The Hartwell Governance Method™

A method, not a checklist

Most AI governance advice stops at frameworks and policy documents. The Hartwell Governance Method is the operating path Mary Hartwell has used to build governance programs from zero at United Technologies, II-VI, Axiall, and Syniti — six stages, each one a precondition for the next, ending in business value that can actually be measured, not asserted.

Business Strategy

Data Foundation

Data Governance

AI Governance

AI Deployment

Measurable Business Value

AI governance cannot compensate for an ungoverned data foundation.

Why the sequence matters

Skip a stage, and the ones after it don't hold.

54%
Share of AI models that ever reach production without a governance program
Gartner, 2022
2.3×
Faster deployment to production for organizations with formal AI governance
Accenture Responsible AI Study, 2023
56%
Of organizations cite lack of a governance framework as the top barrier to shipping AI
McKinsey Global AI Survey, 2023
7%
Maximum EU AI Act fine (of global turnover) for prohibited AI practices
EU AI Act, Regulation 2024/1689

Frameworks

Downloadable executive guides and diagnostics, coming soon.

Responsible AI Framework

An executive guide to responsible AI adoption.

Coming soon

AI Readiness Diagnostic

A self-assessment across data, governance, technology, people and operating readiness.

Coming soon

AI ROI Framework

A structured way to validate where AI is actually creating measurable value.

Coming soon

Want to see where your own codebase stands?

The AI Governance Scanner checks a repository against 10 AI governance frameworks — NIST AI RMF, ISO 42001, EU AI Act, HIPAA, GDPR, FedRAMP, CMMC and more — and returns a scorecard in seconds.

Try the Scanner →

Bring the Method to your organization

Mary Hartwell will show you exactly where your organization sits on the path — and what closes the gap.

Let's Talk →