2026-11-13 · 6 min · Curve Infotech Editorial
How to scope an AI automation programme
A useful AI programme starts from one workflow, a definition of done, and a place for the cases the system must not handle alone.
Teams often begin with a model and then look for a process. The programmes that survive start the other way around: name the work, the volume, and the cost of getting it wrong.
Start with one queue
Pick a queue a person already owns. Write down the inputs, the systems that must change, and the decision that still needs a person. If those three things are unclear, the automation is not ready to build.
Separate rules from language
Calculations, permissions, and status changes should stay deterministic. Use a model where the input is language and the output can be checked. Put everything else in ordinary software.
- Define the cases that must stop for review.
- Keep an evaluation set from real, approved examples.
- Name the operator who owns the exception queue after launch.
