Module 10: Building an AI Strategy - From 'We Should Do Something with AI' to a Concrete Plan

How do you turn 'we should do something with AI' into a real twelve-month plan?

The phrase 'we need to do something with AI' has produced more wasted budget than almost any other strategic instruction in the last three years. This module is the antidote: a concrete framework for turning that instruction into a prioritized portfolio, a sequenced roadmap, and a measurable set of outcomes. Every step is taken from real organizations that have shipped meaningful AI capability.

What you'll learn in this module

• The use-case discovery method that produces a defensible portfolio rather than a vendor wishlist
• The prioritization framework that ranks AI initiatives by value, feasibility, and strategic fit, and survives a CFO challenge
• The team and operating model that actually delivers AI capability: center of excellence, embedded, federated, or hybrid
• The talent strategy: what to hire, what to contract, and what to keep with the existing team
• The twelve-month roadmap structure with the milestones, evals, and decision gates that prevent eighteen months of pilot drift

The full module gives executives a concrete blueprint they can adapt to their organization without reinventing the methodology from scratch.