Skip to content

← All podcast episodes

12. KPI Architecture - The Language of Enterprise AI Transformation. ​

Episode 12 · Book discussion · 14 March 2026 · 16:38

What makes a KPI useful for enterprise AI transformation? ​

This book discussion explores KPI Architecture: defining a metric through a formula, a data source and an accountable owner. It examines how explicit measurement rules can reduce ambiguity between tactical activity and strategic outcomes.

Listen on RSS.com · Follow on Apple Podcasts · Follow on Spotify

In this episode ​

  • Formula-first metric definitions
  • Verifiable data and ownership
  • Versioned measurement and outcome traceability

Sources and context ​

This is a discussion of the book’s argument; the linked overview is not the complete chapter or an independent evidence review.

About this recording ​

Curated and orchestrated by Moses Sam Paul, Partner at Growth Flow Engineering, with AI-generated hosts and discussion. These are edited episode notes, not a verbatim transcript. The recording retains its original publication date; notes were updated on 10 November 2026.

Read the GrowthFlowEngineering newsletter for written analysis of enterprise AI transformation and human + AI operating models.

Explore the GFE book · Explore our operating models