Most organizations have deployed the tools, bought the licenses, and mandated adoption. Yet enterprise AI sits at 20–30% weekly usage while the workforce quietly works around it.
This isn't a training problem. It's a design problem.
In this session, Michael Mayton, EVP & Head of Strategy and Experience at Bounteous, walks through the specific principles that separate AI implementations with 70%+ adoption from those stuck below 30%, including a live walkthrough of a real enterprise use case and the design decisions that make the difference.
At the end of this session you'll know:
- How to diagnose whether your AI adoption problem is a design failure, not a training gap
- The three-agent architecture that makes agentic systems scale
- What separates organizations compounding AI advantage from those that are stalled