Artificial intelligence is changing the way companies operate, but many leaders are making the same mistake: investing heavily in AI tools while neglecting the people expected to use them. In this episode of The Revenue Room™, Heather Holst-Knudsen sits down with Jay Lauf, Co-Founder of Charter, to explore why successful AI transformation depends more on organizational design, leadership, and training than on software itself.

In this Revenue Room™ CXO member exclusive webinar, Philip H. Wess and Sean D. Goodman covered the business case and security risks of MCP-connected AI agents: Philip framed the revenue upside (personalization, rev ops automation), while Sean flagged authentication, auditability, and authorization as the top risks, citing that 97% of AI-related breaches stem from poor authentication and that attackers exfiltrate data in ~90 minutes versus ~187 days to detect it. Q&A focused on accountability, board communication, and penetration testing frequency.

AI risk used to be mostly about what people pasted into chatbots. MCP changes the stakes by giving agents a standard way to connect to enterprise systems. The new unit of risk is no longer the model alone. It is the agent plus its toolbelt.