About COMPEL

Our mission

To give practitioners — engineers, risk leaders, executives, regulators, educators — a shared operating model for AI transformation that is rigorous enough to act on and open enough to cite. COMPEL exists so that enterprises do not have to re-invent their AI playbook every time a new standard is published or a new foundation model is released.

Philosophy

COMPEL takes the view that AI transformation is an operating model problem, not a technology problem. Most programs stall because strategy, delivery, risk, and governance live in different silos. COMPEL unifies them around a continuous six-stage cycle — Calibrate, Organize, Model, Produce, Evaluate, Learn — that produces evidence as a by-product of doing the work. See the canonical explainer and the Big Picture.

Methodology lineage

COMPEL is informed by lean-agile delivery, stage-gate governance, and the leading AI safety and governance standards — EU AI Act, NIST AI RMF, and ISO/IEC 42001 — but is not a wrapper around any of them. It operationalizes them, giving teams a practical way to produce the evidence those standards require.

What is in this Body of Knowledge

• The canonical explainer — What is COMPEL?
• The Big Picture interactive diagram
• The 6 Stages reference
• The 4 Pillars reference
• The 18 Domains reference
• The 3 Transformation Enablers
• The 6 Cross-Cutting Principles
• The 4 Quality Gates
• The Operating Model
• The article library
• The glossary
• The governance controls catalog
• The evidence framework
• Standards comparisons

Publisher

The COMPEL Body of Knowledge is published and maintained by FlowRidge.

License

All content is governed by the COMPEL Framework License Agreement. Academic, journalistic, and internal enterprise reference use is welcome with attribution.