I used to be a Chief of Staff at a B2B SaaS company. My last couple years there, I was trying to help everyone figure out AI (how to actually use it in our day-to-day operations, not just talk about it).

We made a lot of mistakes. Built things that were too complex. Chose the wrong tools. But through all that trial and error, some clear patterns emerged about what works and what doesn't.

Now I help other companies work through these same challenges. Turns out everyone gets stuck at the same decision point: what should I actually build? And where do I start?

This session is about a simple framework that helps answer that question. More specifically, it will answer how to look at any operational problem and know which AI approach makes sense.

It's based on real implementations, real mistakes, and what actually ships.