Year-end catalogue 2026: 13 turnkey offers, order by November 15.See the offers

Digital Pharma Lab
Contact

Digital Pharma Lab · 17 October 2026 edition

AI playbook for pharmaceutical, biotech and medical device companies

Six playbooks, one for each company type and size, from pharma and biotech to medtech. Each one sets out, for every role and function, what to do, in what order, with which rules and which tools, to use AI in a useful and compliant way.

  • AI usage policy, EU AI Act and French framework, choice of tools
  • One sheet per role: uses to start, prompts, AI use cases
  • Prioritisation, AI agents, 12-month roadmap

Open a playbook

1. Company type
2. Size

Choose a type and a size.

What each playbook contains

Understand

  1. 1Profile essentials
  2. 2Understanding AI

Govern

  1. 3The rules of the game
  2. 4The regulatory framework
  3. 5Choosing the tools

Act

  1. 6AI in everyday work
  2. 7Role sheets
  3. 8Choosing and prioritising use cases
  4. 9Working with AI agents
  5. 10Building a solution
  6. 11Practical examples

Deploy

  1. 12Training and engaging teams
  2. 13Roadmap and indicators

Appendices

  1. 14Glossary
  2. 15Going further with Digital Pharma Lab

Built-in tools

“Green light” test, prioritisation grid, “Is AI the right answer?” test, reuse-buy-build matrix, cost calculator, role sheets with prompts to copy, AI usage policy and use case sheet templates, roadmap checklist.

Frequently asked questions

Who is the Digital Pharma Lab AI playbook for?
Pharmaceutical and biotech companies, and medical device manufacturers (including in vitro diagnostics and software as a medical device), from SMEs and start-ups to large groups and the French affiliates of international groups. Each chapter states its audience: management, managers, AI leads, quality and legal, HR, or all employees.
Why six playbooks rather than one?
Priorities change with the type of company (medicines or medical devices) and its size: SME or start-up (fewer than 250 employees), mid-sized company (250 to 4,999 employees), large group or affiliate (5,000 employees or more). Each playbook adapts the typical situation, the three priorities, the common mistakes and the actions to start in the next two weeks.
Does the playbook cover the EU AI Act?
Yes. Chapter 4 sets out the European and French framework: the EU AI Act and its application timeline, GDPR and health data, health data hosting in France (HDS) and HAS good practice. For medicines, it adds the EMA positions, the draft GMP Annex 22, pharmacovigilance and promotional information. For medical devices, it covers how MDR/IVDR and the AI Act fit together, software as a medical device and vigilance. Sources are cited with links. The framework was checked on 16 October 2026.
Is the regulatory framework specific to France?
The playbook covers the EU rules that apply in every Member State (AI Act, GDPR, MDR/IVDR, EMA positions, GMP) and adds the French requirements (HAS, ANSM, HDS, CNIL). Companies in other countries can use the EU part and check their national rules.
What does a role sheet contain?
Uses to start this week, ready-to-use prompts, use cases to propose, points to watch and indicators to track. Each playbook has 14 role sheets, from management to regulatory affairs, quality and sales teams.
Does the playbook replace legal advice?
No. It gives practical guidance: it does not replace legal, regulatory or quality advice.
How can Digital Pharma Lab help further?
Digital Pharma Lab offers an AI diagnostic (review of uses, tools, governance and compliance, then prioritisation of use cases with the playbook grid), training and workshops by role (nearly 4,000 healthcare industry employees trained across Europe by DPL Academy), deployment of the playbook in the company with DPL support, and AI Compass, the AI governance platform developed by Digital Pharma Lab for pharmaceutical companies.

Going further with Digital Pharma Lab

Digital Pharma Lab supports pharmaceutical companies and medical device manufacturers with their AI programme, from scoping to rollout.

AI diagnostic

Review of uses, tools, governance and compliance, then prioritisation of use cases with the grid in this playbook.

Talk to our team

Training and workshops

Hands-on, collaborative workshops by role, from the foundation for everyone to advanced tracks, with a diagnostic before and an impact measurement after.

See DPL Academy

AI Compass

AI strategy and governance platform for pharmaceutical companies: regulatory compliance audit, continuous strategy steering, tracking of tool rollout and return on investment measurement.

Discover AI Compass
70+clients supported
12+experts
9years of experience
150+innovation projects