Organizations are buying AI tools, launching pilots, and encouraging experimentation. Yet much of that visible activity is failing to produce meaningful organizational progress.

In this keynote, Jenny Kay Pollock introduces the Use-to-Value Gap: the difference between visible technology adoption and measurable organizational value. She explains why tool access is not transformation, why a pilot is not yet a capability, and why more AI activity does not automatically lead to better decisions or better work.

Attendees will learn how to distinguish experimentation from organizational capability, identify where AI should meaningfully change work, and evaluate adoption through better decisions, repeatable practices, stronger trust, and new ways of working.

The session gives leaders a practical framework for moving beyond activity metrics and focusing on the organizational outcomes that matter.

Format: Keynote
Audience: Executives, business leaders, transformation leaders, product leaders, AI program owners, and innovation teams
Preferred duration: 30–45 minutes
Level: Intermediate
Delivery: In person or virtual
Status: Available for booking

Learning Objectives:

After this session, attendees will be able to:

Recognize the difference between visible AI activity and measurable organizational value
Identify when an AI experiment is becoming a repeatable organizational capability
Evaluate AI initiatives through changes in decisions, trust, practices, and ways of working
Ask stronger questions about ownership, risk, outcomes, and what should change in the work