AI & Intelligence
AI Revenue Intelligence
Machine learning that predicts denials before submission, prioritizes A/R by recovery probability, and finds patterns humans miss.
The platform at work
Watch a morning's claims meet the models
Pre-submission denial risk scoring
- CLM-4821399214 · est. $186risk 87%
→ Routed to review — auth mismatch
- CLM-4821497110 ×3 · est. $142risk 64%
→ Routed to review — unit pattern
- CLM-4821599396 · est. $205risk 12%
→ Cleared for submission
- CLM-4821693000 · est. $58risk 8%
→ Cleared for submission
- CLM-4821720610 · est. $312risk 71%
→ Routed to review — LCD check
3 of 5 claims corrected before submission · est. $640 in denials prevented this batch
90-day deposit forecast · with confidence band
projected: $412K ± 4% next 30 days
▲ ANOMALY · Meridian Health Plan
99214→99213 downcoding, 38 of last 41 claims · est. −$4,830/mo
▲ RECOVERY · queue re-ranked
$86K likely-recoverable moved to top of A/R worklist
every alert reviewed by a certified analyst before action
Want this running on your practice's data? A live walkthrough takes 30 minutes.
Book a live demoBusiness outcomes
What this changes for your organization
AI Revenue Intelligence · performance standards
measured continuouslyfewer denials with pre-submission scoring
more recovered per A/R work hour
not quarters, to detect payer changes
Days
Performance standards we operate to. Actual results vary by specialty, payer mix, and starting position — your free assessment establishes your own baseline.
Denials prevented, not just worked
Pre-submission risk scoring stops revenue loss before it starts — every high-risk claim is corrected by a specialist before a payer ever sees it.
Every work hour aimed at real dollars
Recovery-probability ranking means your follow-up effort lands on the accounts most likely to pay, not just the oldest ones.
Payer changes caught in days
Anomaly detection surfaces quiet policy shifts, downcoding, and new edits while they're still a few claims old — not a quarter's worth of losses.
Cash flow you can plan around
Forecast models convert your claims pipeline into a dependable forward view of deposits — payroll, expansion, and equipment decisions get real numbers.
Our solution
Your billing data contains patterns no human team has time to find: the payer that quietly started downcoding one CPT, the referring provider whose patients always need auth, the claim profile that gets denied 4x more often. Our AI layer finds them.
Denial prediction models score every claim before submission and route high-risk claims for human review. Recovery models prioritize A/R work queues by expected value, not just age. Anomaly detection flags payer behavior changes within days instead of quarters. Every model's output goes through expert review — AI prioritizes, humans decide.
What's included
- Pre-submission denial risk scoring
- A/R prioritization by recovery probability
- Payer behavior anomaly detection
- Underpayment pattern identification
- Cash flow forecasting models
- Human expert review of every AI recommendation
In the field
How organizations like yours use it
USE CASE 01
A multi-specialty group cut denials 31% in one quarter
Risk scoring flagged an authorization-mismatch pattern concentrated in two referring offices. The model caught it claim by claim while our team fixed the intake workflow that caused it.
USE CASE 02
A cardiology practice recovered a silent $58K underpayment
Anomaly detection noticed one payer's allowed amounts drifting 4% below contract on echo codes — invisible in monthly totals, obvious to the model. An underpayment project recovered it.
USE CASE 03
An urgent care chain rebuilt staffing around forecasted volume
Deposit and volume forecasts by location let the group align front-desk staffing and cash reserves with reality — ending the end-of-month surprise cycle.
Scenarios drawn from typical engagement patterns; identifying details anonymized to protect client confidentiality.
Common questions
AI Revenue Intelligence, answered
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Ready to fix ai revenue intelligence for good?
Start with a free consultation and billing health check. A senior consultant will look at your numbers and give you a straight answer about what we can improve — and by how much.