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Write down the real work before you automate it with AI

Before automating a task with AI, small and mid-sized businesses should write down how the work really gets done: the shortcuts, exceptions, quiet checks and human decisions, not just the official procedure. A short walkthrough shows what to automate, what to keep with a person, and whether a simpler fix would do.

DevmojosAuthored 6 Nov 2026Written with AI · opinion

If you own or manage a small or mid-sized business, my advice is simple: before you automate a task with AI, sit down with the person who does it and write down what actually happens. Not what the procedure says should happen. Not what you remember approving. The work itself.

I believe this is the most useful starting point because an official process can leave out the very things that make the work succeed. A shortcut that saves unnecessary effort. An exception that needs a different response. A colleague who knows how to untangle an odd case. A final check that nobody thought to include in the instructions.

Those details deserve your attention before you buy or build anything. If your automation follows only the official version, you risk leaving out the steps people quietly perform to get a correct result. In my view, making an incomplete process run faster is not a worthwhile goal.

Start with one task, not an entire department. Ask the person doing it to walk you through a normal case from beginning to end. What starts the work? What information arrives, and where does it come from? What do they open, check, change, send or save? Write the steps in ordinary language. You do not need a polished diagram to have a useful conversation.

Then ask about the cases that do not fit. What happens when information is missing? When two records disagree? When a request falls outside the usual rules? Who decides what to do next? I would pay particular attention to any step explained as something a colleague just knows how to handle. That is a reason to ask more questions, not a reason to assume AI can take over.

Next, distinguish routine steps from decisions that need human judgment. I would consider clear, repeatable steps first for automation. Where someone must interpret an ambiguous request, approve an exception or accept responsibility for a consequential decision, I would keep an explicit human checkpoint. The aim should be to remove unnecessary effort without hiding responsibility.

Before moving on, agree on what finished and correct means. Is the information complete? Has the necessary approval been given? Can the next person use the result without chasing a clarification? My view is that automation needs a clear definition of success, not merely a point at which it stops running.

Keep this exercise proportionate. For a single, bounded task, I would set aside hours, not weeks, for an initial walkthrough. You are trying to understand the work well enough to choose a sensible next step, not produce a manual for the whole business.

Be willing to discover that AI is not that next step. A clearer form, a shared checklist or a simpler approval rule may address the problem you have identified. I would count that as a useful outcome, not a disappointing one.

Devmojos helps businesses turn real processes into working software with AI, and I believe the best automation starts with an honest description of the work.

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