Spotting a Good AI Use Case · 1/2
What AI is actually good at
AI tends to succeed on problems that share a few traits: there's a large amount of historical data to learn patterns from, the task is repetitive and well-defined, and an occasional mistake is tolerable rather than catastrophic. Sorting support tickets by topic, flagging unusual transactions for a human to review, or drafting a first pass at a routine report are all good candidates because the pattern is learnable and the cost of an error is a wasted minute, not a disaster.
The strongest use cases are also ones where a human is still in the loop for anything that matters. AI is excellent at narrowing a large set of options down to a few worth a person's attention, which is a very different job from making the final call unsupervised.