Agentic AI for Regulated Life Sciences

The expert’s job in life sciences is shifting. Just like software engineers moved from writing boilerplate to reviewing what AI generates, medical writers are moving from execution to judgment. The thinking, the strategy, the regulatory argumentation — that’s the work. Getting it onto paper is something AI can now handle.

The next shift in life sciences AI isn’t about better chatbots — it’s about agents that act.

Where traditional AI tools assist, agentic AI works autonomously: searching literature across multiple databases, screening thousands of abstracts, extracting evidence from full-text PDFs, and drafting regulatory documents — all within a single, connected pipeline. For medical writing and market access teams, this means systematic literature reviews that used to take months can be compressed to days. HTA dossiers that required weeks of manual evidence synthesis become structured, first-draft-ready outputs with traceable citations for every claim.

Pharos Labs GmbH

www.pharos-labs.com

florian.woeste@pharos-labs.com

At Pharos Labs, we built Regulaido specifically for this context. The platform’s agentic pipeline handles the volume — document search, abstract screening, PDF retrieval, structured extraction — while keeping humans in control of every decision that matters: inclusion criteria, regulatory argumentation, final sign-off. Every AI output is linked to its source. Every action is logged.

This isn’t a pilot-phase promise. Regulaido is in active use with regulatory affairs, market access, and medical writing teams across Europe. Our clients work on CTD modules, HTA dossiers, and MDR documentation — environments where traceability isn’t a feature, it’s a requirement.