of All Trades: How We Build With AI (From the Inside Out)
Everyone's talking about AI transformation. Very few people are honest about what it actually looks like from the inside.
This is that conversation.
Join us for an unfiltered interview with our Head of AI Ops, where we pull back the curtain on what it really means to build and deploy AI tools.
We'll talk about the messy middle: what breaks, what surprises you, and why the biggest barrier to AI adoption almost never has anything to do with the technology.
What We'll Cover
🔧 Why we use ourselves as the sandbox before we ever bring a tool to a client, we build it internally. We'll share what we've learned (and broken) along the way.
⚙️ Operators vs. advisors: why it matters There's a difference between someone who recommends AI and someone who implements it inside a real workflow. Being embedded changes everything about what's actually possible.
📦 The build-and-walk-away myth: One of the biggest misconceptions in AI right now is that you can deploy something and be done. We'll talk about what ongoing maintenance, workflow audits, and real change management actually look like.
🧠 What many teams get wrong about AI adoption: Promising outcomes before understanding the workflow. We've lived it. Here's what we’re doing differently.
🗺️ How we're thinking about AI engagements now: We'll share how our thinking is evolving, from open-ended builds to immersive operational discovery, operator-led implementation, and ongoing alignment.
Why Now?
This technology is still so new. Nobody has all the answers, including us. What we do have is real experience: building live tools, working through real friction with real teams, and iterating in public. That's what this conversation is about.
Who Should Come
Operators, founders, and team leads trying to figure out where AI actually fits in their workflow
Anyone who's been sold on AI tools but hasn't seen them stick
People curious about what AI implementation looks like when it's done thoughtfully, not just quickly
Here’s The Format
30 Min Virtual Webinar
20 min Q&A between Britt Gage, oAT Founder & Stephen Setzer, Head of AI Ops
10 min of Q&A for participants
Thursday, April 23: 12:30PM ET