AI Dev 26 x SF | William Imoh & Charlie Wood: Closing the Care Gap

AI agents are emerging as a powerful interface for clinical workflows, but building systems that reliably operate on sensitive patient data requires careful design around privacy, retrieval accuracy, and deployment flexibility. In this workshop, William Imoh and Charlie Wood built a Care Transition Copilot using IdeaBoxAI and Actian VectorAI DB to demonstrate how agentic AI can assemble patient context, detect risk signals, and generate actionable insights for clinicians supporting patients at home. Attendees learned how to design Retrieval-Augmented Generation (RAG) architectures and agent workflows that move beyond prototypes to support real-world healthcare decision making.