AI Diligence // Healthcare services # The AI is in the chart. The risk is in the reimbursement. Ambient scribes, coding automation, prior-auth bots, triage tools. In healthcare services the AI sits inside the revenue cycle and the clinical record — which means an AI finding is never just an IT finding. It's revenue integrity, regulatory tail, and PHI exposure. Book a scoping call → What typically breaks ↓ The confirmatory assessment — the actual product, not a mockup. 01 // The four surfaces ## Four surfaces, read for this sector. The method doesn't change. What changes is where the risk concentrates — and in healthcare services, it concentrates hard. Operational — why it matters Coding and prior-auth automation sits directly in the revenue cycle . A drifting model is a denial rate, not a bug report. Product — why it matters Clinical-facing AI can be a regulated device . If it's making a claim about care, someone has to own that claim. Market — why it matters As AI cuts cost-to-serve, payers reprice . The margin you're underwriting may be temporary by design. Financial — why it matters In healthcare the tail is the deal: PHI in a training set is an indemnity , not a footnote. 02 // The failure modes ## What typically breaks in healthcare services. These are the findings we look for first — ranked by how often they turn up, and what they hit when they do. Frequency reflects what we look for and how often it surfaces in this sector — not a published benchmark. Sector baselines are built from completed engagements and released only when the sample supports them. 03 // One finding, priced ## A finding is only real when it has a number. The finding Value at risk What it becomes Prior-auth automation trained on a payer ruleset that changed 14 months ago $4.8M Price reduction · escrow pending revalidation Why it matters Denial rate degradation not yet visible in the P&L Illustrative finding · representative of this sector, not a specific client engagement. 04 // How you buy it ## Screen fast. Then go deep. Pre-LOI ### Flash Screen A go/no-go read before the diligence budget commits. ≈ 10 SME hours included - Composite score and red-flag triggers - Sector failure modes checked first - Screen memo: proceed, price, or pass Confirmatory ### Full Assessment The IC-defensible read, sized to your window. ≈ 70 SME hours included - All eight weighted domains, evidence-linked - Management and technical interviews - Findings → terms working session - IC readout and 100-day plan input Sector Healthcare services → Sector Software / SaaS → Sector Insurance & financial services → Sector Industrials & distribution → Sector Business & professional services → Sector AI infrastructure & specialty industrials → Sector Payments & fintech → ## Don't sign for AI you haven't seen. Bring us the target. We'll score the AI behind it — with the healthcare services failure modes checked first — and hand your deal team the price, the terms, or the walk. Book a scoping call →