Judged on one question only: does it give back more hours than it costs to run and to supervise.
A small team does not have a pilot budget or someone whose job is to evaluate tools. So the decision has to be arithmetic, not enthusiasm.
Take the task. Measure how long it takes today, honestly, over a normal week rather than a bad one. Then run it with the tool for a week and measure two numbers, not one: the time to produce, and the time to check and fix. The second number is the one that decides. A tool that halves production and triples checking has cost you time while feeling modern.
Against that, put the full running cost: the subscription, multiplied by the seats that will actually need it, plus the hours someone spends learning it and keeping it working. A tool that saves two hours a month and costs a seat per person across a team of eight is not a saving.
The pattern that holds up is narrow and repetitive work with a cheap failure mode. Turning a week of messy notes into a structured document. Drafting the fifth version of a standard reply that a human then edits. Extracting fields from documents that arrive in a predictable shape, with a human reading the result before it matters. First-pass triage of an inbox, where being wrong means a message is read a bit later rather than never.
It goes wrong where the output touches money or a legal commitment without a person in between, where the input arrives in a shape nobody controls, and where the tool becomes a dependency that only one person in the company understands. That last one is the quiet risk in a small team: the automation survives exactly as long as the person who built it stays.
Three cheap models, 8 meetings, four transcript formats. They find 94.8 percent of the real actions. What they add is the problem: work cancelled during the meeting comes back on one list in five, with somebody's name on it.
Read the articleThree cheap models, 8 address books, four levels of mess. Finding duplicates is the easy part, 94.1 percent. The number that costs you a record is how often two different people get fused with nothing to warn you.
Read the articleThree cheap models, 24 invoices, four levels of messy text. Accuracy is the easy number. The one that costs money is how often a wrong extraction comes back with no warning at all.
Read the articleA small team cannot afford a pilot programme or a tool evaluator. So the decision has to be arithmetic. Here is the calculation, including the cost everyone forgets.
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