AI projects don’t fail on model quality, they fail when the people who should use them…don’t.

This talk is a practical, vendor-neutral guide to launching AI in any department without breaking culture or trust.

We’ll replace theory with plain language and real patterns from AV/IT environments: where AI helps (and doesn’t), how to choose first use cases that actually stick, and how to introduce them so staff feel helped, not replaced. 

You’ll learn a simple “people-first” rollout to clarify the job to be done, embed AI into the existing workflow, set clear success metrics, and design training that respects time and identity. 

We’ll cover standard failure modes (executive pressure, shadow AI, unclear ownership, bias/privacy worries, and change fatigue) and show light-weight ways to address them. You’ll leave with a one-page checklist and talk tracks you can use with your C-suite and front-line teams on Monday. No frameworks required, just a practical path to AI that humans adopt.