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Revenue cycle AI

Denials prevented, appeals won and rework capacity returned.

For health system CFOs, revenue cycle and operations leaders. Values prevention and recovery at net reimbursement — not billed charges — so the case survives finance review.

Your inputs

Benchmarks show typical enterprise ranges — override every field with your own numbers.

Benchmark: 500k–3M for a multi-site health system

Collectable amount, not billed charges

Benchmark: $350–$900 depending on payer and service mix

9.5%

Benchmark: 8–12% is the common enterprise band

40%

Coding, eligibility, authorisation and registration errors AI can catch

Benchmark: 30–50% of initial denials

55%

Benchmark: 45–65% on appealed claims

12 pts

Better evidence assembly and payer-specific argument structure

Benchmark: 8–15 points

Benchmark: 25–45 minutes end-to-end

Benchmark: $32–$48 in US health systems

Used to value the working-capital benefit of faster rework

Benchmark: 40–55 days

Annual revenue impact
$33,551,493

Prevented denials, incremental appeal wins, rework capacity returned and the carrying value of faster cash.

Denials prevented at submission53,200 / yr
Additional appeals won9,576 / yr
Rework capacity returned19,152 hrs (10.6 FTE)
Working capital benefit$499,397 at 46d A/R
Simple payback0.3 months
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Directional estimate. Prevented denials are valued at expected collection, not billed charges. Assumes 45% of denial rework is automatable in the expected case, 3.5 days of A/R recovered at a 6% cost of capital, and a $750k programme investment.

Three-scenario view

Finance reviewers expect a range. These scenarios flex adoption and implementation cost around the model you entered.

Conservative
$22,994,102
0.5 mo payback

Slower adoption, higher integration effort

Base caseYour inputs
$33,551,493
0.3 mo payback

Your inputs as entered

Aggressive
$40,425,997
0.2 mo payback

Strong sponsorship, clean data, phased scale-up

How enterprise leaders use this model

Where does AI actually reduce denials?
Three places. Pre-submission edits catch coding and eligibility errors before the claim leaves. Denial classification routes the appealable ones to the right worklist instead of a queue. Drafted appeal letters with the clinical evidence attached lift win rates on the ones worth fighting. The first is prevention, the other two are recovery.
Why value write-offs rather than billed charges?
Billed charges overstate everything. A prevented denial is worth its expected collectable amount, and a won appeal is worth the net reimbursement minus the cost of working it. This model uses average reimbursement per claim, not gross charges, so the number survives a CFO review.
What denial rate should we compare against?
Initial denial rates commonly run 8–12% of claims, with roughly two-thirds of denials technically appealable but under half actually appealed because of rework capacity. That gap between appealable and appealed is usually the largest recoverable pool.
How does this affect days in A/R?
Faster classification and drafted appeals shorten the rework cycle, which pulls cash forward. This model values that separately as a working-capital benefit at your cost of capital — it is real, but it is one-time, so it should not be reported as recurring savings.