Choosing a first AI use case in a construction company
A good demo isn't a use case. Start with a narrow task, a defined set of trusted source documents and a person who can tell when the output is weak or the question falls outside those limits.
- Theme
- Practical AI
- Published
- 26 August 2026
Name the help without handing over the decision
Describe the input, the useful output and the human decision that follows. Tasks such as locating the relevant clause in your own procedures, classifying a controlled record or preparing a first draft are easier to evaluate than a broad ambition to automate knowledge work.
Also name what the system must not do. A boundary that only describes success is incomplete.
Source and consequence decide the review needed
An assistant cannot make fragmented or conflicting source material authoritative. Check who controls the source, how changes are handled and whether the permitted material is enough for the task. Often the more valuable first step is fixing the source documentation itself.
Then consider what a plausible error could cost. The more damage it could do, the stronger the review needs to be, with clearer traceability or a decision not to use AI for that step.
- 01 Is the source controlled, current and permitted?
- 02 Can a reviewer recognise a weak answer?
- 03 What happens if the output is confidently wrong?
- 04 Can the result point back to supporting material?
- 05 Who decides when to change or withdraw it?
A prototype still needs an owner and a stop rule
Test with representative, ambiguous and out-of-scope examples instead of a polished demonstration set. Record how output is checked, where the resulting decision lives and how users raise uncertainty. Go further only when your team can run the use case on purpose, including watching for source changes and pausing the assistant when its assumptions no longer hold.