AI solutions for healthcare billing, denials and reporting inside the systems you already run

Your billing team checks claims, works denials and builds the month-end report by hand. We build AI agents that take the first pass inside your clearinghouse, billing system and EHR, and a person on your team approves anything sent to a payer. Patient data stays in infrastructure you control.

We also build scheduling, patient intake and prior authorization agents, under the same patient data controls. Jason, our COO, runs the call and scopes the first workflow with you.

Agent run: denied claimSample
  1. Remittance read835 file from the clearinghouse, claim 4471 denied with code CO-16
    Done
  2. Cause matchedRendering provider NPI missing on line 2
    Done
  3. Fix draftedNPI filled from your provider roster, corrected claim built
    Done
  4. Biller approvalCorrected claim waits for a person before it goes to the payer
    1 approval
  5. Resubmitted and loggedClaim sent, run entry records the code, the fix and the approver
    Done

What the agent can seeOnly the fields this denial needs. The rest of the chart is never retrieved.

Claim lines and codes
Visible
Remittance reason code
Visible
Provider roster
Visible
Patient name
M. R••••
Clinical notes
Not retrieved
Full medical history
Not retrieved

Illustrative run. Codes, rules and routing are set per workflow during scoping.

Clients include

AudinatePinkcubeBizIQCourserAllClear Travel Insurance

Healthcare AI solutions for each step between the visit and the payment

Pick the workflow that costs your team the most hours. We scope each one as its own build, and the sixth card covers the front office.

Claims

Claim checks before submission

The agent checks each claim against the payer's rules and your own edits before it leaves, and sends it back to a biller with the field that would fail.

How the agent knows each payer's rules
Denials

Denial sorting and appeal drafts

The agent reads every remittance, groups denials by reason code, and drafts the corrected claim or appeal letter with the supporting chart facts attached, for a biller to approve.

How approval gates work
Payments

Payment posting and variance checks

The agent posts what the remittance says was paid, compares it with the contracted amount, and lists every underpayment above your threshold for review.

Built on self-hosted n8n
Documentation

Documentation handoffs

Before a claim is built, the agent finds unsigned notes and open coding queries and sends each one to the clinician or coder who owns it, with the note attached.

How a context layer protects chart data
Reporting

Daily revenue cycle reporting

The agent reads the day's denials, accounts receivable and exceptions, and sends each manager the lines that moved, so a payer change shows up the next morning instead of at month end.

See how a build runs
Front office

Scheduling, intake and prior authorization

The agent places appointments in open slots, reads referrals into your intake queue and assembles prior authorization packets for your staff to submit. Patient questions go to a chat agent whose replies a second agent checks before they send.

How a second agent checks every reply

What a denied claim costs before anyone fixes it

15%

of claims submitted to private payers are initially denied

Source: Premier Inc., survey of 516 hospitals on their 2022 claims (published March 2024)

Premier priced the work that follows a denial. Each figure maps to the step an agent takes on.

54.3% of private payer denials were overturned

More than half were paid in the end, after rounds of appeals. The agent drafts the corrected claim or the appeal with the chart facts attached, and a biller approves it.

$43.84 spent fighting each denied claim

The agent sorts each denial by reason code and puts the known fix in front of the person who can approve it, so your staff start from a draft.

$19.7 billion a year across providers

That is what providers spend adjudicating with payers. Every claim the agent corrects before submission is one fewer denial to work.

Start with the denials that repeat

Denials that come back for the same reason, such as missing information (CO-16), have written fixes and a person to approve them. The AI Audit ranks your candidates by value, effort and risk.

Source: Premier Inc., Trend Alert: Private Payers Retain Profits by Refusing or Delaying Legitimate Medical Claims (March 2024).

Where the agent works in your revenue cycle, and where a person signs

Six steps from a signed note to a reported payment. The agent takes the first pass at each, and every decision that carries money or clinical weight stays with your staff.

  1. Documentation
    AgentFlags unsigned notes and missing fields before the claim is built
    PersonClinician completes and signs the note
  2. Coding
    AgentDrafts codes from the signed note, with the lines that support each one
    PersonCertified coder confirms or changes every code
  3. Claim check
    AgentChecks every field against the payer's rules and your edits
    PersonBiller fixes what the check flags
  4. Payment posting
    AgentPosts the remittance and compares paid with contracted amounts
    PersonReviews variances above your threshold
  5. Denials
    AgentSorts by reason code, drafts the corrected claim or appeal
    PersonBiller approves every resubmission and appeal
  6. Reporting
    AgentSends each manager the denials, receivables and exceptions that moved
    PersonManager acts on the exceptions

Illustrative. Which steps an agent takes, and which thresholds send work to a person, are set per workflow during scoping.

How a billing agent handles patient data in your environment

Every claim line carries protected health information, so the controls sit in the architecture, before a prompt is built.

Minimum necessary

Each task sees only its fields

A context layer between your systems and the agent limits each task to the fields it needs, in line with HIPAA's minimum necessary standard, and masks identifiers it does not need. A denial agent sees the claim lines, the reason code and the supporting note, and never the full chart.

See the context layer
Your infrastructure

Model calls under your agreement, or on your hardware

We deploy on self-hosted n8n inside your cloud or data center, so the workflow, its logs and the patient data it touches stay with you. An external model call carries scoped fields only and runs under your own business associate agreement with that provider, or goes to a model you host. Ovidius does not sign business associate agreements.

Read the healthcare architecture
Sign-off

A person approves, and every run is logged

A biller approves anything sent to a payer, and a clinician signs off on anything clinical. Every run records the record it read, what it changed and who approved it, so your compliance team has something concrete to review.

See AI governance

From the first call to a billing agent in production

One team carries your workflow from scope to the system running in production, and every build is tested in staging before it goes live. See how we work

  1. Jason
    Jason, COO

    AI Audit, if you need one

    Eight phases across strategy, operations, data and systems over 4 to 8 weeks, ending in a ranked 90-day roadmap. The fee is credited toward your first build.

  2. Jason
    Jason, COO

    Scope

    One workflow, the systems it touches and what it will take, agreed before you commit. Owen joins the first calls until you are onboarded.

    • The payers and reason codes in scope
    • The thresholds that send work to a person
    • The timeline, before you sign
  3. Maciej
    Maciej, CTO

    Build

    Built against your real data, in your environment, as production software from the first week.

    • Staging first, on test or de-identified claims
    • Your billers use it on real cases before go-live
    • Self-hosted n8n in your infrastructure
  4. Jason
    Jason, COO

    Integrate

    Into production behind your auth, your governance and your monitoring, with your team trained on it.

    • Separate development, pre-production and production environments
    • Runs behind your own auth
    • Your people trained on the system
  5. Maciej
    Maciej, CTO

    Run and improve

    Watched, fixed and extended in weekly sprints by the engineers who built it.

    • Error alerts to the engineers who built it
    • Weekly sprints that you direct
    • The next workflow, scoped with you

Questions revenue cycle leaders ask about healthcare AI

Ask us something else

Can AI automate medical billing and coding?

AI can automate parts of both, with a person on every decision that carries money. An agent can check claims before submission, post payments from remittance files, sort denials by reason code and draft corrected claims and appeals. For coding, the agent drafts codes from the signed note with the lines that support each one, and a certified coder confirms them. In our builds a biller approves anything sent to a payer.

Will AI replace our billing and coding staff?

Our builds keep a person on every decision. The agent takes the first pass, such as finding why a claim was denied and assembling the paperwork, so your staff spend their time approving drafts and fixing exceptions. Which tasks move to the agent is agreed in the scope.

How does an AI agent help with claim denials?

It reads each remittance as it arrives, groups denials by reason code, matches each one to its known fix, and drafts the corrected claim or appeal letter with the supporting chart facts attached. A biller approves before anything goes back to the payer. In Premier's 2024 survey, 54.3% of private payer denials were overturned in the end, so the appeals are worth working.

Do you sign a business associate agreement?

No, Ovidius does not sign business associate agreements. Any model call that touches patient data runs under your own business associate agreement with the model provider, or goes to a model you host, and the context layer passes it only the fields the task needs. The workflow itself runs on self-hosted n8n in your cloud or data center.

What does an agent need from our clearinghouse and billing system?

Read access to what your systems already produce: 837 claim files and 835 remittance files from your clearinghouse, your billing or practice management system through its API or a database view, and the payer rules your team works from. The AI Audit confirms what each system allows before anything is quoted.

Do you also build scheduling and intake agents?

Yes. An agent can place appointments in open slots, read referrals into your intake queue, assemble prior authorization packets for your staff to submit, and answer patient questions through a chat agent with a second agent checking each reply. They run under the same patient data controls as the billing agents, and the first one can start as an AI pilot.

How much does a healthcare AI build cost?

Each workflow is priced in a written scope before you sign. If you start with the AI Audit, it costs $10,000 to $100,000 depending on scope, takes 4 to 8 weeks, ends in a ranked 90-day roadmap, and its fee is credited toward your first build.

Which revenue cycle workflow should we automate first?

The one with the most volume and the clearest written rules, usually denials that repeat for the same reason or claim checks against known payer edits. If you already know which, book a discovery call and Jason scopes it with you. If you have several candidates, the AI Audit ranks them by value, effort and risk.

Industries with the same claims, payments and protected records

If your team also works insurance claims, reconciles payments or keeps records under privacy rules, these pages cover the workflows next to yours.

Insurance

AI for insurance agents

Quote intake, renewals, certificates and claims intake for agencies, brokers and MGAs, with a licensed person approving coverage.

See AI for insurance agents
Finance

AI in accounting

Bank reconciliations, close files, tax workpapers and client documents, prepared for an accountant to sign off.

See AI in accounting
Education

AI in higher education

Admissions, transfer credit, financial aid and student questions, with staff approving every decision.

See AI in higher education
Legal

AI for lawyers

Conflict checks, contract review against your playbook and pre-bills, with a lawyer approving every output.

See AI for lawyers

Read more before you book

Prove

AI pilot

A working proof of concept on your own claims or denials, before you commit to the full build.

See the AI pilot
Architecture

A context layer for protected healthcare data

How we design what an agent may read in a protected healthcare environment, layer by layer.

Read the article
Decide

AI Audit

Eight phases across strategy, operations, data and systems, ending in a ranked 90-day roadmap.

See the AI Audit

Put your first workflow on the board

Answer a few questions about your team and what you want automated, then Jason scopes it with you on the call.

Owen, Maciej, Jason, Oskar and Ben