AI capability that actually changes how your team works.
Practical training built around MedComms and Pharma workflows — not generic AI demos that leave teams working exactly as they did before.
Talk to us about trainingThe gap between awareness and capability
Most Pharma and MedComms teams have already been through at least one AI session. They've seen the demos, understood that the tools exist, and come away with a general sense that AI is going to be important.
And then they've gone back to working exactly as they did before.
The gap between awareness and capability is where most AI training fails. It's not that teams don't want to use these tools — it's that they've been shown what AI can do in someone else's workflow, not their own. The training wasn't connected to the tools they actually use, the content types they actually produce, or the pressures they actually work under. That's the problem our training is designed to solve.
Built to change behaviour, not just inform it
Built for MedComms and pharma — not adapted from something generic
We know the difference between a slide for an advisory board, a publication abstract, and a regulatory submission. We know where AI can reliably fit within those workflows, and focus on those strengths.
Connected to your team's real tools and real content
Training that works starts with understanding what your team is actually trying to do — and what's currently in the way. We build sessions around your workflows, your platforms, and the tasks your team wants to do faster, better, or differently.
Focused on behaviour change, not awareness
The goal isn't for teams to leave knowing more about AI. It's for them to leave doing something differently — and for that change to stick. We build in application time, real use cases, and follow-up touchpoints to maintain momentum.
What we cover
Training is structured across three levels, tailored to where your team is starting from.
Understanding and applying AI safely
For teams new to AI tools or with inconsistent existing knowledge. Covers the fundamentals and builds practical confidence.
- What AI tools can and can't do in a MedComms context
- Safe and effective use — compliance, accuracy, and oversight
- Prompting principles that actually work
- Practical application to medical writing, editing, and research
Deeper application across your stack
For teams ready to move beyond basics and connect AI into how they actually work day-to-day.
- Platform-specific application relevant to your team
- Connecting AI into existing workflows
- Practical exercises on real content types
- Integrations and connectors that extend capabilities
Building scalable AI capability
For innovation leads and agency operations teams ready to build systematic AI infrastructure.
- AI agents and multi-step automation
- MCP (Model Context Protocol) and connectors
- Evaluation frameworks and quality assurance
- Building AI capability into team operations at scale
Training that sticks
Training is the entry point, not the output. Many of the barriers to adopting AI are based on confidence — and that teams need opportunities to practice in the right context to actually change how they work.
The curriculum has been developed and refined across real Pharma and MedComms environments — with teams at different starting points and different pressures. What we know about what works comes from that breadth of experience.
The gap between awareness and capability is where most AI training fails. It's not that teams don't want to use these tools — it's that they've been shown what AI can do in someone else's workflow, not their own.
Who this is for
MedComms agencies
Looking to build consistent, practical AI capability across their teams — and equip staff to brief effectively for specialist services like GEO and SII.
Pharma medical affairs and publications teams
At the point of AI adoption, where capability building is the unlock to getting value from the tools and investments already in place.
Leadership teams
Who want to understand AI deeply enough to make good decisions about investment, priorities, and how to communicate AI adoption internally and to clients.
The right starting point depends on your team
Training engagements are scoped to the team, the curriculum, and the delivery model that fits. The starting point is a conversation about where your team is now and what you need to be able to do differently.
We're also open to discussing training as part of a broader engagement — for teams where capability building is part of a wider AI adoption and strategy programme.
Talk to us about trainingWant to talk through what training could look like for your team?
Get in touch and we'll be direct about what's achievable, what the right starting point is, and what you'd walk away with.
Talk to us about training