AI Transformation Cases

Which case shape turns research into a decision?

An AI transformation case is not a deck. It is a confidence package. It takes a spec, researches the business and market, builds the argument for change, and gives a named reader a bounded decision.

The Spine

1. AI Transformation Case Method — run the repeatable case process.
2. Case Report Template — shape the client-facing confidence report.
3. Evidence and Confidence Gates — check claims, sources, and confidence levels.
4. Future Backcasting for AI Transformation — bridge the desired future back to the first proof.

Zoom Out

Use this cluster when the output is a client-facing or internal AI transformation case. Use AI Transformation Roadmap when the reader already has the evidence and needs to sequence modules.

Client-specific evidence stays inside the case package. Reusable method lives here.

Context

• AI Transformation Roadmap
• AI-Native Assessment
• The Dream-Engineering Loop

Questions

• Which decision must the case make easier?
• Which claim would fail if the source trail vanished?
• Which workflow should prove the first 90 days?