Zero to One: What Startups Know About AI That Growing Businesses Don't
Everyone's talking about AI changing how teams work. Few have actually shipped that change.
of All Trades (oAT) is bringing you inside a transformation that's already underway: a field report from a large organization rolling out agents across their product org.
Startups moved faster than enterprises, even before AI. Now they're moving even faster. Startups don't have the capital for one expensive platform bet, so they build from the repo first. They don't over-engineer. They build agents and workflows for the gaps in their headcount, because they don't have the people to begin with.
Enterprises move slower. Vendor requisitions, permissioning, onboarding, even getting access to the right MCPs takes longer.
This session is about what happens when a large organization actually commits to change: which roles get redefined, where resistance shows up, who it comes from, the mistakes people make, and what it truly costs to change.
For growing companies, this isn't a preview of some distant future. It's the wall you hit once ambition outpaces the org chart, and the instinct is always to reach for a full-time hire before the role is even defined. The organizations that get this right embed operators first, protect culture through the transition, and build AI-first systems as they go, so the playbooks are already written by the time they do hire.
What to Expect: Stephen Setzer, of All Trades Operator running AI implementation across product, and oAT Founder, Britt Gage, in conversation. Together they'll walk through what's actually changing, what still holds, and where teams are getting it wrong right now.
Built for: GTM, Operations, People, and Talent leaders, from Director to C-suite, Founder, or Owner, at growing companies (roughly 30 to 150 people) who are starting to feel the seams between startup speed and enterprise execution, and want to see what that transition actually costs before they're in the middle of it.