HIPAA-Compliant Voice AI Agent

Industry: Healthcare / HealthTech

Developed for healthcare providers and insurance aggregators to automate high-volume verification workflows.

Problem

Manual insurance verification is expensive, slow, and difficult to scale under strict regulatory requirements.

High Operational Costs: Dependency on human call centers for repetitive data verification tasks.
Security Constraints: Difficulty maintaining HIPAA compliance within automated voice systems.
Latency Issues: Traditional IVR or older AI systems suffer from delays that disrupt natural conversation flow.

A specialized Voice AI application that handles real-time insurance queries through automated outbound calling.

Ultra-Low Latency: Optimized data pipelines achieving sub-500ms response times for natural interaction.
Conversation Steering: Logic-driven agents capable of navigating complex insurance questions and data retrieval.
Massive Scalability: System architecture designed to execute and manage thousands of concurrent call campaigns.
Compliance Framework: Built-in security protocols to meet US HIPAA standards for handling Protected Health Information (PHI).

Framework: FastAPI for high-performance API management.
Voice & Telephony: Telnyx API for SIP trunking and call routing.
Speech Synthesis: Azure Voice Live API for real-time text-to-speech and speech-to-text.
Logic: Custom Python-based conversation steering and state management.

Cost Reduction: Replaced traditional call center roles with automated AI infrastructure.
Operational Speed: Insurance data verified in real-time with response speeds indistinguishable from human agents.
Regulatory Compliance: Fully HIPAA-compliant architecture ensuring secure data transmission and storage.
High Throughput: Enabled large-scale automated campaigns that were previously impossible with human staffing.

AI agents & Autonomous systems