3 things we got wrong building an AI command center for growth teams
Sharing this because I would have wanted someone to tell us earlier.
Mistake 1: We assumed teams wanted maximum autonomy.
They do not. The first thing almost every growth team asks is: how do I make sure it does not send something without me seeing it first? Autonomy is a feature. Control is the prerequisite.
Mistake 2: We thought grounding the AI in general knowledge was enough.
It is not. A model that knows your industry but does not know your specific company, your playbooks, your past work, and your live funnel produces output you would never actually send. Grounding has to be specific, not generic.
Mistake 3: We underestimated how much the trace matters.
When AI runs work, teams need to see exactly what happened, in what order, with what outcome. Not a summary. The actual trace. Receipts, not a spinner.
Replies
Softorino 💻📲
Mistake 1 is the one I'd underline. On a small team the person approving the draft is the same person who would have written it, so the control step only pays off if reviewing is genuinely faster than writing from scratch. Most tools I get pitched hand me a review queue that costs the same as doing it myself.