Date: February 19th 2026
Time: 11AM - 12PM ET
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It’s unmanaged context, fragmented knowledge, inconsistent definitions, outdated policies, and unclear ownership of what AI systems are allowed to rely on.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.
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.
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Our excellent customer support team is ready to help.