When companies evaluate an AI solution, performance is usually the first thing they look at. How accurately can it read documents? How quickly can it retrieve the right information? How much time can it save compared with existing workflows? But once a solution moves beyond a PoC and into real operations, the evaluation criteria become broader. Companies also need to know whether AI-generated outputs can be verified, whether issues can be traced back to a specific stage in the workflow, and how