Patient intake agents
Collect forms, normalize patient details, detect missing information, and route cases to scheduling or care teams.
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Healthcare Operations
AI Agents for Healthcare Operations
Clinical teams should not be the routing layer for administrative work.
Direct answer
AI agents for healthcare operations
Arkhos Labs builds custom AI agents for healthcare operations teams that automate patient intake, referral routing, prior authorization support, revenue cycle tasks, and administrative follow-up with human review and privacy controls.
Use cases
Workflows we can own
Prior authorization support
Assemble required documentation, check payer-specific rules, draft submission packets, and track status.
Referral routing agents
Read referral documents, extract clinical and administrative details, and route work to the correct queue.
Systems
Integrations the agent has to respect
EpicAthenahealthDrChronoSalesforce Health CloudMicrosoft 365Google WorkspaceFax and document queues
Controls
Where the implementation has to be careful
PHI-aware handling
Access, retention, and review flows have to be designed around protected health information from the start.
Administrative support, not diagnosis
Agents handle routing, documentation, summarization, and follow-up. Clinical decisions stay with licensed professionals.
Audit trails for every action
Each extracted field, generated task, and status change can be tied back to a source and an operator.
Healthcare operations are full of queues
Patients wait because information is incomplete, referrals arrive in messy documents, prior authorization packets need payer-specific details, and staff spend hours chasing status updates.
The right agent does not practice medicine. It makes the administrative work move.
What we build for healthcare operators
Intake agents
The agent gathers patient information, identifies missing fields, organizes documents, and routes work to the right operational queue.
Prior authorization agents
The agent assembles documentation, drafts payer-specific packets, tracks status, and escalates missing information before it blocks care.
Referral routing agents
The agent reads referral materials, extracts needed details, and routes the referral based on specialty, location, urgency, and completeness.
Built for healthcare constraints
- PHI handling. Privacy and access controls are part of the architecture, not an afterthought.
- Human review. Staff and clinicians approve high-stakes work.
- Auditability. Every generated packet, status update, and extracted field can be traced.
Engagement model
- Week 1-2. Map one operational queue with the people who work it every day.
- Week 3-6. Build against real examples and edge cases.
- Week 7-8. Parallel-run the agent and measure backlog, cycle time, and review quality.
- Week 9+. Expand into adjacent queues once trust is established.
Book a call. Bring one queue that keeps backing up, and we will show what an agent can own.
Questions
Answers buyers usually need first
What can AI agents automate in healthcare operations?
AI agents can support intake, referral routing, prior authorization preparation, missing-information checks, status tracking, scheduling handoffs, and revenue cycle administration.
Can AI agents handle PHI?
They can only do so when the deployment, access controls, logging, data retention, vendor agreements, and review process are designed for protected health information.
Should AI agents make clinical decisions?
No. Arkhos focuses on administrative and operational workflows where agents support staff and clinicians without replacing licensed clinical judgment.
Proof points
- Built for operational workflows where delays create patient and staff pain.
- Designed with review, auditability, and privacy constraints in mind.
- Strong fit for intake, authorization, referral, and documentation queues.
Related pages
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