Where AI actually pays

The AI projects that produce a return are usually the least impressive to describe. They sit inside an existing process, remove a step a person used to do by hand, and quietly stop being remarkable.

The ones that fail tend to start from the technology. Someone decides the company should use AI, a capable team builds something genuinely clever, and nobody can say which cost line it moved.

Ask a duller question first: where does work currently stall, wait, or get re-entered? That is where a model earns money. Everything else is a demo.

The second failure mode is trust. If the people who depend on the output cannot see why it produced what it produced, they will keep the manual process running in parallel, and you will have paid for both.