Your first AI pilot should survive a bad answer

The first AI pilot often looks successful at the easiest moment: a fluent draft appears in seconds. The harder test comes next. Someone has to check the facts, correct the omissions and decide whether the output is safe to use. If that work takes longer than the original task, the demonstration has not become a business improvement.

Choose a workflow whose errors you can see and contain. An internal draft with a responsible reviewer is a more manageable experiment than an automated decision that changes a customer’s access, money or obligations.

Start with work the team already understands

List five recurring tasks and ask the person doing each one where the effort goes. Separate collecting information, drafting, checking and handing over. A task with unclear inputs may need a better process before it needs a model.

For a fictional Singapore services firm, a reasonable experiment might be drafting an internal handover from an approved enquiry record. The output stays inside the team, a person checks it, and missing information is marked as missing. That is a proposed example—not a customer case study or evidence of savings.

Build the test before choosing the tool

Keep a small set of synthetic or appropriately approved examples, including awkward cases. Include an incomplete request, a conflicting date and a record that does not contain the answer. Write the expected behaviour for each one before running the pilot.

• Facts must be traceable to the supplied input.
• Missing information must remain visibly unresolved.
• No promise, price or deadline may be invented.
• A named person approves the handover before it is used.

A polished paragraph that fails these checks is a failed output. Decide that in advance, while there is still no impressive demonstration to defend.

Measure the whole task

Record the original completion time, then the assisted drafting time, review time and rework. Count serious errors separately from formatting corrections. Use the same task scope when comparing; a draft and an approved deliverable are not equivalent outputs.

For illustration, a draft that saves eight minutes but adds ten minutes of checking has made that case slower. Those numbers are hypothetical. Your own baseline must come from the work being done, including the downstream person who receives it.

Use Singapore’s official resources to sharpen the brief

IMDA’s SMEs Go Digital resources provide a local starting point for digitalisation research. IMDA also describes its CTO-as-a-Service initiative, which was developed to help SMEs identify needs and access digital expertise.

Bring a concrete workflow and its unresolved questions to any advisory conversation. Verify current service arrangements and eligibility directly; the existence of a programme does not establish that your business or chosen solution qualifies for support.

Decide how the pilot stops

Name an owner, a review date and the conditions that would pause the experiment. Make sure the team can return to the existing process. If the model repeatedly invents missing details, narrowing the task or ending the pilot may be the useful result.

The strongest first project is one the team can explain without the word AI: a clearer handover, less duplicate work, or a draft that becomes an approved result with less total effort. Keep that outcome as the measure when deciding whether to expand.

Common questions

Sources and editorial notes

IMDA resources checked on 20 September 2026. The workflow, evaluation checklist and numerical illustration are original editorial examples, not measured customer results or a claim of grant eligibility. No personal or confidential business data is needed to reproduce the example. See how to document the process before handing a pilot to a wider team.