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Digital Pharma Lab
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AI Compass · Support and team

End-to-end AI support for pharmaceutical companies

70+ clients supported. We start with concrete pilots on the tools your teams already use, then support your progress in maturity up to continuous monitoring of your compliance.

  1. 1

    Identify

    business use cases

  2. 2

    Train and pilot

    on tools already in place

  3. 3

    Scale

    to specialised tools

  4. 4

    Measure

    continuously with AI Compass

Step 1 · Discovery

Identify the right use cases with your business teams

Our consultants run scoping workshops with your teams (medical, regulatory, R&D, MLR, pharmacovigilance, operations). Daily pain points become AI use cases, ranked by business value and feasibility.

Scoping workshops by function

Two-to-three-hour sessions for each function, led by a pharma consultant.

A value and feasibility matrix

Use cases ranked by expected return, complexity and regulatory risk.

The first pilots chosen

A few use cases selected so you can start without delay.

Step 2 · Training and piloting

Train your teams and launch pilots on the tools already in place

We train your teams on the general-purpose AI tools they already have (Microsoft 365 Copilot, ChatGPT Enterprise, Claude, Gemini), starting from their real use cases, so they are productive from day one.

Hands-on training by role

Sessions built on real cases, with ready-to-use prompts and templates.

Supervised pilots

A few weeks of support per team to turn use cases into measurable routines.

Impact measured

Adoption, time saved and satisfaction tracked from the start.

Step 3 · Scaling up

Extend the approach to specialised AI tools

Once teams are comfortable and the first use cases are in production, the business wants to go further. We help you choose, deploy and drive adoption of specialised AI tools for pharma.

Watch and selection

Market mapping, requests for proposals, comparative proofs of concept and supplier checks.

Deployment

Pilot, integration with your information systems, change management and dedicated training.

Scaling

Industrialisation, business KPIs and governance specific to each tool.

Step 4 · Continuous governance

Measure compliance and performance over time

Every deployed tool, general-purpose or specialised, is tracked in AI Compass. Regulatory compliance, adoption, emerging risks: a single dashboard to steer your AI ecosystem.

A multi-framework assessment

EU AI Act, EMA, ICH, GxP, MDR/IVDR and GDPR, tool by tool and use case by use case.

An up-to-date dashboard

An overview, detail by tool and alerts on non-compliance.

Active regulatory watch

The effect of new EMA, FDA and EU AI Act publications on your use cases.

The team

The pharma experts behind AI Compass

A team that combines consulting, AI engineering and regulatory expertise, serving the pharmaceutical industry.

clients supported
70+clients supported
reference use cases
200+reference use cases
  • Didier Tranchier

    Co-founder

    He helps pharmaceutical companies adopt artificial intelligence responsibly.

  • Pascal Bécache

    Co-founder

    He drives the strategy and growth of Digital Pharma Lab’s AI and pharma ecosystem.

  • Lilian Reversat

    Digital Health Manager

    He supports the AI and compliance projects of pharmaceutical players.

  • Joséphine Ploussard

    Digital Health Consultant

    She helps pharmaceutical companies with their AI use cases.

What the Pro plan includes

The AI Compass Pro plan includes onboarding and a quarterly review with a consultant. For broader support, from identifying use cases to deploying tools, get in touch: we will scope it with you.