AI is changing how software gets built. The harder question is how to run delivery around it. Teams, approvals, budgets and performance measures were designed for people doing the work.

As AI agents take on more of it, leaders must decide what to delegate, where human judgment stays essential, who owns the outcome, and how to turn faster development into business results.

Interoperability is part of that operating model. Teams keep the AI tools that suit their work, and those tools need to work together under common standards for quality and security, with clear accountability for the results.

This invitation-only dinner brings New York technology leaders together to trade what is working and what isn't.