Causaly Dissected: Accelerating Medical Affairs with Agentic AI Research

WEBINAR

Causaly Dissected: Accelerating Medical Affairs with Agentic AI Research

About the series: Causaly Dissected is our monthly live demo series. Each 30-minute episode takes one life sciences use case and pulls it apart in real time. The workflow mirrors the use cases staring with a scientific question, and running through all the critical next steps including the agentic research run, the cited evidence, and the deliverable a working scientist would actually hand to a colleague.

Medical Affairs teams are under pressure to deliver faster, more credible scientific exchange while medical communications, MI response, and evidence generation still rely on outsourced literature reviews, fragmented manual searches, and template-based responses that are slow, inconsistent, and rarely current.

In this episode of Causaly Dissected, our scientists take one of the most common Med Affairs use cases, an HCP scientific inquiry response, and walk through it live in Causaly.

You'll see how a natural-language question becomes a cited, audit-ready scientific summary in seconds, drawing on 40M+ publications and your team's private SLRs and MI libraries. Then we'll go deeper into adjacent workflows: MSL scientific decks, benefit-risk drafts, and evidence gap analyses. The same workflows that have helped customers cut medical communications cycle time from six months to weeks and remove external vendor spend entirely.

In this episode: