Practical writing on AI readiness, lean operations, and where automation actually pays off for a small business.
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Turning on an AI agent takes about one click, and getting a business ready for one takes an honest walk through how the work actually gets done. Four steps come before you connect anything.
Most owners cannot point to where all their business data lives, and that gap is exactly why so few protect it before they turn AI on. Build a data inventory, tag each area, and clean only what your first AI project touches.
An AI agent handed an undocumented mess does not clean it up, it runs the mess faster and at scale, then gets blamed for a problem it did not create. Before turning an agent loose, pick one process, document it for a first-day hire, validate it by doing only what the written steps say, and audit the folders, file names, and rules the agent will operate inside, the same three fixes Mike made to his own file system before building his first two agents.
Before any AI can do useful work in your business, it needs data it can navigate. Folder depth, inconsistent file names, and scattered records are the first things to fix, and this article shows how to audit and standardize them without an IT overhaul.