AI Agents for Healthcare

Patient care, not paperwork

HIPAA-compliant AI agents that handle triage, scheduling, and documentation so clinical staff can focus on what they trained for: patients.

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Global AI in healthcare reached $21.66 billion in 2025 and is projected to hit $110.61 billion by 2030. Ambient scribes alone generated $600 million in revenue in 2025, growing 2.4x year over year. A JAMA Network Open study found a 31% drop in reported physician burnout after deploying AI documentation tools. 43% of medical groups expanded AI usage in 2024, up from 21% in 2023. The shift is happening. AI agents do not replace clinicians. They replace the clerical burden that burns them out.

The administrative burden in healthcare

The average physician spends 15.5 hours per week on paperwork and administrative tasks. Nurses spend even more. This is not a technology problem. It is a systems design problem. The work is real, necessary, and currently done by the most expensive, most burned-out people in the building.

AI agents handle the structured, repeatable parts: patient intake forms, triage questionnaires, appointment scheduling, insurance verification, and clinical documentation drafts. The clinician reviews, approves, and moves on.

15.5 hrs — per week physicians spend on administrative tasks

What we build for healthcare

Patient triage agents that assess symptoms, urgency, and routing before the patient arrives. Scheduling agents that coordinate across providers, rooms, and equipment without double-booking. Documentation agents that draft clinical notes from voice recordings or structured inputs, ready for physician review and signature.

Every system is built HIPAA-compliant from day one. Encryption at rest and in transit, access controls, audit logs, and BAA (Business Associate Agreement) ready. Compliance is not an afterthought. It is the architecture.

Patient triage and symptom assessment
Appointment scheduling and coordination
Insurance verification and prior authorization
Clinical documentation drafting from voice or structured input
Patient communication and follow-up reminders

HIPAA compliance by design

We do not retrofit compliance onto existing systems. Every healthcare agent is architected with HIPAA in mind from the first line of code. PHI (Protected Health Information) is encrypted at rest and in transit. Access controls follow the principle of least privilege. Every interaction is logged for audit purposes.

We deploy on your infrastructure or in a dedicated HIPAA-compliant cloud environment. Patient data never touches shared models or third-party training datasets.

FAQ

Fair questions.

Ask us directly

Is this HIPAA compliant?

Yes, from the architecture level. Every system we build for healthcare uses encryption at rest and in transit, role-based access controls, full audit logging, and PHI isolation. We sign BAAs and deploy on HIPAA-compliant infrastructure.

Does the AI make clinical decisions?

No. Our agents handle administrative and triage tasks. They do not diagnose, prescribe, or make treatment decisions. When triage suggests clinical urgency, the agent routes to a clinician with full context. Human oversight is mandatory for all clinical pathways.

Can this integrate with our EHR?

We integrate with Epic, Cerner, Athena, and any EHR with an API or HL7/FHIR interface. Integration scope is defined during the discovery phase.

What about patient trust?

Patients are informed when they are interacting with an AI system. Transparency builds trust. The agent handles intake and scheduling. The human handles care. Patients overwhelmingly prefer faster intake, even from an AI, over sitting in a waiting room filling out clipboards.

Next step

Let your clinical staff do clinical work

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