AI-Augmented Operations: A Field Guide for Founders Scaling Past Early Stage
There's a moment in every growing company where the founder realizes the operating system they've been running on — the spreadsheets, the founder-in-the-loop approvals, the tribal knowledge living in three people's heads — has quietly stopped scaling.
The team is bigger. The compliance surface area is bigger. The customer base is bigger. And the founder is spending more time on operational maintenance than on the strategic moves that actually grow the business.
This is the moment when most founders start thinking about hiring an operator. It's also the moment when a lot of them get distracted by a different question: “Can AI just do this instead?”
The honest answer is more interesting than either yes or no.
AI cannot replace operations. But AI can — and should — fundamentally reshape what operations looks like inside a company scaling past early stage. The companies that figure this out get a multiplier on every dollar they spend on operations leadership. The companies that don't usually end up paying for the lesson twice.
This guide is for founders trying to figure out the right way to integrate AI into their operations — without making the mistakes the early movers just made at scale.
Where AI Actually Helps in Your Role: A Field Guide for Operations, HR, EAs, and Chiefs of Staff
The most common mistake I see people make with AI is starting with the tool.
They sign up for ChatGPT or Claude or Copilot, stare at the blinking cursor, and try to think of something to do. A few half-useful prompts later, they decide AI is overhyped and go back to their day.
That's a tooling mindset. And it's the wrong way in.
If you actually want AI to make a dent in your work, you have to start with your role, not with the model. Here's the framework I use, and how it plays out for some of the most common operational roles I work with.