On Demand
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.
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
Head of AI Solutions at Gladly, Gladly
Owen McKee
Sales Director, Simplesat
Georgiy Slobodenyuk
Director of Technology, Absolute Web
Ryan Millner
CEO, Unwrap