Operator vertical
AI for Medical Billing, Denials & Prior Auth
Denial prediction, prior-auth packet assembly, and payer-policy RAG for billing companies, DSOs, and specialty groups. Ops AI, not clinical diagnosis.
Built for: VP RCM or Billing Director at a DSO, specialty group, or medical billing company
What breaks before AI
- Denials show up after the money is gone
- Prior auth is a PDF scavenger hunt
- Appeals use generic letters, not payer policy
- Clinical AI vendors pitch the wrong problem
Ops-only RCM AI—denials, packets, policy RAG. No diagnostic claims. Faster ROI, lower liability surface.
Workflow pages operators search
Each page owns a specific job-to-be-done query. Start with the bottleneck that hurts this quarter.
Denial prediction
Search: denial management AI
Score claims before submission and fix the ones likely to bounce—before days in A/R pile up.
Prior-auth packets
Search: prior authorization automation
Assemble clinical and admin docs against the payer checklist so staff stop hunting PDFs.
Payer-policy RAG
Search: payer policy RAG medical billing
Retrieve current policy language with citations so appeals are specific—not templated.
Charge capture assist
Search: charge capture AI medical billing
Surface likely missed charges from notes for coder review—not autonomous coding theater.
Business outcomes AI can move
- Prevent denials before the claim drops
- Cut days in A/R on prior-auth heavy specialties
- Raise first-pass yield without adding billers
- Draft appeals grounded in the payer policy, not a generic letter
AI capabilities
Each capability maps to a business KPI, revenue, cost, risk, or cycle time, not model accuracy on a slide.
Revenue
Denial prediction
Score claims before submission and route the ones likely to bounce back for a human fix.
Cost
Payer-policy RAG
Retrieve the current policy language with citations so appeals are specific, not templated.
Risk
Governed health-ops AI
Audit trails, no diagnostic claims, human review on anything that touches medical necessity language.
Cycle time
Prior-auth packet agents
Assemble clinical and admin docs against the payer checklist so staff are not hunting PDFs.
Production use cases
- Denial prediction and appeal drafting
- Prior authorization document packets
- Charge-capture from unstructured notes
- Payer-policy retrieval for billers
How to engage
Start bounded. Scale only when the KPI moves.
Denial / prior-auth diagnostic
From $7,500Baseline first-pass yield and packet cycle time; pick the first mandate.
Scoped production mandate
From $15kDenial scoring or prior-auth packets live in 6–10 weeks.
Embedded partnership
From $25k/moExpand payers and specialties with your RCM team.
Frequently asked questions
Is this clinical AI?
No. We do not diagnose. We automate billing ops: denials, packets, and policy retrieval. Lower regulatory surface, faster ROI.
How do you scope AI for our industry?
Week-one discovery locks business KPIs—revenue, cost, risk, or cycle time—not model vanity metrics. We map your data sources, compliance constraints, and existing stack, then propose a fixed-scope mandate with acceptance criteria or redirect you to a simpler path.
Do you have experience in our sector?
Proven depth sectors (financial services, federal, real estate, telecom, higher education) reflect production systems we've shipped. Growth and operator verticals (MGAs, credit unions, property management, 3PL, RCM, staffing, licensed iGaming, FFL) are selective mandates where those patterns transfer with industry-specific tuning. Biotech, insurance, and regulated work often runs under NDA.
What do we get at the end of an engagement?
Deployable code in your repos, monitoring and runbooks, documentation your team can operate, and knowledge-transfer sessions. The Production Standard is contracted in writing—no handoff to a junior bench after the sale.
What's the fastest way to start?
Book a discovery call or start with a bounded diagnostic: $2,500 Postgres audit, insurance claims-fraud diagnostic from $7,500, or the free MLOps readiness assessment. Each path surfaces whether AI is the right tool before a larger commitment.
The Production Standard
The Production Standard
Six commitments contracted in writing on every engagement.
01
Deploy or redirect
If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.
02
Metrics before models
Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.
03
Governance from day one
Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.
04
Production artifacts
Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.
05
6-week production target
Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.
06
Capability transfer
Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.
Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.
Selective intake · 2026
Your next system shouldship to production.
Agentic development from architecture through deployment, with the Production Standard contracted in writing.