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.
Solution
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).
Tech Stack
- 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.
Results & Impact
- 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.