All case studiesHealthcare

HIPAA-compliant conversational AI for a UK healthcare company

A multi-agent conversational platform for patients, built for a regulated environment where every answer has to be traceable.

Client
Spryt
Role
AI Engineer
Period
2023 to 2025
95%+
intent accuracy in production
1,000+
monthly users served
End-to-end
data traceability for audits

The challenge

Spryt needed conversational AI that patients could rely on, in a setting where data handling, auditability and accuracy are regulated. Off-the-shelf chatbots could not show where an answer came from or prove what happened to patient data.

What I did

  • Architected HIPAA-compliant infrastructure with end-to-end data traceability and logging.
  • Designed multi-agent conversational pipelines with Rasa, LangGraph and retrieval-augmented generation (RAG), with compliance guardrails built into the flow rather than added afterwards.
  • Built structured logging and monitoring so every conversation could be audited.
  • Delivered high-availability cloud infrastructure for production traffic.

Technology

RasaLangGraphRAGPythonKubernetesCloud infrastructure

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