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Agentic AI for healthcare operations

Healthcare, operated by intelligence.

Innova builds AI agents that understand how healthcare organizations work, connect the systems they already run on and carry out administrative work within the rules you set.

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Operations AgentSample run
Policy set · Revenue cycleCompleted

Request

Review this week's pending claims, find the blocked ones and resolve everything within policy.

  1. 01UnderstandGoal: pending claims from the last 7 days
  2. 02ConsultEHR, billing, payer portal and documents
  3. 03Interpret1,284 claims analyzed
  4. 04Identify37 blocked: 29 within policy, 8 need review
  5. 05Act29 claims corrected and resubmitted
  6. 06Validate29 of 29 passed validation rules
  7. 07RecordAudit trail AR-20481 to AR-20509
  8. 08Hand off8 cases routed to the revenue team
4 min 12 s · 0 actions outside permissions

The problem

Healthcare runs on fragmented intelligence.

Every organization already has the data it needs. It lives in the EHR, billing, scheduling, payer portals, documents, inboxes, spreadsheets and legacy systems that were never built to work together.

  • EHR
  • Billing
  • Scheduling
  • Laboratory
  • Payer portals
  • Finance
  • Documents
  • Email
  • Spreadsheets
  • APIs
  • Legacy systems
  • Internal rules
Twelve systems. No shared context.

So people close the gaps by hand.

  1. 01Consult
  2. 02Interpret
  3. 03Copy
  4. 04Validate
  5. 05Decide
  6. 06Execute
  7. 07Check
  8. 08Record

Thousands of times a day.

What the gap costs

  • 01

    Repetitive manual work

    Skilled people re-key, reconcile and chase the same information every day.

  • 02

    Information split across systems

    No single place shows the whole picture of a case, a claim or a unit.

  • 03

    Operational bottlenecks

    Work waits in queues because nobody sees what is blocked until it is late.

  • 04

    Slow decisions

    Leaders get answers days after the question stopped mattering.

  • 05

    Administrative cost that compounds

    Every new system and every new rule adds another manual step.

  • 06

    Data that never becomes action

    The signal is already in the systems. Nothing turns it into work done.

From information to action.

Innova is the layer that understands that data, coordinates the work and acts on it, inside limits your organization defines.

Platform

An AI-native operating layer for healthcare.

One secure layer connects your data, systems and workflows to specialized agents.

  1. 01

    Understand

    Reads structured and unstructured information: records, claims, schedules, PDFs and email.

  2. 02

    Reason

    Weighs context, policies, rules and operating conditions before deciding what to do.

  3. 03

    Act

    Carries out authorized tasks across connected systems, step by step and on the record.

  4. 04

    Learn

    Turns every workflow into structured operational knowledge that sharpens the next decision.

Agents

A specialist for every part of the operation.

Each agent knows its domain, its systems and its limits. Together they cover the administrative work that slows healthcare down.

Operations Agent

Example

Watches the whole operation and catches what is stuck before it becomes a problem.

Monitors

  • Pending items
  • Inconsistencies
  • Delays
  • Stalled processes
  • Repetitive tasks

Request

Show every process stalled for more than 48 hours and resolve the ones within policy.

Outcome

  • 14 stalled processes found
  • 9 resolved under policy OP-2
  • 5 routed to unit managers with full context

Finance Agent

Example

Works the revenue cycle: billing, payments, reconciliation and the documentation behind them.

Monitors

  • Billing
  • Payments
  • Discrepancies
  • Reconciliation
  • Revenue and expenses

Request

Reconcile last month's payer remittances and flag every discrepancy above tolerance.

Outcome

  • 3,912 remittance lines matched
  • 41 discrepancies above tolerance
  • Each one documented with source evidence

Scheduling Agent

Example

Understands calendars, capacity and care rules, and keeps them in balance.

Monitors

  • Schedules
  • Availability
  • Conflicts
  • Cancellations
  • Capacity
  • Booking rules

Request

Rebalance next week's imaging slots across units without breaking a booking rule.

Outcome

  • 212 slots reviewed
  • 18 conflicts resolved
  • 0 booking rules broken

Documentation Agent

Example

Turns documents into structured data that people and systems can act on.

Monitors

  • Reports
  • PDFs
  • Forms
  • Contracts
  • Unstructured text

Request

Extract the authorization numbers from these 400 PDFs and attach them to the matching claims.

Outcome

  • 400 documents read
  • 386 matched and attached
  • 14 flagged for human review

Intelligence Agent

Example

Answers the questions leaders ask, with the evidence behind each answer.

Monitors

  • Delays
  • Inconsistency rates
  • Revenue leakage
  • Unit performance

Request

Where are we losing revenue, and why?

Outcome

  • Top causes ranked by impact
  • Traced to units, payers and steps
  • Recommended actions, ready for approval

Architecture

Built on the systems healthcare already depends on.

Innova does not replace your EHR, billing or scheduling. It connects them through one shared operational intelligence.

  • 01

    Open standards

    Connectors are designed around HL7 FHIR, REST APIs and the Model Context Protocol, and reach legacy systems through documents and files.

  • 02

    Built on Claude

    Innova's agents reason with Claude, Anthropic's family of frontier models, inside Innova's own governance layer.

  • 03

    Your rules, encoded

    Policies and permissions are defined per organization, per agent and per action.

Trust

AI with boundaries.

Healthcare can't be automated without accountability, so accountability is part of the design.

  1. 01

    Human oversight

    Critical decisions stay with people. Agents prepare the work; people approve it.

  2. 02

    Permission-based actions

    Each agent is designed to reach only the systems and actions it has been authorized to use.

  3. 03

    Auditability

    Every action is recorded with the agent, the context and the rule behind it.

  4. 04

    Data protection

    Least-privilege access and encryption in transit and at rest, with data handling designed around LGPD.

  5. 05

    Controlled autonomy

    You decide what runs on its own and what waits for approval.

Audit recordAR-20481Example
Agent
Finance Agent
Action
Claim corrected and resubmitted
Authority
Policy RC-4.2, within limits
Sources
Billing, payer portal, EHR
Approval
Not required
Trace
7 steps, replayable

Awaiting approval

Example

Write-off above policy threshold

Prepared by Finance Agent · Assigned to revenue lead

We don't want AI to replace healthcare professionals. We want it to remove the work that keeps them from what matters.

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Bring intelligence to your operation.

Tell us about your organization and the work you would hand to an agent first. Our team will get back to you.

Prefer email? hello@innovahealthbay.com