Revenue Cycle AI · Autonomous RCM

Upstream capture.
Not downstream cleanup.

Most RCM products start at billing. Revenue Cycle AI starts at booking. Eligibility verified before the visit, denials worked continuously instead of weekly, patient balances recovered 24/7 through Luna. The revenue stops leaking, because it never makes it to the leak.

2 to 4%
Of NPR recovered in year one
94%
First-pass denial resolution
<24 hr
Denial turnaround
24/7
Balance recovery via Luna
What Revenue Cycle AI does

The money doesn't leak if you catch it upstream.

Legacy RCM is a downstream game: claim goes out, claim comes back denied, team works the denial queue. Revenue Cycle AI inverts the model. Eligibility and coverage captured at booking. Denials prevented before they exist. The queue shrinks.

01

Eligibility at booking, not at billing

Real-time eligibility verification the moment the appointment is booked. Commercial and Medicare 95%+ coverage. The denial gets prevented, not worked.

02

Denials worked continuously, not weekly

Legacy teams batch denials for Friday review. Revenue Cycle AI works every denial as it lands. 94% first-pass resolution, sub-24 hour turnaround.

03

Patient balance recovery, 24/7

Outstanding patient balances worked through Luna, 24/7. Payment plans offered, portal links sent, live handoff when requested. Recovery without the collection agency.

04

Prior authorization: assisted, not overclaimed

Prior auth is the hardest automation problem in RCM. We automate where payer rules are reliable and route to human review where judgment is needed. Honest beats overclaim every time.

Production outcomes

Year-one revenue that was already yours.

Two to four percent of net patient revenue is the industry leakage rate. Revenue Cycle AI recovers it in the first year of deployment. That is revenue that was already yours, just not getting collected.

2 to 4%
Of net patient revenue recovered in year one
94%
First-pass denial resolution
<24 hr
Denial turnaround
15%
Clean-claim rate improvement (portfolio avg)
How it works

From booking to closed claim.

Revenue Cycle AI runs across the full lifecycle. Not as a billing bolt-on, but as an agent present at every step.

01
Booking

Eligibility verified in real time. Visit type routed to the correct payer category. Prior auth surfaced before it delays the visit.

02
Encounter

Codes suggested by SteerNotes are cross-checked against payer rules and local coverage determinations. The claim goes out cleaner.

03
Submission

Clean-claim rate up. Denials prevented upstream. The ones that do come back get worked continuously, not weekly.

04
Patient balance

Once the payer pays, outstanding patient balances are recovered 24/7 through Luna. Payment plans, portal links, live handoff when needed.

Customer proof

Two to four percent recovered.

PhyNet Dermatology · 82 locations · PE-backed
"We stopped thinking about RCM as a backend cleanup problem. It's a front-end capture problem, and it shows up in the margin."
Operations leader, PhyNet Dermatology
15%
clean-claim rate improvement
+18%
margin per provider, year one

Revenue Cycle AI runs on SteerBrain, informed by the rest of the workforce.

The claim is cleaner because AI Front Door verified eligibility at booking. The codes are more accurate because SteerNotes reasoned across the full patient record. The balance is recovered because Luna can call the patient. Every agent feeds the claim, and the claim closes itself.

Stop leaking. Start collecting.

See Revenue Cycle AI running against your payer mix, denial categories, and AR profile. Most deployments start recovering in the first 60 days.