Coding, CDI & denial prevention
TodayCoding gaps and thin documentation cause avoidable denials.
OpusReviews the encounter, flags gaps, and routes complex cases to a coder.
Healthcare Provider
Discover where AI actually belongs in your health system.
Opus builds a live model of how your revenue-cycle, clinical documentation and patient-access work really runs: your Digital Twin, mapped live with your clinical and revenue-cycle teams. Then it puts AI to work, with a person on every decision that affects a patient.
Use cases
How healthcare provider teams use Opus
Some examples of the high-volume workflows teams hand to Opus, across the revenue cycle, patient access and clinical admin.
Claims & denial recovery
TodayDenials worked by hand, many never recovered.
OpusPreps and submits claims, classifies denials, and drafts the appeal for resubmission.
Prior authorization
TodayRequests assembled and chased by hand, delaying care.
OpusGathers the clinical and payer data, prepares the request, submits it, and tracks status to resolution.
Patient registration & intake
TodayRegistration data keyed and checked by hand.
OpusValidates incoming data, cross-checks records, pre-populates registration, routes exceptions.
Clinical documentation & EHR update
TodayNotes and EHR fields finished by hand after every visit.
OpusTurns your existing tool's transcript into a structured EHR note, for a clinician to sign off.
Provider credentialing
TodayLicenses and credentials tracked across spreadsheets and inboxes.
OpusValidates documents, verifies licenses, flags expirations, submits enrollment packets.
The problem
You've added AI in different places. You still can't tell what's working.
Providers aren't short on AI: a scribe for notes here, a prior-auth bot there, a coding tool over there. But each one solves its own slice, and none of them shows you how the work actually runs end to end. So you still can't tell which ones move your margin, which give clinicians their time back, or where the next dollar of AI actually pays. That's the gap Opus closes.
How it works
How it works differently
See the work as it really runs, and know the value of a change before you make it.
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03 · Build, run & optimise
Most tools just automate your process exactly as it runs today
Opus redesigns it for AI first, then runs the better version, so you're improving the work, not just speeding up a flawed process. A person stays on every decision that affects a patient, and it keeps learning after go-live.
FAQ
Straight answers.
Is our data secure and compliant?
Built for HIPAA-regulated patient data, deployable in your own cloud, private cloud, or on-prem, with every action logged and auditable.
Does Opus replace our EHR or core systems?
No. Opus is an operating layer on top of your existing stack — Epic, Cerner, athenahealth and the rest — designed to integrate, not replace.
Isn't this just another AI tool on top of the ones we already have?
No — that's the whole point. Your scribe, coding and prior-auth tools each handle one slice. Opus is the layer that maps how the whole operation runs, works across those tools, and shows you where AI actually pays.
Are we locked into one AI model?
No. Opus is model-agnostic — use any model, or several.
Will it disrupt patient care or live operations?
No. Start with one workflow, run it in parallel with a person in the loop, and scale once it's proven.
Who stays accountable for clinical decisions?
You do. Opus routes exceptions to your clinicians and coders and logs every step, so control and accountability stay in-house.
See Opus on your Healthcare Provider workflow.
Book a working session and we'll map one of your workflows live.