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AI readiness in 2026: the infrastructure problem

Why AI initiatives stall in real organizations, and what readiness across data, architecture, and human systems actually takes.

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The readiness gap blocking real AI impact

MIT Sloan Senior Lecturer Paul Cheek is joined by experts from Unwrap.ai, AbsoluteWeb, Simplesat, and Gladly in this on-demand conversation on why AI initiatives stall.

Learn how architecture, data fragmentation, signal blindness, and human operating models quietly determine whether AI succeeds or fails.

What you'll learn:
Why AI stalls in real organizations

See how structural, data, and trust gaps quietly derail AI initiatives before they ever reach impact.

What “AI readiness” really means

Understand how architecture, feedback loops, and human systems must evolve together to support effective AI.

Fix the foundation, not the tools

Get practical guidance on designing for orchestration, context, and trust before scaling automation.

Featured speakers

Christian Eberle

Christian Eberle

Head of AI Solutions at Gladly, Gladly

Owen McKee

Owen McKee

Sales Director, Simplesat

Georgiy Slobodenyuk

Georgiy Slobodenyuk

Director of Technology, Absolute Web

Ryan Millner

Ryan Millner

CEO, Unwrap

Start building real AI readiness