. It enhances directors’ judgment rather than replaces it: a philosophy that I believe will lead to better governance and better decisions over the long run.”

Amit Seru, Senior Fellow, Hoover Institution; Professor of Finance, Stanford Graduate School of Business; External Advisor, OnBoard

“Every board meeting follows a lifecycle–from the moment an agenda takes shape, through director preparation, through the meeting itself, through the follow-through that either closes the loop or lets it slip. We have built Governance IQ into every stage of that lifecycle. The result is a board where the first-year director and the ten-year veteran both walk in with the same depth of context, and where nothing that matters ever disappears between meetings. What we’ve shipped is just the beginning–and what’s already live today puts every bolt-on AI solution in this market to shame.”

Tim Adair, Chief Product Officer, OnBoard

Built on the Security Standard Boards Demand.

OnBoard AI runs entirely within OnBoard’s private Microsoft Azure OpenAI environment. Board data never trains external models, never mixes with other customers’ data, and never leaves the customer’s controlled infrastructure. The platform is certified SOC 2 Type II, ISO 27001, ISO 27701, and HIPAA-compliant, with role-based permissions ensuring that every AI response respects the governance framework already in place. OnBoard AI will not–and cannot–make a material decision on a board’s behalf. Human oversight is not an option. It is architecture.

BROADCAST EVENT — July 15, 2026 • 1:00 PM ET

See the Future of AI in the Boardroom

Join OnBoard CEO Marc Huffman, Chief Product Officer Tim Adair, and Chief Customer Experience Officer Anusha Srijeyanathan for a live keynote event on July 15, 2026 at 1:00 PM ET. See OnBoard AI in action across the full board meeting lifecycle–including a demonstration of how intelligence compounds over time to give every director at the table the context they need to lead.

Register now: The Future of OnBoard AI

OnBoard AI is available to OnBoard customers today. Organizations interested in experiencing the platform can request a demo or begin a free trial at onboardmeetings.com. Governance IQ, along with additional OnBoard AI capabilities including AI Assist, Insights, and Actions, will launch later this year.

About OnBoard

OnBoard is the #1 rated board management platform, serving more than 7,000 organizations across 60 countries–including healthcare systems, universities, nonprofits, financial institutions, and public companies. Trusted by more than 175,000 board directors, corporate secretaries, committee chairs, and executive leaders, OnBoard provides the meeting lifecycle management, governance system of record, and AI-powered intelligence that modern boards require. OnBoard is certified to SOC 2 Type II, ISO 27001, ISO 27701, and HIPAA, with enterprise-grade security hosted on Microsoft Azure. Learn more at onboardmeetings.com.

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CNCF Welcomes Adyen as Platinum End User Member to Advance Open Source Financial Infrastructure

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Operating over 100 Kubernetes clusters across €1.39T in volume, Adyen brings production-scale fintech expertise to CNCF governance and open source projects

Key Highlights

Adyen joins the CNCF as a Platinum End User Member, gaining seats on the CNCF Governing Board and End User Technical Advisory Board.Operating over 100 Kubernetes clusters with Cilium, Prometheus, and OpenTelemetry, Adyen brings production-scale operational expertise to the open source community.Adyen open sourced kubectl-rexec, a Kubernetes tool that supports auditable kubectl exec access for regulated cloud native environments.

SALT LAKE CITY, Nov. 11, 2026 /PRNewswire/ — KUBECON + CLOUDNATIVECON NORTH AMERICA – The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, today announced that Adyen, the global financial technology platform, has joined the foundation as a Platinum End User. The move comes as 87% of financial organizations report clear business value from open source, according to the FINOS 2025 State of Open Source in Financial Services Report, reinforcing Adyen’s commitment to advancing the open source technologies that help power secure, scalable financial infrastructure.

Processing billions of transactions each year and €1.39 trillion in volume in 2025, Adyen is investing at the Platinum level to help advance the secure, reliable cloud native infrastructure that financial services require. Its participation brings the operating perspective of a global fintech platform to the open, vendor-neutral community shaping the technologies on which modern finance depends.

“End users are the operational backbone of the cloud native ecosystem, and Adyen represents the pinnacle of high-scale, zero-downtime engineering,” said Jonathan Bryce, executive director, CNCF. “Operating over 100 Kubernetes clusters at a global scale gives Adyen unique technical insights. We are thrilled to welcome them as a Platinum End User and look forward to their leadership on our Governing and Technical Advisory Boards.”

Adyen’s membership provides the cloud native community with a direct feedback loop from an environment where platform availability, performance, and security carry immediate financial weight.

Beyond leveraging Kubernetes, Cilium, Prometheus, and OpenTelemetry across its global infrastructure, Adyen actively contributes solutions designed for regulated engineering teams. This includes open sourcing kubectl-rexec, a tool that adds strict auditability to Kubernetes container-access workflows while preserving native developer velocity.

“Investing in the CNCF helps us to maintain full control of our technology,” said Pedro Oliveira, VP of Infrastructure. “When you operate at our scale, vendor lock-in isn’t an option, and having a seat at the table matters. Bringing our real-world experience to the community lets us help shape the tools we rely on every day, making them more reliable for us and for the broader ecosystem.”

As a Platinum End User Member, Adyen will hold a seat on the CNCF Governing Board, which provides business, marketing, and budget oversight for the foundation. The company will also appoint a representative to the End User Technical Advisory Board, which brings end-user needs and perspectives to CNCF community discussions.

To learn more about becoming a CNCF member, visit https://www.cncf.io/about/join/.

About Cloud Native Computing Foundation
Cloud native computing empowers organizations to build and run scalable applications with an open source software stack in public, private, and hybrid clouds. The Cloud Native Computing Foundation (CNCF) hosts critical components of the global technology infrastructure, including Kubernetes, Prometheus, and Envoy. CNCF brings together the industry’s top developers, end users, and vendors and runs the largest open source developer conferences in the world. Supported by nearly 800 members, including the world’s largest cloud computing and software companies, as well as over 200 innovative startups, CNCF is part of the nonprofit Linux Foundation. For more information, please visit www.cncf.io.

Media Contact
The Linux Foundation
pr@cncf.io

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Tiger Analytics Achieves AWS Premier Tier Status in the Amazon Web Services Partner Network

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The recognition reflects Tiger Analytics’ demonstrated technical expertise, customer success, and continued investment in its AWS partnership, strengthening its ability to deliver enterprise-scale cloud, data, and AI solutions.

SANTA CLARA, Calif., Nov. 11, 2026 /PRNewswire/ — Tiger Analytics, a global leader in AI and analytics, today announced that it has achieved AWS Premier Tier Services Partner status in the Amazon Web Services (AWS) Partner Network (APN).

Achieving AWS Premier Tier Services Partner status differentiates Tiger Analytics as an AWS Partner who demonstrated expertise and notable success in helping customers design, architect, build, migrate, and manage their workloads on AWS.

“Achieving AWS Premier Tier marks an important inflection point in Tiger Analytics’ relationship with AWS,” said Puneet Piplani, Head of Strategic Growth and Alliances. “It recognizes the expertise and customer impact we have built together, while creating an even stronger foundation for what comes next. Our ambition is to combine Tiger Analytics’ deep data and AI capabilities with the scale and innovation of AWS to help enterprises move faster from AI ambition to measurable business outcomes. Premier Tier is an important milestone, and we believe the biggest opportunities in our partnership are still ahead of us.”

To earn Premier Tier, companies must complete a rigorous approval process through accreditations and certifications, must demonstrate a long-term investment in their relationship with AWS, and must have extensive expertise in deploying customer solutions on AWS. AWS Premier Tier Services Partners also have a strong team of AWS Trained & Certified technical consultants and have deep expertise in project management and professional services.

The impact of this collaboration is reflected in customer engagements such as Cross River Bank, where Tiger Analytics worked with AWS to establish a governed foundation for developing and deploying agentic AI across banking functions.

“Together with Tiger Analytics and AWS, we’ve built a foundation that allows us to rapidly develop and deploy agentic AI across banking functions,” said Pravesh Rijal, Chief Data and AI Officer at Cross River Bank.

About Tiger Analytics

Tiger Analytics is a global leader in AI & analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services and solutions to empower businesses to achieve real outcomes. Our team of 7000+ technologists and consultants is based across the globe, working closely with clients across multiple sectors. For more information, visit tigeranalytics.com 

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Meta Wins CNCF End User Case Study Contest for Accelerating AI Infrastructure Deployments From Hours to Minutes

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Using Argo CD and Kargo, Meta is building a GitOps platform to streamline application delivery across 100 Kubernetes clusters supporting AI research and inference

Key Highlights

Meta’s Cloud Foundation team won the CNCF End User Case Study Contest for its GitOps platform, built with Argo CD and Kargo to streamline Kubernetes application delivery.The new platform cuts routine application deployment times from more than four hours to minutes, streamlining the small team’s workflow through a simplified application definition while adding more advanced features such as automated deployment configuration, independent release promotion, and health verification.By separating application delivery from infrastructure provisioning, Meta is enabling independent application rollouts while retaining Terraform for infrastructure management.

SALT LAKE CITY, Nov. 11, 2026 /PRNewswire/ — KubeCon + CloudNativeCon North America 2026 — The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced Meta as the winner of the CNCF End User Case Study Contest for its adoption of cloud native technologies to accelerate application delivery across its AI infrastructure. Through a GitOps platform built on Argo CD and Kargo, Meta’s Cloud Foundation team is transforming how applications are deployed and managed across approximately 100 Kubernetes clusters supporting AI research and inference, reducing routine deployment times from more than four hours to minutes.

“AI infrastructure is causing organizations to rethink how they manage applications across distributed environments,” said Chris Aniszczyk, CTO, CNCF. “Meta’s approach demonstrates how open source technologies like Argo can help teams automate their application delivery, reduce operational complexity and scale infrastructure without adding unnecessary overhead. It’s a powerful example of how cloud native technologies are supporting the operational demands of AI at scale.”

Meta’s Cloud Foundation team, composed of more than 15 engineers, supports approximately 100 Kubernetes clusters across multiple cloud providers and accelerator families. Previously, Terraform was used for both infrastructure provisioning and Kubernetes application deployment, tying even routine application updates to a lengthy infrastructure release process. The shared deployment model meant stalled rollouts could delay unrelated releases and lacked automated health checks to verify application status.

To address these challenges, Meta began building a GitOps platform that separates application delivery from infrastructure provisioning. Terraform continues to manage infrastructure, while Argo CD reconciles application deployments against configurations stored in Git. Kargo orchestrates release promotion across environments, enabling independent rollouts, automated health checks and versioned release records that improve deployment traceability and recovery.

“GitOps and Argo CD give our small team a great foundation, shaped by years of community experience in Kubernetes delivery,” said Phong Nguyen, Production Engineer, Meta. “We focus on connecting it to Meta’s systems and aim to share our own lessons along the way.”

Meta also simplified application delivery by allowing developers to specify deployment requirements through a short application definition. The platform automatically generates Argo CD and Kargo configurations, enabling independent release promotion, automated health verification and deployment consistency without requiring application teams to manage complex configurations.

Meta plans to expand adoption of its GitOps platform and transition to a centrally managed Argo CD service to reduce maintenance overhead across its Kubernetes fleet. The team is also exploring upstream contributions to improve container registry authentication and Argo CD performance in large clusters.

To learn more about Meta’s implementation and results, read the full GitOps at Meta: How We Went From Terraform on Cron to GitOps for AI Infra case study.

About Cloud Native Computing Foundation

Cloud native computing empowers organizations to build and run scalable applications with an open source software stack in public, private and hybrid clouds. The Cloud Native Computing Foundation (CNCF) hosts critical components of the global technology infrastructure, including Kubernetes, Prometheus and Envoy. CNCF brings together the industry’s top developers, end users and vendors and runs the largest open source developer conferences in the world. Supported by nearly 800 members, including the world’s largest cloud computing and software companies, as well as over 200 innovative startups, CNCF is part of the nonprofit Linux Foundation. For more information, please visit www.cncf.io.

Media Contact
The Linux Foundation
pr@cncf.io 

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SOURCE Cloud Native Computing Foundation

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