configuring clinical protocols, contextual knowledge, and decision logic that guide how agents interact with patients and healthcare teams.

The platform also incorporates simulation and evaluation tools that test agent behavior through large volumes of simulated patient scenarios before deployment. It integrates with healthcare systems such as electronic health records and customer relationship platforms to exchange patient data and workflow information. Continuous monitoring and safety controls are used to track agent performance and flag potential risks during real-world use. The software is designed to support organizations that want to incorporate AI-driven patient interaction systems into clinical operations.