AI Governance Consulting Decision Framework
How to choose the right AI governance consulting firm — framework depth, platform integration, vertical experience, deliverables, and cost benchmarks.
Frequently Asked Questions
What should we evaluate first when choosing an AI governance consulting firm?
Framework depth — does the firm actually implement recognized standards or does it invent proprietary frameworks that lock you in? Best-fit firms deploy NIST AI RMF 1.0, EU AI Act compliance, ISO/IEC 42001 (AI Management Systems), and where applicable industry-specific frameworks (HIPAA AI guidance, SR 11-7 for banks, NAIC AI Model Bulletin for insurance). Firms selling their own proprietary framework as the 'solution' are a red flag — regulators want to see recognized standards, not vendor-specific.
How does platform integration factor in?
AI governance without platform integration is just a document. The AI governance framework has to actually be enforced by controls in the AI platforms your organization uses. Microsoft-shop enterprises need firms with deep Microsoft Purview + Copilot governance + Copilot Studio + Azure OpenAI experience. Google Cloud shops need Vertex AI governance + Google Model Armor experience. AWS shops need Bedrock governance + Guardrails experience. Multi-cloud enterprises need firms with experience across all three. Test in the sales cycle: 'show me a governance framework document you deployed on my exact stack.'
What vertical experience matters?
Six verticals have materially different AI governance requirements. (1) Healthcare — HIPAA + PHI handling + FDA AI/ML guidance. (2) Financial services — SR 11-7 model risk + FINRA + OCC AI + GLBA. (3) Federal — FedRAMP High + CMMC + CUI + FOIA + Executive Orders 14110/14179 (AI-specific). (4) Insurance — NAIC AI Model Bulletin + state-specific rules (Colorado, NY DFS, California AB-2013). (5) Life sciences — FDA 21 CFR Part 11 electronic records + GxP. (6) Legal — attorney-client privilege + work-product doctrine. Firms without vertical-specific experience add cost and reduce success probability for regulated organizations.
What deliverables should the engagement produce?
Six categories. (1) AI Governance Framework document — NIST AI RMF / EU AI Act / ISO 42001 mapped. (2) AI Portfolio Inventory — every AI use case + risk tier + owner. (3) Sensitivity + Retention Label Taxonomy for AI-affected content. (4) Platform-specific controls deployed (DLP for Copilot policies, Vertex AI evaluation frameworks, Bedrock Guardrails). (5) Incident Response Runbook for AI-specific incidents (oversharing, decisioning failure, agentic action reversal). (6) Board / audit reporting template. Firms delivering fewer than these six categories are not producing a complete governance program.
What does AI governance consulting cost?
Baseline engagement (mid-market enterprise, single platform): $75K-$250K for a 3-6 month program producing the six deliverables above. Multi-platform engagements (Microsoft + Google + AWS): $250K-$800K. Enterprise with full AI CoE build integration: $500K-$1.5M over 6-12 months. Vertical-specific overlays (banking, healthcare, federal) add $50K-$150K. EPC Group offers fixed-fee accelerators for common scopes; larger engagements custom-scoped after discovery.
Talk to a senior architect
Email contact@epcgroup.net or call 888-381-9725.
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