78% of your workforce is already using AI tools you never approved. The governance conversation cannot wait.
Most regulated L&D teams are not stuck because AI is too risky. They are stuck because no one has written down which rules actually apply. In a 2026 LTEN webinar poll, 48% of life sciences L&D professionals named compliance risk as their biggest blocker to scaling AI. Only 9% say regulation truly prevents AI use. The gap between perceived and actual risk is costing organisations time they do not have.
Watch the on-demand session to see exactly how one global pharma organisation went from 300 cautious pilot users to 100,000+ across 10+ languages, inside a fully regulated environment.
- Why most AI pilots stall and the three structural reasons they never scale
- A practical three-lane governance model your legal team designs once, freeing routine L&D work from constant review queues
- The four compliance checkpoints every AI-assisted training asset passed in a GxP environment
- A self-assessment to score where your organisation honestly stands on readiness to scale
- How 100,315 users were trained and enabled with a 98% value rating and zero compliance compromises
The regulations never changed. The organisations that scaled AI simply stopped assuming which ones applied.
Speaker:
Arun Prakash – Executive VP, Life Sciences Practice and Chief Learning Architect, Infopro Learning.Arun is a seasoned learning specialist with more than 20 years of experience, and an expert in envisaging and implementing out-of-the-box training solutions collaborative learning networks, and knowledge management systems. He is responsible for understanding the business goals of clients, and subsequently aligning the goals with measurable learning outcomes and learning solutions.