Agentic AI is pushing healthcare R&D from search to action.

HealthTech reports that AI agents now plan multi-step tasks, call tools, and parse large datasets—speeding evidence packs, protocol design, and discovery work. Early adopters like Genentech report their gRED Research Agent helps identify targets and design studies faster—translating to shorter time-to-candidate.

𝗪𝗵𝗮𝘁 𝗖𝗫𝗢𝘀 𝗰𝗮𝗻 𝗱𝗼 𝗻𝗼𝘄

• Stand up an Agent Ops lane in your GCC; target 30–50% cycle-time cuts on protocol drafts and evidence dossiers.

• Treat agents like staff: role-based access, data residency, audit logs, HITL for high-risk steps.

• Tie benefits to risk: IBM shows AI misuse adds ~$670K per breach on average; fund controls from avoided loss.

• Bottom line: build agents inside a governed cloud and measure time-to-insight and throughput per researcher—that’s where value shows up first.