Your AI pilot works. What needs to be true before you scale it?

Learn five practical moves to close the AI Trust Gap: measure business outcomes, name an accountable business owner, establish trusted data, put guardrails into the workflow, and model adoption through everyday leadership.

We’ll walk through practical examples of AI adoption, from promising pilots to decisions about scaling. Explore what happens when information becomes outdated, access is too broad, or decisions require human judgment. Learn how to assign ownership, define escalation, and evaluate business value and safeguards before expanding deployment.

Leave with a leadership checklist and a 90-day Decide–Build–Prove roadmap to choose one valuable workflow, establish ownership and safeguards, and evaluate results. Make a defensible decision to scale, change, or stop based on evidence.