Enterprise AI Transformation¶
| Page | Last updated |
|---|---|
| Enterprise AI Transformation A structured eight-track framework for organizations navigating AI transformation, from strategy and governance through data, workflow, adoption, talent, and value measurement. |
Updated 2026-06-12 |
| Running the Program How to operate all eight tracks as a coherent program — staffing, funding, sequencing, and stakeholder communication. |
Updated 2026-06-12 |
| Tracks The eight workstreams of enterprise AI transformation, each containing a core framework, practitioner guides, and assessment tools. |
Updated 2026-06-12 |
| About This Framework What the Enterprise AI Transformation framework is, who it's for, and how to use it. |
Planned |
| Citation & Stats Validation Audit Validation audit for all statistics and citations used across the framework. |
Planned |
| Executive Summary A one-page synthesis of the Enterprise AI Transformation framework for leaders deciding where to invest before funding AI programs. |
Planned |
| Glossary 100+ terms across AI strategy, governance, data architecture, ML operations, agents, privacy, security, regulatory frameworks, and organizational change. |
Planned |
| The Eight-Track Model The cross-cutting architecture of the framework — what each of the eight tracks owns, how they depend on one another, how to sequence them, the two failure modes, and a maturity matrix. |
Updated 2026-06-15 |