Writing for operators.
Practical notes for executives deciding where AI belongs inside real operations. No benchmarks, no vendor rankings.
Methods, written out.
Each one is a method written out in full: what to look at, what to count, and what to refuse.
Written by Ali Agha, New York
If one of these leaves a question open, ask it on the first call.
- 01
How to run an AI opportunity audit in a mid-market company
Follow real records, price the waiting with your own numbers, and rank what you find. A method that names the first system to build in weeks, not quarters.6 min - 02
What AI consulting costs, and how the price should be built
Why the number should come from your revenue and your wages, why outcome-only pricing goes wrong, and the questions to ask any firm before you sign.5 min - 03
What AI can and cannot be trusted with inside a business function
Where judgment belongs to a person, where it does not, and a test you can apply to any step of your own work.5 min
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If one of these describes work your company is carrying by hand, tell us which one. We will say on the first call whether it is worth fixing.
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One reply from Ali Agha within a business day. No sequence, no deck.