An AI assistant can summarize a meeting in seconds and still leave someone with the same messy notes, the same follow-up emails, and one more place to check. That gap between a convincing demo and a useful tool is where the important software story begins. At KikoBits, we look for changes to the workflow, not just changes to the interface.
Find the step it replaces
Start with a task people already perform: sorting support requests, searching internal documents, or turning a rough outline into a first draft. Then ask where the AI feature sits in that process and what still needs a human decision. If it adds another review screen without removing work elsewhere, the benefit may be smaller than the demo suggests.
Notice the hidden costs
Useful software has to fit the tools, permissions, and habits around it. A feature that needs broad access to company files raises different questions from one that works on a user-selected document, and a confident answer still needs a way to check its source. Teams should also know what information is retained and who can see it before making a new tool part of routine work.
Judge the ordinary Tuesday
The most revealing test is not a showcase task; it is the repetitive, slightly inconvenient work that returns every week. Does the feature save a step without making errors harder to spot? Does it behave consistently enough that people will remember to use it? Those answers tell us more about a software shift than a launch-day promise.