Documentation support
Draft visit summaries, letters and structured notes from source material for a clinician to review and sign, not replace their judgment.
AI in healthcare,
without exposing PHI.
AI can lift real weight off clinical and administrative teams, but only if protected health information stays protected. We build AI workflows around HIPAA-aligned safeguards: access control, audit trails, providers that will sign a BAA and won’t train on your data, and private deployment when the use case demands it.
BAAwith model & cloud
providers
providers
No trainingyour PHI is never
used to train
used to train
Auditedevery access
logged
logged
PHI-safe by design BAA-backed providers Grounded in your records Human in the loop
Where it helpsAI on the admin load,
AI on the admin load,
not the clinical risk.
The safest early wins are the repetitive, documentation-heavy tasks that surround care rather than the diagnosis itself, with a person reviewing anything that touches a clinical decision.
Patient intake & triage
Turn free-text intake into structured data and route requests to the right place, with clear boundaries on anything that needs a human decision.
Records Q&A
Let authorized staff ask questions across records and policies and get a cited answer, with retrieval that respects who is allowed to see what.
Coding & back-office
Assist with coding, prior-authorization prep and claims paperwork, cutting the manual load while keeping a human on the final call.
What’s includedThe safeguards that make
The safeguards that make
AI usable with PHI.
The model is the easy part. These are the controls that let a covered entity actually put it near protected health information. The AI engineering itself draws on our AI development practice.
01
Contracts before data
BAA-backed providers
We use model and cloud providers that will sign a Business Associate Agreement and contractually will not train on your data, settled before any PHI moves.
Signed BAANo training on PHIEnterprise tiersData residency
02
Only what they should see
Access & minimization
Retrieval and prompts scoped by role, with the minimum PHI necessary sent to the model, and redaction where the full record isn’t needed.
Role-based accessMinimum necessaryRedactionTenant isolation
03
Grounded, not guessing
Retrieval on your data
Answers grounded in your own records and policies with citations, so output is traceable to a source instead of invented, built on our RAG engineering.
Grounded answersCitationsAbstainFreshness
04
A record of everything
Audit & monitoring
Every prompt, retrieval and output logged and traceable, with monitoring so unusual access is visible, the evidence your compliance program relies on.
Access logsFull tracesAlertsReporting
05
People stay in charge
Human in the loop
Clinical and high-stakes output is proposed for review, never acted on automatically, with clear overrides so a person always makes the final call.
Review stepsOverridesConfidence flagsEscalation
06
When data can’t leave
Private deployment
Where the use case demands it, we run models in your own cloud tenancy or a private environment, so sensitive data never leaves boundaries you control.
VPC / private cloudSelf-hosted modelsEncryptionNetwork controls
How we workFrom a risky idea
From a risky idea
to a safe deployment.
We move carefully with PHI, proving safeguards and value on a narrow, low-risk use case before widening scope.
Scope the data & risk
We map what PHI is involved, what the AI will and will not decide, and where a human must stay in the loop.
Build the safeguards
BAAs, access control, retrieval, redaction, audit logging and guardrails go in before the feature does, not after.
Pilot & document
We launch supervised on a narrow use case, measure quality, hand over documentation and widen scope only as the evidence earns it.
Direct answers
HIPAA & AI,
HIPAA & AI,
answered plainly.
Using AI with health data raises fair concerns. Here are straight answers, without the false promises.
Ask us somethingOnly under the right agreement. We use enterprise tiers from providers that will sign a BAA and contractually will not train on your data, send the minimum PHI necessary, and deploy privately when the use case calls for it. Consumer chatbot endpoints are never used with PHI.
No one honestly can, because compliance is an ongoing program rather than a switch. We build the AI workflow around HIPAA-aligned technical and security safeguards and give you the documentation and audit trail your compliance process needs.
Not on its own. We design these systems so a qualified person reviews anything clinical. The AI drafts, structures and surfaces information to save time; the decision and the sign-off stay with your team.
Yes, where it matters. We can deploy models inside your own cloud tenancy or a private environment so PHI never leaves boundaries you control, trading some model choice for maximum data control.
Contact
Let’s make the next
Let’s make the next
move count.
Tell us what you are building. We will come back within one business day with questions, not a pitch deck.