Session
What has to be true for AI enablement to work?
Don't chase AI usage. What has to be true for AI enablement to work?
Some organizations are starting to track AI tool use and in some cases even treat it as a performance lever (e.g., “use AI to be promotable”). That move is tempting because it’s measurable. It’s also a trap. It creates compliance behavior, not capability. It drives activity, not outcomes.
This session is a practical, leadership-oriented reset. We’ll focus on the non-technical conditions that must be true for AI to create measurable value: clarity of expectations, redesigned workflows, psychological safety, governance that enables (not blocks), and incentives that reward outcomes, not tool clicks.
We’ll cover:
Why “AI usage as leverage” backfires
The real maturity curve
What has to be true for value
How to measure what matters
This is not a session about the latest AI features. It’s about the human and org system around them.
Audience: Leaders, transformation teams, enablement/change leaders, and anyone accountable for turning AI investment into real business impact
Molly Rupert-Sullivan
Guidehouse, Director AI Transformation Change
Philadelphia, Pennsylvania, United States
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