You distributed AI licenses across your organization and expected adoption to follow. Instead, employees are using it for basic search — or not at all. The gap between "here's the tool" and "this changed how I work" is where most AI investments quietly die.

In this episode, John Veltri — Managing Director of Insight's Google AI go-to-market — explains why that gap exists and what to do about it. He breaks down a launchpad framework that builds AI adoption in concentric layers: foundational user training first, governance and security hardening second, and only then identifying the highest-ROI agentic workflows for your business.

You'll hear why prompt engineering — the dominant AI training topic less than a year ago — is already obsolete, why single-engagement deployments can't keep up with how fast AI evolves, and what it looks like when leaders model AI adoption by building tools themselves and failing in front of their teams.

See how organizations are putting this into practice:

How Blackline hit 99% adoption of Gemini Enterprise with Insight

How Freestar sped up sales leads 60x with Gemini Enterprise

The AI Playbook for enterprise AI transformation

Get Insight's Google AI solutions because you'll see exactly how to move from license to real adoption with a partner who stays with you for the full journey: https://www.insight.com/en_US/shop/partner/google.html

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Chapters

00:00 — Welcome and series introduction

03:39 — Getting past the license to real business impact

05:50 — The order of operations for AI adoption

08:12 — When are organizations ready for agentic AI

12:11 — Realistic timelines for AI transformation

14:35 — Why prompt engineering is already obsolete

16:34 — Why utilization stays low and how to fix it

20:31 — What leaders should do to model AI adoption