Describe the job before choosing the tool
“We need to use AI” is an ambition, not yet a useful project brief. “Our team spends hours finding answers across internal documents” gives you something concrete to investigate.
Describe the current task, who does it, what information they use and what a good result looks like. Then consider whether AI, a simpler rule-based automation or a process change is the right fit.
Keep a person responsible for the result
AI output can be incomplete or incorrect. Decide which parts of the task need checking, who will check them, and what should happen when the system is unsure.
For an initial trial, choose a bounded task where a person can review the result before it affects a customer or a consequential business decision.
Understand the information involved
Check which information a tool needs and whether your business is permitted to share it. Review access, retention and the provider’s current terms before putting sensitive information into a new service.
Often, organising information and clarifying access are necessary groundwork. A new tool will not automatically fix incomplete records or conflicting instructions.
Measure the whole task
Include the time needed to prepare inputs, review outputs and correct mistakes. If the overall task does not become easier or more reliable, the trial has still taught you something useful.
A sensible AI project starts small, has a clear owner and earns its place through practical results.