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Whitepaper

AI agents for Medical Affairs

Six use cases that take the avoidable rework out of Medical Affairs, from publication quality control to KOL mapping, and what each one needs before it holds up in a regulated team.

What is inside

Medical Affairs teams have ChatGPT or Copilot, and the MLR review still takes weeks. This paper shows what changes when AI stops answering questions and starts running a workflow.

  • Publication quality control with three agents working in parallel: citations checked against their source, numbers checked against the study reports, compliance checked against the journal guidelines.
  • Post-congress intelligence: from scattered notes and poster photos to an analysed report within hours.
  • KOL landscape mapping: one agent per data source, and a ranked map with the engagement gaps.
  • Three quick wins: medical information responses on the DRESS framework, SLR screening and data extraction, and an MSL activity dashboard.

Who it is for

Heads of Medical Affairs, publication leads, medical information and MSL managers who want to see what is deployable today, with a human in the loop at every step.