Industries · Healthcare
AI agents & automation for healthcare
Healthcare organizations lose a large share of staff time to administrative work: faxed referrals, prior authorization forms, insurance checks and scheduling calls. These are the workflows where AI agents help most, because they are high-volume, rule-heavy and full of documents.
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AI services for healthcare
Where AI helps
AI use cases in healthcare
We focus on administrative and operational work, with people reviewing anything that affects care. Clinical decisions stay with clinicians.
Prior authorization
Gather the clinical details a payer needs, fill in the request and track its status, flagging missing information for staff.
Patient intake and referrals
Read faxed and emailed referrals, extract patient and insurance details and create records in the practice management system.
Scheduling and patient questions
Answer common questions and book, move or confirm appointments by chat, text or phone, handing complex requests to staff.
Claims and denials
Check claims for missing codes before submission and sort denials by reason so billing teams work the recoverable ones first.
Policy and protocol search
Let staff ask questions of internal policies, payer rules and protocols and get answers with links to the source document.
What we design for
Building AI for healthcare
The constraints that shape every project in this industry.
HIPAA and protected health information
Any vendor handling protected health information for you needs a Business Associate Agreement. We use model and cloud services that sign one, such as Azure OpenAI or AWS Bedrock, and keep PHI out of systems that don’t.
People stay in the loop
Agents prepare and route work; staff approve anything that affects a patient’s care, coverage or record.
Interoperability
We connect through standard interfaces such as FHIR and HL7 where your systems support them, and through documented exports where they don’t.
Audit trails
Every action an agent takes is logged with its inputs, so compliance teams can review what happened and why.
Systems these projects typically involve
- EHR systems via FHIR and HL7
- Practice management systems
- Payer portals
- Fax and document inboxes
- Patient messaging and phone systems
- Azure OpenAI
- AWS Bedrock
FAQ
AI in healthcare: questions
Can AI be used with patient data under HIPAA?
Yes, if every vendor that touches protected health information has signed a Business Associate Agreement and the system follows HIPAA safeguards for access, encryption and logging. We design around those requirements from the start.
Will AI make clinical decisions?
Not in the systems we build. We automate administrative and operational work and keep clinical judgment with licensed staff.
Can it work with our EHR?
Most modern EHRs offer FHIR APIs, and many accept HL7 messages. Where an integration isn’t available, agents can work from exports, inbox documents or the systems your staff already use.
Where should a healthcare organization start?
With one high-volume administrative workflow, such as referral intake or prior authorization, where time saved is easy to measure and no clinical decision is involved.
Free consultation
Talk to us about AI in healthcare
Book a free 60-minute strategy session. We'll look at your workflows, check feasibility and recommend where to start.
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