Your AI staff

27 agents. 4 pods. Zero new headcount.

Each agent owns one job, reports confidence on every action, and routes anything uncertain to a human. Flip any agent off with one switch — autonomy is yours to dial. The 24 front-line agents below are coordinated by a supervisor layer that routes work across pods — 27 agents in all.

Meet your agents live →
POD 1 · CARE DELIVERY

Clinical Pod

Ambient Scribe

Captures the visit conversation and produces a structured SOAP note in real time.

Note Intelligence

Reviews drafted notes for completeness gaps and documentation quality issues.

Care Gap Hunter

Identifies preventive care gaps against clinical guidelines during the visit.

Risk Scoring

Assigns real-time risk scores to patients based on chronic condition burden and engagement.

eRx Safety

Checks prescriptions for drug interactions, allergy conflicts, and duplicate therapy.

Compliance Monitor

Flags documentation that doesn't meet payer or regulatory requirements before sign-off.

POD 2 · GET PAID

Revenue Pod

Charge Capture

Ensures every billable service is captured from clinical documentation before the encounter closes.

Grounded Coding

Retrieves ICD-10-CM codes from a verified 98,186-code catalog — no hallucinated billing codes.

Denial Prevention

Scrubs claims against payer-specific rules before submission to catch denials before they happen.

Prior Auth

Initiates and tracks prior authorization for imaging, referrals, and procedures automatically.

Revenue Cycle

Monitors A/R aging, flags slow payers, and drafts appeal letters for denied claims.

MIPS Quality

Tracks MIPS performance measures and flags opportunities to improve your quality score.

POD 3 · OPERATIONS

Front Office Pod

Smart Scheduling

Fills cancellations from the waitlist automatically and optimizes slot utilization.

Intake Intelligence

Sends and processes digital intake forms, updating the chart before the visit starts.

Staff Workflow

Routes tasks to the right team member at the right time based on visit context.

Document Triage

Reads inbound faxes and referral documents, categorizes them, and routes to the chart.

Referral Manager

Tracks outbound referrals, closes the loop when results arrive, and flags missing reports.

Refill Queue

Processes refill requests against the active med list and surfaces them for provider review.

POD 4 · GROWTH

Engagement Pod

Patient Outreach

Sends personalized appointment reminders, follow-up messages, and care gap nudges.

Campaign Intelligence

Creates and optimizes patient communication campaigns segmented by diagnosis and behavior.

Review Replies

Drafts HIPAA-safe replies to online reviews for provider approval.

Review Insights

Analyzes review sentiment trends and surfaces operational insights from patient feedback.

Patient LTV

Calculates patient lifetime value and identifies at-risk patients before they disengage.

Recall Engine

Automatically schedules and executes recall campaigns for preventive care and chronic management.

Common questions

What practices ask about the agents

How many AI agents does MedOp have?

27 agents total: 24 front-line specialist agents across the Clinical, Revenue, Front Office, and Engagement pods, coordinated by a supervisor layer that routes work between them.

Do the agents make clinical decisions on their own?

No. Every agent reports a confidence score on its output and routes anything uncertain to a human for review. eRx changes specifically require TOTP-gated two-factor confirmation from a clinician — an agent cannot submit a prescription unsupervised.

Can I disable individual agents?

Yes. Every agent has its own kill switch, independent of the others in its pod. You can run Ambient Scribe and Grounded Coding while leaving Smart Scheduling or Review Replies off, and change that at any time.

How does the ICD-10 coding agent avoid hallucinated codes?

Grounded Coding retrieves from a verified 98,186-code ICD-10-CM catalog rather than generating codes from a language model. A code is always selected from the catalog, never invented, and every selection is logged in the audit trail.

What happens when an agent is not confident in its output?

Low-confidence outputs are routed to a human reviewer instead of being auto-submitted. This applies across every pod — a denial-prevention flag, a coding suggestion, or a drafted note can all be held for review rather than pushed through automatically.

See them work on your schedule

20 minutes. Your real workflows. Book a demo and we'll run your messiest visit type through MedOp live.

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