Client scope · AI Integration
A HIPAA-safe AI assistant, inside your product
An assistant where staff ask about any record in plain English and get instant, cited answers drawn from its full history, without a single piece of PHI ever reaching the model.
A real engagement I scoped and quoted for a client. Generalized here; the client stays private.
The problem
Your team's answers are buried in your own software
Staff spend a surprising share of the day digging through screens, records, and reports to find what they need. Off-the-shelf AI could answer in seconds, but it can't touch regulated data, and sending PHI to a public model is a non-starter. So the assistant everyone wants never gets built.
How it works
PHI never reaches the model
Identifying information is stripped before anything is processed and restored locally before it is shown. The model only ever sees de-identified data.
Ask
Staff ask about a record by name, inside your product.
De-identify
Your product strips all PHI and swaps in record tokens.
Process
The AI receives only de-identified data with token references.
Re-hydrate
Tokens map back to real names locally, never by the model.
Display
Staff see the full answer with real names, cited to the source.
The same question, de-identified on the way to the model and restored on the way back.
Sent to the model, de-identified
Shown to your staff, re-hydrated
What it delivers
A flagship assistant on a foundation you build once
- Natural-language questions about any record, across its full history
- Instant summaries of long, multi-visit records
- On-demand checks for gaps, inconsistencies, and risks
- Source citations linking back to the original documentation
- A secure, model-agnostic foundation every later feature plugs into
- HIPAA-safe by design: de-identified, audit-logged, BAA-backed
Beyond the assistant
Because the foundation is built once, each next feature ships faster than the one before:
The engagement
This is the AI Integration Sprint
Production AI features on a secure foundation, wired into the product you already run. The same orchestration discipline behind Fitly, pointed at your data.
Want an assistant like this in your product?
Tell me what your team spends its day digging for. I'll tell you what a first version looks like and how fast it can ship.
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