Transforming Care Delivery & Operations

Healthcare workflows rarely operate in isolation. Patient intake, triage, scheduling, documentation, and follow-ups are all interconnected—but often handled through separate systems and manual coordination. Multi-agent AI systems bring these processes together by allowing multiple AI agents to work in parallel—each handling a specific task while sharing context across the workflow. One agent can manage patient communication, another can process data, while another triggers next steps—creating a coordinated flow instead of fragmented actions. This approach reduces delays, improves visibility, and ensures that information moves seamlessly across systems without repeated input or manual intervention. At Cabot, multi-agent systems are designed to support real healthcare environments—integrating with existing platforms, maintaining compliance, and enabling workflows that are not just automated, but connected end-to-end.