A health-tech startup needed to pull patient context out of incoming emails the moment they arrived. The hard constraint: patient data could never touch a public AI model.
We stood up the entire stack inside the client's own Azure account — using their startup credits — so nothing leaves their walls. A webhook fires on each inbound email; a private agent reads it, identifies the patient, and a RAG layer pulls their full record — attending doctor, appointment details — onto a review screen. A human approves, and only then does it write back into their eClinicalWorks (ECW) EMR.
Representative build — real project type and architecture, anonymised client, illustrative figures.
I'll map your problem to an architecture like this — and prove it with an MVP before you pay.
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