Five years as Chief of Staff and running an AI-ops team taught me something about the gap between potential and reality - it's not that companies don't know what AI could do, it's that they're too busy running their actual business to figure out how to make it real. They're drowning in the operational work that keeps the lights on while knowing that same work should be automated, but the path from here to there feels impossible when you're already underwater.

So the approach changes. Make space to see the work clearly, sort the noise from the signal, and choose the few moves that matter. Then build one thing that works in your environment, with your data, for your people. Prove it. Build the next. Repeat. Steady progress instead of big plans that never leave the room.

You don’t need a full-time AI hire; you need consistent progress. You don’t want a massive project; you want real systems built.

The solution becomes focused, intentional builds that ship often and solve pains worth solving. One builder who understands both the operational reality and the technical possibility, building exactly what you need without the overhead of teaching someone your business or managing another vendor relationship.

The simplicity is the point. One builder. One system at a time. Continuous progress toward operations that run themselves.