ABOUT THIS EPISODE
Most AI rollouts don't fail because of the tool. They fail because nobody owns them.
In this episode, we look at Marcus Webb, an Operations Director at a 380-person logistics company, who went from "one person using ChatGPT for emails" to eleven people, three departments, and zero accountable owner — without ever deciding to build an AI strategy at all. Plus a listener question from Priya, an IT Manager wrestling with the same problem from the risk side.We break down the three most common ways AI adoption quietly stalls before it scales, the real difference between technology-first and capability-first adoption, and the three-phase, 90-day framework that turns scattered AI use into something you can actually defend to leadership.
What we cover:
- Why "we have an AI policy" isn't the same as "we have a governance system"- The single biggest reason AI rollouts lose momentum after 3–6 months- Capability-first vs. technology-first — and why the tool is rarely the real bottleneck- The AI Capability Rollout Framework: Establish Clarity & Guardrails → Controlled Pilot → Measure, Formalize & Scale- What Marcus did differently once he named an owner and ran a real baseline
Get your free AI Readiness Score: https://airolloutframework.com/ai-readiness-score
See the full framework: https://airolloutframework.com/framework
