Clinical AI is moving from systems that predict and summarize toward agents that can help execute parts of a workflow. In this sponsored episode of The Top Line, Will Hurth speaks with Saama’s Ari Srinivasan, chief customer success and growth officer, and Yatesh Midha, associate vice president of product management, about what that evolution could mean for clinical development.

The conversation places Agent OS, Saama’s orchestration and governance layer, within a broader shift from disconnected AI tools to coordinated clinical workflows. A practical example explores how an agentic data manager could support SAE reconciliation by retrieving records from EDC and safety systems, comparing fields and presenting important mismatches with supporting evidence.

The interview also considers what trusted use requires in a regulated environment: task-appropriate models, grounding, provenance, permission controls, transparency, auditability and human oversight. The central argument is not that agents replace clinical experts, but that they take on repetitive information-gathering and comparison work so experts can focus on complex cases and consequential decisions. Listen to the full interview to learn more about the role governed, connected agents could play in the next phase of AI-enabled trials.