AI economy
Singapore’s AI pilots need an exit decision
Define what turns a small AI experiment into a supported daily process.
Zocri · 2 min read · Sources checked
A pilot is a distinct operating state
Singapore's Ministry of Manpower distinguishes employee use, plans, pilots and integration into business processes in its 2026 AI survey. Its coverage is private establishments with at least ten employees. These categories help clarify progress, but they do not certify the quality of a tool or a business's implementation.
For a smaller company, the useful lesson is to give a pilot a defined ending. Without one, an experiment can quietly become something staff depend on even though nobody has agreed who maintains it, pays for it or handles a failure during a busy day.
Write a graduation contract
Before the trial, specify the job, the users, the permitted information and the result that would justify continued use. A quotation pilot might require an approved draft based on a current price list, with a visible path for missing details and an owner who signs off exceptions.
Choose a review date and an accountable person. This creates a real decision point rather than a recurring subscription with an optimistic label. Also identify which parts can remain manual; a useful narrow process does not need to become an entirely automated sales department.
Test operating responsibility
Ask a second employee to use the process without its original creator present. Have that employee correct an input, explain a rejected result and recover from an unavailable service. Note which steps depend on undocumented knowledge or messages stored only in the creator's personal account.
Check how the business will update reference material. If the price list changes next month, someone must know where to edit it and how to confirm that the assistant uses the revision. Maintenance should be included in the handover, along with access and ordinary support responsibilities.
Graduate, narrow or close
At the review, compare completed work and supervision costs with the starting process. Graduate the pilot when the result is useful and ownership is clear. Narrow it when only a subset of cases works. Close it when the benefit is too small or the operating burden remains unclear.
Retain the brief and findings even if the answer is no. They prevent the next vendor demonstration from restarting the same experiment without learning anything. This decision framework is our analysis; the MOM survey provides the vocabulary for distinguishing experimentation from a process that has become part of daily operations.