AI agents for healthcare ops
Cut administrative load — intake, prior authorization, scheduling and patient follow-up — with HIPAA-aware agents that keep a human in the loop on every clinical decision.
What this means for your organisation
Healthcare teams lose enormous time to administration: patient intake, eligibility checks, prior authorization paperwork, appointment juggling and post-visit follow-up. None of it is clinical, all of it is mandatory, and it burns out staff.
AI agents can pre-fill intake from documents, draft prior-auth packets, propose schedule changes and send compliant patient reminders — while never making a clinical judgement on their own. Every action that touches care goes through a clinician or trained staffer.
We treat PHI handling, audit trails and access control as first-class requirements, not afterthoughts. Agents run inside compliant boundaries with full logging, so you can show exactly what was processed, by which model, and who approved it.
What we build
Patient intake agent
Extracts structured data from forms and documents to pre-populate your EHR, with staff verification.
Prior-auth drafting
Assembles prior-authorization packets from clinical notes and payer rules for human review.
Scheduling assistant
Proposes appointment slots, handles reschedules and reduces no-shows with compliant reminders.
Patient comms
Drafts follow-up and education messages in plain language, reviewed before sending.
PHI guardrails
Access controls, redaction and full audit logging so every PHI touch is traceable.
Human-in-the-loop
Clinical and billing decisions always require human sign-off; the agent never acts alone on care.
Implementation details
| Capability Parameter | System Specification |
|---|---|
| Compliance posture | HIPAA-aware design: PHI minimisation, access control, audit logs, BAAs with vendors |
| Integrations | EHR/EMR APIs (HL7/FHIR), payer portals, scheduling and messaging systems |
| Safety | No autonomous clinical decisions; human approval gates on all care actions |
| Hosting | Compliant cloud regions with encryption in transit and at rest |
| Engagement | Discovery + compliance scoping, then a single-workflow production pilot |
| Typical budget | ₹30L–₹50L / $30k–$60k per workflow, compliance-dependent |