A useful AI conversation starts with a job you want done. That might be drafting a quote follow-up, turning site notes into a clear summary, or finding information without ringing the owner.
A good demo is a reason to investigate, not proof the tool fits your shop. Here are the questions we would work through.
Does it fit a normal working day?
Ask someone who would actually use the tool to try it on a routine task. Can they capture the information without extra steps? Does the office receive something useful? Would the crew have to type the same details into another app?
Could your current software do it already?
Check reminders, templates and integrations in the system you already pay for. A straightforward reminder may only need a rule. AI may be worth considering when the work involves interpreting notes or drafting text.
What needs a person's review?
Customer-facing messages, job summaries, pricing and technical details need an appropriate check. Find out who handles mistakes and whether that review takes more effort than the original task.
What would a fair trial look like?
Choose one workflow and record the starting point: time spent, re-entry, errors and response times. Agree what a useful improvement would look like before the trial begins.
Include subscription fees, setup, training and ongoing checks. Pick a review date that gives you enough real work to judge; a quiet month or a long sales cycle may need more time.
What should you ask the provider?
- Can we test it with a realistic example?
- Does it connect to our software, and what does that connection cost?
- What information does it use, and how is it handled?
- Who checks the output and deals with failures?
- Can we export our information if we stop using it?
At AI4 Trades, we look at the work first and the tool second. Which task would give you the clearest small test?