What people use decision AIs for
Decision AIs don't write essays: they answer yes/no, pick one option, or rate on a scale, with a probability for every answer. That makes them fast, cheap and easy to automate.
Route support tickets
Send each ticket to billing, technical or sales, and flag the urgent ones.
Moderate comments
Approve, hold for review or remove, with a confidence you can set a threshold on.
Spot scams and phishing
Score how risky an email or text is before anyone clicks the link.
Qualify sales leads
Rate buying intent and pick the right segment from a form or email.
Check expense claims
Does this receipt follow the travel policy? Which ones need a manager?
Grade AI answers
Judge whether a chatbot reply is correct, on-brand and safe to send.
Triage documents
Classify contracts, invoices or CVs and pull out the ones that need a human.
Understand reviews
Would they recommend it? What's the main complaint? How many stars?
Good practice
Three rules for decision APIs in production
Ask for a decision, not an essay
Phrase each question as yes / no, pick one or a scale. You get a structured answer with a probability, so there's nothing to parse.
Put a threshold on the probability
Act automatically when the model is sure and send the borderline cases to a person. The Yes-if and Margin settings on every test show how.
Test with known answers first
Write a few examples where you know the right answer and check every model against them before you trust it in production.