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Medical operations agent workforce

A governed AI workforce for healthcare operations.

OpsMed shifts repeatable operational work from proportional hiring to a governed agent workforce - high-volume administration, coordination, data reconciliation, evidence collection, reporting, procurement, scheduling, revenue support, and quality workflows. Your teams stay accountable for clinical judgement, patient empathy, exceptions, and approvals.

Operating boundary

Agents run the admin. People make the calls.

Agents manage non-clinical workflows: they extract and validate data, prepare packs, update systems, chase responses, reconcile records, and surface exceptions.

The healthcare safety line

Agents never diagnose, prescribe, consent, discharge, clinically triage, interpret scans or labs, or communicate material clinical advice. Clinical judgement, adverse-event conclusions, and material patient communications remain with authorised healthcare professionals - always.

Medical operations roles

Six agents. The repeatable work of a healthcare operation.

Patient Access & Intake

Referrals, demographics, eligibility and payer checks, documentation completeness, patient reminders, and missing-info queues.

Scheduling & Capacity

Appointments, room and equipment readiness, cancellations, no-shows, waitlists, utilisation prompts, and capacity reporting.

Revenue Cycle

Authorisation status, coding-support checks, claim pack preparation, denial and rejection triage, and debtor follow-up.

Records & Documentation

Document indexing, OCR extraction, completeness checks, referral and admin pack preparation, and archive review.

Procurement & Inventory

Consumables, clinical kits, PAR stock levels, expiry alerts, supplier follow-up, substitutions for approval, and variance analysis.

Quality & Compliance

Incident pack assembly, audit evidence, SOP attestations, infection-control checklist collation, and policy acknowledgements.

Control model

Autonomy is earned, tiered by risk.

Every task is classified before an agent touches it. Trust scores gate autonomy by role, site, workflow, and task type - weak scores automatically tighten guardrails and increase human review.

Low risk

Autonomous execution

Reminders, data extraction, report generation, status updates, document classification, and routine task updates.

Medium risk

Agent drafts, human approves

Patient-affecting scheduling changes, billing exceptions, stock substitutions, and external messages outside templates.

High risk

Mandatory human decision, dual control

Clinical judgement, consent, discharge, prescriptions, privacy and legal matters, regulated reporting, disciplinary, or material financial actions.

Everything is evidenced. A tamper-evident event ledger captures inputs, actions, evidence, approvals, and screenshots as replayable audit trails. Facts are tagged apart from inferences, with source, timestamp, integrity hash, confidence, and derivation path preserved.

Platform

Built for the systems you already run.

Works in your existing systems

Agents log in, open portals, fill in forms, and complete tasks on screen - even in older systems - without new integrations to build.

Approved tools only

Agents can only use the systems and tools you have approved, nothing else, and every tool is labelled by how risky it is.

Identity and sign-off

Every agent has its own identity tied to your existing staff login and access rules. Sensitive actions always need extra sign-off from a person.

Your data stays yours

Data is encrypted, access is logged, and sensitive details are hidden where they are not needed. Your data is never used to train AI models.

Talk to us

Start with a pilot.

Patient intake, scheduling readiness, and revenue-cycle exception queues across selected sites or service lines. Start in approve-before-action mode, then unlock autonomy as trust scores and control evidence mature.

Prefer email? Reach us at contact@opsmed.ai.