Beyond the Buzz: Making AI Work in Real-World Medical Device Sales Training

A live session. A room full of medtech training leaders. An unusually honest conversation about what's actually going on with AI.

This is the recording of Noah Zandan's session at the 2026 TT Lifesciences Sales Training Conference — and it sounds like the talk, not a polished product demo. Noah opens by showing exactly which AI tools he used to build the presentation. The audience pushes back in real time on compliance gaps, adoption failures, and the disconnect between what vendors promise and what actually gets deployed.

What you'll hear is a frank read on where AI in sales training really stands, delivered to a room of people who are living the same challenges you are. The framework Noah walks through is practical and specific: three failure modes with diagnostic questions you can use in your next vendor evaluation, the data security commitments to get in writing before you sign anything, and the five decisions that tend to determine whether an AI training initiative succeeds or stalls.

What's Covered

• The honest state of AI in medical device sales training in 2026: what's working, what's overpromised, and what's emerging
• Three failure modes that look like success early on, with specific diagnostic questions to catch them before they cost you
• What AI should handle versus what humans must own, and how to frame it for skeptical managers and reps
• The data security conversation most teams have six months too late
• The three non-negotiables for compliant AI training in regulated environments
• Five decisions, in order of importance, that determine whether a deployment succeeds or stalls

Want to download the slides? Get them here.