Join us for a Webinar on the AI Context Center of Excellence, February 19th, 11am-12pm → Register Now

Webinar: The Enterprise AI Context Center of Excellence (CoE) Imperative

In this live webinar, The Kendall Project will introduce the Context Center of Excellence (CoE). A practical operating model for governing, structuring, and scaling the context your AI systems depend on.

Date: February 19th 2026
Time: 11AM - 12PM ET

AI Strategy Workshop for Transportation Leaders

The AI Context Center of Excellence Imperative

A Webinar for Enterprise Leaders Scaling AI Beyond the Pilot Stage

Enterprises everywhere are investing heavily in AI, yet many are hitting the same ceiling: strong pilots that fail to translate into reliable, scalable production outcomes. Accuracy drifts. Answers vary. Risk increases. Trust breaks down.

In most cases, the issue isn’t the model or the data platform.

It’s unmanaged context, fragmented knowledge, inconsistent definitions, outdated policies, and unclear ownership of what AI systems are allowed to rely on.

Join The Kendall Project for a live webinar introducing the AI Context Center of Excellence (CoE): a practical operating model for governing and scaling the context infrastructure that modern AI systems depend on.

Built on The Kendall Framework, this session will show how leading organizations are establishing shared standards, roles, and lifecycle controls to make AI usable, governable, and enterprise-ready.

What You’ll Learn

Why AI Breaks After Pilots
Understand the “context gap” that causes AI accuracy and trust to collapse when systems move from experimentation into the enterprise.

What a Context CoE Is (and Is Not)
Learn how a Context Center of Excellence enables scale without becoming a centralized bottleneck or another layer of bureaucracy.

Context as Infrastructure
Explore how enterprises are treating context like a governed asset, structured, reusable, and aligned across teams and systems.

Roles, Ownership, and Operating Rhythm
See the core roles required to manage context effectively, including ownership, curation, standards, and lifecycle governance.

How to Start Small and Scale Fast
Walk away with a realistic starting point for building Context CoE capability inside your organization.

Why Attend

  • Cut through AI hype and focus on the missing operational layer required for trustworthy scale
  • Learn a repeatable framework for improving AI reliability, governance, and adoption
  • Understand how context infrastructure reduces variation, risk, and organizational drift
  • Leave with clear next steps for launching a Context CoE without slowing innovation

Why Attend?

  • Presenters

    Brendan McSheffrey
    Co-Founder, The Kendall Project

    Brendan is a leading thinker in enterprise AI, known for advancing the concept of context as core infrastructure.

    Kevin Gulley
    Co-Founder, The Kendall Project

    Kevin is a thought leader in enterprise AI, helping organizations scale trustworthy AI by building the context infrastructure modern systems require.

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