HIPAA-compliant AI services for healthcare
Custom AI that handles PHI the way the Security Rule requires — signed BAA, encryption at rest and in transit, access controls, audit logs, and no training on your patients' data.
Starting from $7.5k first HIPAA automation $7.5k–$20k · incl. BAA & compliance package
Patient intake automation
Clinical documentation assistant
Prior-auth & records extraction
Patient support agent
Billing & claims automation
Free discovery call · response within 24h · no commitment
HIPAA-Compliant AI
Who we build HIPAA-compliant AI for
Most AI vendors will sell a healthcare organization a chatbot and leave the compliance to you. We build it the other way round: every HIPAA-compliant AI engagement starts with a Business Associate Agreement, a PHI data-flow map, and an architecture review against the HIPAA Security Rule's administrative, physical, and technical safeguards — and only then do we build the assistant, agent, or automation. The result is AI your compliance officer signs off on, not AI you hope nobody audits.
- Medical, dental, dermatology, and behavioral-health practices drowning in intake forms, faxes, and phone tag
- Medical billing and revenue-cycle companies processing thousands of documents a week
- Home health, hospice, and care-coordination organizations with field staff and paperwork
- Healthtech startups and digital-health products that need AI features without a compliance rewrite
- Specialty clinics and surgery centers automating prior authorization and referral workflows
What "HIPAA-compliant" means in our builds, concretely: PHI is encrypted in transit (TLS 1.2+) and at rest (AES-256); access is role-based with MFA and least-privilege service accounts; every read and write of PHI is logged to an immutable audit trail with retention you control; models run through providers that sign BAAs (Azure OpenAI, AWS Bedrock, Google Cloud Vertex AI) or on infrastructure you own, and are configured for zero data retention and no training on your data; de-identification and minimum-necessary principles are applied wherever the task allows; and a human approval step sits in front of anything that reaches a patient or a payer. We document all of it in a compliance package your security officer can hand to an auditor.
The use cases where HIPAA-compliant AI pays back fastest: patient intake automation (forms, insurance cards, and referral faxes extracted into your EHR or practice-management system, with the uncertain 10% routed to staff); clinical documentation assistants that draft visit notes from structured inputs or ambient recordings for clinician review; prior-authorization and medical-records extraction that turns PDFs into structured, coded data; HIPAA-compliant patient support agents that handle scheduling, reminders, and FAQs over web, SMS, and phone; and billing and claims automation that checks documentation against payer rules before submission. Each is built on the same engineering behind our AI Agents Suite and AI automation practice — by a team TechBehemoths named a 2025 AI development winner.
Because we are a full software development company and not a chatbot vendor, HIPAA-compliant AI integrates with the systems you already run — EHR and practice-management platforms via FHIR and HL7 where available, secure fax and e-fax services, phone systems, and payer portals — and can grow into the custom patient portals, staff tools, and reporting your operation needs next, without a second vendor and a second BAA.
Process
How an engagement runs
Discovery
A free call, then a short discovery phase: goals, users, constraints, and the smallest scope that proves value.
Scope & architecture
A written proposal with architecture, timeline, and cost — fixed scope or time & materials, your call.
Build in sprints
2-week sprints with a working demo at each. You see progress as software, not status reports.
Launch & iterate
Production launch with monitoring, then iteration month-to-month — or a documented handover with full IP.
FAQ
Common questions about hipaa-compliant ai
Is there an official HIPAA certification for AI?
No — HIPAA has no government certification for vendors or software. "HIPAA-compliant" means the system and the vendor meet the Privacy and Security Rule requirements: a signed BAA, administrative/physical/technical safeguards, risk assessment, audit controls, and breach-notification procedures. We implement and document each of these so your compliance officer can verify them, and we sign a BAA before touching PHI.
Which AI models can be used with PHI?
Models accessed through providers that sign a BAA and offer zero data retention — Azure OpenAI Service, AWS Bedrock, and Google Cloud Vertex AI — or open-weight models deployed on infrastructure you control. We never send PHI to consumer AI endpoints, and every deployment is configured so your data is not used for training.
How much does HIPAA-compliant AI development cost?
A first HIPAA-compliant automation — intake extraction or document processing — typically runs $7.5k–$20k and goes live in 4–8 weeks, including the BAA, risk assessment, and compliance documentation. Clinical documentation assistants and patient-facing agents run $15k–$45k depending on integrations. Compliance work adds roughly 20–30% to an equivalent non-healthcare build.
Can you integrate with our EHR?
Yes, where the EHR exposes an interface: FHIR APIs (Epic, Cerner/Oracle Health, athenahealth, and most modern systems), HL7 feeds, or vendor APIs. For systems without APIs we build secure document and e-fax pipelines and staff-approved data entry. We confirm integration feasibility during discovery before you commit.
Do you also cover California privacy law (CMIA)?
Yes. For California providers we design to both HIPAA and the California Confidentiality of Medical Information Act, which adds stricter consent and disclosure rules. Our Los Angeles and Glendale healthcare clients get both covered in the same compliance package.
Where does the work happen and who has access to PHI?
Systems are deployed in US regions on infrastructure you own or that we manage under the BAA. Engineering access to production PHI is restricted to named, MFA-protected accounts with logged sessions, and development uses de-identified or synthetic data. Our engineers are in Yerevan and California; access controls, not geography, determine who can see PHI — and we document exactly who can.
Start here
Scope a HIPAA-compliant AI project
Tell us what you're building — a written response within 24 hours, no commitment.
- Product demo
- Custom build
- Staff augmentation