Short pieces from my work as an AI and business systems consultant: where businesses lose time and money, how practical AI and connected systems help, and how growth work fits in. No theory for its own sake, just how the work actually gets done.
Bigger is assumed to mean more capable. For most work the opposite is true: every handoff between people is where the truth leaks out.
Read →Technology breeds a quiet insecurity in owners. Do not let it. Domain knowledge is the scarce, valuable part, and it is yours.
Read →Ask three people how the business did last month and you can get three answers. Conflicting numbers are worse than none, because the business stops trusting data and runs on opinion.
Read →Scaling is a multiplier, and a multiplier does not care whether what it multiplies is good or bad. Fix the single unit before you spend to scale it.
Read →The instinct when ads are working is to spend more. It works, until it does not, and the moment it stops is rarely where anyone expects. The fix is usually economics, not budget.
Read →The report rebuilt by hand, the numbers copied between tools, the spreadsheet only one person understands. It feels free because nobody invoices it. It is not.
Read →Every business is being told to use AI as if it were a destination. It is a lever, and a lever does nothing until it is attached to something worth moving.
Read →The default way to buy services is a monthly fee for ongoing time. It feels safe, and it quietly points the incentives the wrong way.
Read →Return on ad spend looks like profit and is nothing of the kind. It counts revenue, credits the wrong channel, and rewards spend that was never incremental.
Read →Most agencies open with a free pitch. I open with a paid teardown that finds where the business is leaking. Why paid beats free, for both sides.
Read →Most waste is invisible, because the people who know the business cannot see the data, and the people who could build the view are not in the room.
Read →Best practice is the average of what everyone else does. It can buy you parity, never an edge, and it quietly imports their waste.
Read →The build-versus-buy maths changed. Problems that never justified custom software suddenly do, especially for smaller and traditional businesses.
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