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Manage Your AI Risks with GM3 AI Governance Operating Model

Fixed-fee AI Governance Readiness Assessment. Six weeks. A scored NIST AI RMF baseline, a ranked gap register, and a costed 12-month roadmap.

Practitioner-led Implementation of NIST AI RMF End-to-End As per the Playbook

  • Dell
  • HP Business Partner
  • Everbridge

AI is already in your organization

Vendors have embedded it in your tools and teams are experimenting with it — whether or not anyone approved it.

The compliance floor is rising

NIST AI RMF alignment, ISO/IEC 42001, Executive Order requirements, and GSAR 552.239-7001 are converging on the same expectations, on fixed dates.

Nobody can answer the first question

The one your auditor, board, or contracting officer will ask: what AI is in use, and who is accountable for it?

Not a slide deck of recommendations. A defensible baseline.

AI System Inventory

Every AI use case in scope, cataloged with owner, purpose, data sensitivity, and vendor dependency — the artifact every framework starts with and most organizations lack.

Maturity Scorecard

Your posture scored against the four NIST AI RMF functions — Govern, Map, Measure, Manage — so leadership sees one number per function and what the next level costs.

Gap Register

Every gap ranked by risk and regulatory exposure, each with a named owner recommendation and remediation effort estimate. Board-ready and auditor-legible.

12-Month Roadmap

Sequenced, costed, and mapped to the frameworks that apply to you: NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, EO requirements, GSAR.

Executive Readout

A 60-minute briefing for leadership, in business language, with the three decisions that matter most and what each costs to defer.

Fixed fee. Six weeks. Your team’s total commitment: 12–15 hours. We do the work; you make the decisions. See the full offer →

Sample maturity scorecard page: four NIST AI RMF functions scored 0 to 5 with evidence references. Fictional data. AI GOVERNANCE READINESS ASSESSMENT Maturity Scorecard — NIST AI RMF Meridian Mutual Insurance (fictional) · Scale 0–5: Absent → Improving 2 DOCUMENTED GOVERN Policy exists; intake gate not firing (DOC-04, INT-0 3) 1 AD HOC MAP No AI inventory; 9 of 14 systems found in interviews (INV-01) 1 AD HOC MEASURE Vendor accuracy claims unverified (INT-05, DOC-11) 2 DOCUMENTED MANAGE Risk register has zero AI entries (INT-06) Every score traces to evidence-log references. All data shown is fictional.
Sample deliverable — fictional data
Sample gap register page: top three findings ranked by risk with framework references, effort bands, and owners. Fictional data. AI GOVERNANCE READINESS ASSESSMENT Gap Register — Top Findings by Risk Meridian Mutual Insurance (fictional) · 3 of 17 findings shown G-01 HIGH Claims-triage model (L3) has no internal accuracy or dispari ty testing RMF MEASURE 2.x · Effort M · 4–6 wks · Owner: Chief Actuary Regulatory exposure documented · Roadmap: Q1 G-02 HIGH No AI system inventory; 5 shadow systems found in interviews RMF MAP 1.x · Effort S · 2 wks · Owner: IT Asset Mgmt Regulatory exposure documented · Roadmap: Q1 G-03 HIGH Chatbot incident left no record; no escalation path for AI m isbehavior RMF MANAGE 4.x · Effort S · 1–2 wks · Owner: Risk Officer Regulatory exposure documented · Roadmap: Q1 Ranked by risk and regulatory exposure. All data shown is fictional.
Sample deliverable — fictional data

The assessment doesn’t end in a binder. It ends in ForteAI.

A living AI governance register with an autonomy-to-governance coupling engine that flags risk automatically: when a system’s autonomy outgrows your governance maturity, the gap appears on its own — before an incident makes it visible for you.

Explore ForteAI →

12 questions your auditor will ask about your AI program.

Score yourself in five minutes. Free checklist, mapped to the NIST AI RMF.

Take the self-test

Bring your two hardest AI governance questions.

A 30-minute scoping call. We’ll tell you honestly whether the assessment answers them — and if it doesn’t, where to go instead.

Book a scoping call