Chapter 14 — The AI Adoption Framework Full Book
"The enthusiasm was there. The framework wasn't."
📖 This chapter is available in the full book
Your CTO walks into the all-hands and says, "We're going all-in on AI." The room buzzes with excitement. Teams brainstorm use cases before the meeting ends. Within two weeks, Slack is full of threads about GPU availability.
Fast-forward three months. Five teams have independently provisioned GPU VMs across four subscriptions. Nobody can tell you which models are in production versus which are someone's weekend experiment. Two teams are paying for reserved instances on clusters that sit idle 80% of the time. Security hasn't reviewed any of the deployments. The CFO wants to know why the Azure bill jumped 40%.
The enthusiasm was there. The framework wasn't. This chapter gives you a 6-phase roadmap from AI-curious to AI-capable.
What You'll Learn in This Chapter
- The Best of Intentions, the Worst of Outcomes
- The 6-Phase AI Adoption Model
- Phase 1: Diagnostic — Where Are We Today?
- Phase 2: Enablement — Building the Foundation
- Phase 3: Infrastructure Preparation — Building the Platform
- Phase 4: Experimentation — Controlled Exploration
- Phase 5: Scale and Governance — Going Production
- Phase 6: Continuous Adoption — Never Done
- Anti-Patterns to Avoid
- Decision Gates Between Phases
- Measuring Success