AI GOVERNANCE GAP ASSESSMENT
Know exactly where your AI governance stands — and what to do about it
A 4–6 week structured assessment of your healthcare AI governance posture against federal framework, state law, and accreditation program that applies. You walk away with a quantified maturity score, a prioritized gap register, and an executive-ready remediation roadmap.
Why a gap assessment, why now?
9
Federal & global frameworks on AI Governance
38+
State AI healthcare laws enacted
22
States with effective AI requirements
Compliance officers are being asked harder questions in 2026 than they were in 2024. Boards want to know: where are we exposed under Section 1557? Could we pass an OCR algorithmic-discrimination review? Are we URAC-ready? Where do we actually stand on the EU AI Act?
Few healthcare enterprises can answer those questions with evidence. Most have AI inventories spread across spreadsheets, governance policies that lag behind state-law changes, and bias testing performed by individual teams rather than as institutional practice. The gap isn't a documentation problem. It's structural.
An independent gap assessment gives you the answer — not a vendor pitch, not a self-serve scoring tool, but a structured analysis of what you have, what you're missing, and what to fix first. The output is defensible: in front of your board, in front of regulators, in front of payer compliance teams asking for evidence in advance of contract renewal.
How the AI Governance gap assessment works
Discovery (Week 1)
Stakeholder interviews with your AI governance lead, compliance officer, CISO, clinical leadership, and procurement teams. Inventory of current AI systems and vendor relationships. Document review: governance charters, risk policies, incident logs, training records, prior audit findings, and any in-flight remediation work.
Gap Analysis & Prioritization (Week 4)
Quantified maturity score by framework and overall. Gap register ranked by enforcement risk, patient-impact severity, and implementation effort. Cross-framework analysis identifies controls that, if implemented once, satisfy multiple frameworks — concentrating remediation effort where it has the highest leverage. (In our experience, the top 20 controls satisfy roughly 70% of cross-framework requirements.)
Current State Assessment (Weeks 2–3)
Structured evaluation against 100+ controls spanning the nine federal and global frameworks (ONC HTI-1, NIST AI RMF, ISO/IEC 42001, OCR Section 1557, DOJ Corporate Compliance, JC/CHAI RUAIH, URAC, DirectTrust AIAP, EU AI Act) plus the state laws applicable to your deployment footprint. Each control receives a maturity rating: Not present · Ad hoc · Documented · Operating · Optimized.
Roadmap & Executive Briefing (Weeks 5–6)
A 12-month remediation roadmap structured into 30/60/90-day priorities and longer-horizon work. Final deliverable includes a written report, a board-ready executive briefing deck, and a live working session with your leadership team to walk through findings, prioritize tradeoffs, and answer questions in the room.
What you walk away with
Book a scoping call
Elevate Your Enterprise AI Strategy: Comprehensive Risk Assessment for Safe, Effective AI Integration
We'll walk through your AI portfolio, your regulatory exposure, and the questions you most need answered. Leave with a recommendation on which assessment option fits. No commitment