What Does AI Readiness Actually Look Like for Pharma and Life Science Organizations?
Description
Your AI Strategy Is Only as Fast as the People Behind It.
A 30-minute working session for Pharma and Medical Device leaders on what it takes to prove your workforce can actually execute the AI roadmap you've published.
The Shift
Pharma and medical device companies have invested in the infrastructure. You've deployed ChatGPT Enterprise, Vertex AI, and internal platforms. You've published AI governance frameworks, stood up AI Councils, and mandated completion tracking. The tools are live.
But every board is now asking a question the tools can't answer:
Who on your team is actually proficient — by role, by function, at what level?
The gap isn't access. It's verified capability. And in a regulated industry, that gap carries consequences that go well beyond wasted L&D budget.
What we'll cover
In 30 minutes, the Workera team will walk through:
- Why FDA and EMA now require AI to be treated as part of your Quality Management System — and what that means for compliance and regulatory teams who've never needed AI governance skills before
- How leading firms are building verified, role-specific capability evidence across Steward, Practitioner, Engineer, and Scientist tracks
- Why industry leaders still can't answer the board's readiness question — and what closing that gap looks like
- A proof-of-scale outcome: 80% of the workforce assessed and upskilled on verified AI capability in 60 days
Who should attend
CTOs, Chief AI Officers, VPs of Regulatory Affairs, Chief Compliance Officers, and Heads of Learning & Development at pharma and medical device organizations navigating the shift from AI strategy to AI-native delivery.