AI that earns its place

The fastest way to ruin a good product is to bolt a chatbot onto it and call that the AI story. We do the opposite. Before a model goes anywhere near a workflow, it has to earn the slot.

The test

We ask three questions, and a model has to pass all three.

• Is the input messy? AI earns its place where the input is unstructured — free text, a scanned form, a half-finished thought. If a dropdown would do, use the dropdown.
• Is the output reviewable? A person should be able to glance at what the model produced and know in seconds whether it’s right. Draft, don’t decide.
• Does it save real time? Not “feels modern” — minutes back in someone’s day, measured.

Where it usually lands

In practice, the model does the unglamorous middle: it reads, summarizes, classifies, and routes. People keep the judgment calls. That division is the whole game — the software gets faster without anyone losing the thread of what’s happening.

When a model can’t clear the bar, we leave it out. A quiet, reliable rules engine beats a clever one that’s wrong on a Tuesday.