2026 EDITION · BENCHMARK ACROSS 14 HEALTH SYSTEMS

The CFO's Playbook for AI in the Revenue Cycle.

What separates revenue cycle teams that recover 95%+ of earned dollars from those leaving millions on the table. 32 pages. One benchmark. Zero fluff.

1–5%

Increase in realized revenue

80%

Reduction in cost to collect

48h

Encounter to clean claim

70%

Fewer claim denials

WHAT'S INSIDE

Five questions every CFO should be able to answer.

A practical, benchmark-backed read for finance and RCM leaders evaluating where AI fits in the revenue cycle — and where it doesn't.

The 2026 benchmark across 14 health systems

The full dataset — so you can see exactly where your team stands against peers on clean-claim rate, denial rate, and earned-dollar recovery.

The five points in the mid-cycle where earned revenue leaks

Medical necessity, coding gaps, DRG downgrades, prior auth, and underpayment — mapped to where the dollars actually go missing.

What "autonomous coding" actually means — and what it doesn't

A plain-language breakdown that cuts through vendor marketing, so you can tell a real capability from a slide.

The CFO's framework for evaluating AI coding vendors

The diligence questions, the metrics that matter, and the red flags — a scorecard you can take straight into vendor calls.

How leading teams reached 95%+ earned-dollar recovery

The operating moves behind top-quartile results, drawn from the benchmark and cleared case studies.

PROVEN OUTCOMES

$1.48–1.63M

MFM practice result

Net revenue recovered for a maternal-fetal medicine practice after switching to specialty-aware AI coding.

$305–357K

Surgical urology recovered

Closed the same leak in a higher-complexity specialty — no added coders.

10.1%

Urgent / primary care RVU uplift

Documented work captured that manual review was leaving behind.

See RapidClaims run against your own charts and denials. Book a 30-minute working session with our coding team.