Natera Automates Patient Scheduling with Amazon Bedrock AgentCore
Key takeaways
- Natera uses Amazon Bedrock AgentCore for automated patient appointment scheduling.
- The voice agent allows natural conversation for booking mobile phlebotomy.
- Advanced engineering ensures 100% tool-calling accuracy and low latency.
- AI agents can significantly improve customer experience and operational efficiency.
Who benefits
Summary
Natera developed an automated voice agent using Amazon Bedrock AgentCore to enable patients to book mobile phlebotomy appointments through natural conversation. The system achieves 100% tool-calling accuracy and sub-7-second latency through a dual-WebSocket bridge, event-driven latency masking, and progressive-trust authentication.
Why it matters
This case study demonstrates how advanced AI agents can automate complex customer interactions with high accuracy and low latency, significantly improving operational efficiency and customer experience in service-oriented industries.
How to implement this in your domain
- 1Identify customer service processes that involve repetitive scheduling or information retrieval suitable for AI agent automation.
- 2Explore AI agent development platforms like Amazon Bedrock AgentCore for building conversational interfaces.
- 3Design the agent's conversational flow to handle natural language inputs and complex booking logic.
- 4Implement robust authentication and data security measures for sensitive patient information.
- 5Monitor agent performance metrics like accuracy and latency to ensure high-quality service delivery.
Original post by Cem Onan
"Learn how Natera built an automated voice agent on Amazon Bedrock AgentCore that lets patients book mobile phlebotomy appointments through natural conversation. The post covers the dual-WebSocket bridge, event-driven latency masking, and progressive-trust authentication behind 10…"
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