# How is AstraZeneca's Evinova using an AI agent to draft regulatory software documentation?

> Evinova, a health tech company in the AstraZeneca group, uses Devin to draft regulatory documents for its clinical-trial software modules, work that took 35 to 40 hours of cross-functional time. Cognition reports structured first drafts at roughly 90% accuracy, with senior engineers shifting to reviewers.

- **Evidence grade:** B — Named organization with a quantified outcome, from the vendor or the organization's own announcement.
- **Organization:** Evinova (AstraZeneca group) (health tech company (clinical development software))
- **Industry:** Pharma, Biotech & Life Sciences — Clinical development software
- **Roles:** Regulatory & Medical Writing, Software Engineering
- **Tools:** Devin (Cognition)
- **Status:** production · **Agent pattern:** workflow-agent · **Autonomy:** 2/4
- **Last verified:** 2026-10-17

## Reported outcomes
- first-draft accuracy: roughly 90% [1] (self-reported)
- prior effort per module: 35 to 40 hours of cross-functional coordination [1] (self-reported)

## How it works
1. Devin assembles context from code and systems across teams.
2. Produces structured first drafts of regulatory documents.
3. Senior engineers review and approve.

## Risks & compliance
- Regulated (GxP) software documentation requires qualified human review
- Vendor-published results

## Sources
1. Cognition (Devin), "Evinova and Devin" (undated; accessed 2026-10-17) <https://devin.ai/customers/evinova>
   > "Devin produced structured first drafts at roughly 90% accuracy, shifting senior engineers from primary authors to reviewers"

Canonical: https://agentcasefile.com/cases/evinova-astrazeneca-devin-regulatory-docs/ · License: CC BY 4.0 (summary) · Source: Agent Casefile