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Higher reimbursement. Lower fees. AI agents that automate the work and put the power back in the hands of treatment centers and the billing partners who serve them.
The payers are coming after our industry. We're building the technology to fight back. Charting, documentation, manual input, chart audit, coding, claims, denials, appeals — all automated. Clinicians focus on care. Billers focus on the hard cases. Customers get paid on time, seamlessly.
Why now
Denial rates in behavioral health are the highest of any clinical category. Prior authorization volume is climbing. UR cycles get longer. Underpayments stack up because no one has time to chase every contract violation. Billers burn out fighting fights that should never have been fights.
The asymmetry is structural — payers run automated systems against your manual workflows. The way to even the field is to bring the same level of automation to the provider side. That's what Agentic RCM is.
And we're building it the way Navix builds everything: with our customers and our billing partners, not for them. The workflows your team runs today shape the agents we ship in 2027.
For Treatment Centers
AI Coding Suggestions catch the codes you're entitled to bill — pulled directly from clinical documentation. AI Chart Audit catches the documentation gaps that cause denials before claims go out.
Automation does the manual work. The savings flow back to you — not to a billing company that's charging 6–10% to do what an agent now does.
Claims build themselves from the EMR. Submission, follow-up, rejection analysis, and resubmission all happen on autopilot. No more 60-day denials sitting in someone's inbox.
Authorizations Assistant drafts ASAM/LOCUS-aware UR. Denial management agents pull the documentation, write the appeal, and route the right human to sign. The asymmetry that payers exploit gets erased.
For Billing Partners
We're not building Agentic RCM to replace billing companies. We're building it to make billing companies dramatically more powerful. Your domain expertise, your client relationships, your judgment on edge cases — combined with agents that handle the volume.
Your billers focus on the cases AI can't close — complex denials, payer escalations, contract negotiations. The repetitive work runs without them.
AI handles 10× the claim volume per biller. More clients, same headcount, same quality.
Agentic RCM is being designed in the open with billing partners across the country. Your workflows, your edge cases, your contract terms inform the agents.
When you bring AI-native billing to your treatment-center clients, you bring something the competition can't match.
The Platform
Targets for the 2027 launch. The order and depth ship as our partners and customers tell us what they need first.
NavixScribe writes the note from the session. The chart populates without manual data entry. The data the RCM needs is already there before the encounter ends.
Every chart audited continuously — not at discharge. Documentation gaps, missing signatures, weak medical-necessity language all flagged for the clinician before they become denials.
Codes pulled from the actual documentation. Modifiers applied where the chart supports them. Coding accuracy without a coder reviewing every claim.
ASAM/LOCUS-aware UR drafts assembled from the chart. What used to take a UR coordinator 30–60 minutes per case becomes a 5-minute review-and-submit.
Claims constructed from the EMR. Edits applied per payer rule set. Submission, ERA reconciliation, and rejection routing handled by agents.
Denials triaged, root cause identified, appeal drafted with the chart evidence. The system does the documentation work; the human signs and sends.
Every payment compared against contract terms. Underpayments surfaced, appeals queued, lost revenue recovered.
Live AR, days-to-payment, denial rates by payer, contract performance — at the chart level and the network level. Leadership operates on current data, not month-old reports.
Launching 2027
Treatment centers and billing partners shaping Agentic RCM today get launch-week priority, design influence, and the first agents calibrated to their workflows.