Run a construction AI pilot on one workflow

Choose an outcome you can observe

Good pilot candidates have a defined input and a finish you can inspect: a field report reaching review, an enquiry reaching a callback owner or a crew assignment receiving acknowledgement. Avoid a first project described only as “use AI to improve productivity.” It is too broad to diagnose when results are mixed.

Write the workflow in a few sentences: who starts it, what information is required, where the output belongs and who handles exceptions. Include the systems and people already involved. If the current workflow has no owner, assigning one is part of the pilot rather than a problem the AI should quietly solve.

Record the ordinary process first

Use a representative slice of real work with sensitive information removed where possible. Record eligible volume, missing information, correction effort, unresolved tasks and time spent by the office. Note unusual conditions such as a holiday week or a one-off project surge.

Keep measured facts separate from assumptions. A reduction in manual follow-up minutes can be observed. Revenue recovered from a missed enquiry remains an assumption until a real customer outcome supports it. Avoid comparing a difficult month before the pilot with a quiet week after it and attributing every difference to the tool.

Include failures in the test set

Create cases with a missing job, an ambiguous date, an unavailable recipient, a corrected detail and a rejected destination write. Include the languages and channels the team will actually use. Keep expected outcomes written down so a confident but wrong answer is not rewarded.

Start in draft or review mode where appropriate. Name the person who can pause the workflow and define what triggers a pause. Check that retrying a failed action does not create duplicate records. NIST’s risk-management guidance supports explicit oversight roles; the specific test set and acceptance decisions remain your team’s responsibility.

Sources: NIST AI Risk Management Framework: task definition and oversight

Decide whether to expand, revise or stop

At the review point, compare results with the baseline and inspect a sample of individual records. A favorable average can hide one repeated failure on an important call type. Document what changed during the pilot so later reviewers can understand the result.

Buildalytic’s deployment page describes available deployment approaches. Bring the one-workflow brief to a demo and ask which parts are standard, which require configuration and what the team must operate. Choose a larger rollout only when the outcome, permissions and recovery path are sufficiently clear for the people responsible for the work.

Sources: Buildalytic: deployment