Every Seat at the Table: What Buying, Consulting, and Implementing Enterprise AI Taught Me
About this session
I've bought enterprise technology from inside Bank of America, Wells Fargo, and Lowe's. I've consulted on it from inside Slalom, watching a wide range of companies get adoption right and get it wrong. And now I implement it — leading Customer Success for an agentic infrastructure company through an acquisition. Most people talking about enterprise AI adoption have sat in one of these three seats. I've sat in all of them, and the same pattern holds from every angle: the projects that succeed aren't the ones with the most capable model. They're the ones where someone insisted on proof from day one. This talk is what that pattern looks like in practice. The goal isn't another AI adoption framework, it's a practical model, built from three different seats at the same table, for measuring whether an agent is actually working in production.
Speaker
Key takeaways
- What changes about "enterprise readiness" when you've bought, advised on, and implemented AI
- The proof enterprise buyers actually require, versus what most vendors assume they require
- A framework of proactive effectiveness signals for measuring agent performance