A capability showcase: a compliance-aware conversational assistant for a healthcare network, built on retrieval-augmented generation with strict PHI boundaries and human-in-the-loop escalation.

Self-Service Resolution
Avg Response Time
Support Cost Reduction
Capability Showcase
Healthcare support queues are dominated by routine, repetitive queries — appointment timing, prep instructions, post-visit care — that nonetheless demand careful PHI handling. Off-the-shelf chatbots either leak data, hallucinate, or escalate everything to a human.
We implement a RAG pipeline grounded only in approved provider documents, with PHI redaction in both prompt and response paths. A confidence-gated router escalates ambiguous queries to a human agent with full conversation context, while a complete audit trail satisfies compliance review.
Patients get accurate answers in seconds; agents get their day back to handle the cases that actually need a clinician's judgment; compliance gets an evidence trail they can defend.
This page describes a representative engagement pattern in intelligent chatbots. The architecture and approach are what we deliver in practice; brand names and specific metrics illustrate the shape of typical outcomes and will vary based on scope, data quality, and integration constraints.