01

Begin with the business problem

Ask where the team spends the most time each week, which steps are missed, where customers wait and which data is copied between systems.

A concrete workflow such as how a website enquiry is classified, assigned and followed up is easier to design and measure than a broad goal such as using AI to improve sales.

02

Four criteria for the first AI project

A good pilot has clear boundaries, enough repetition, accessible data and a practical human review step.

  • Value: saves time, lowers errors or improves customer experience
  • Feasibility: current data and tools can support a test
  • Risk: the team can pause, correct and take over
  • Measurement: there is a baseline such as time, omissions or response speed
03

Common pilot directions for SMEs

A service company might start with enquiry classification and reply drafts. An administrative team can test document extraction. Management can compile weekly reports, while marketing can build a topic-to-approval content workflow.

This does not hand an entire job to AI. AI usually organises and drafts, while employees handle judgement, exceptions and customer relationships.

04

How should a pilot be measured?

Record current time, cost, errors and volume before launch. Compare the same measures after the pilot and collect staff feedback and exceptions. A workflow has not succeeded if it merely moves work to another person or creates excessive review.

A successful project can expand gradually. A weak result should be fixed or stopped, without forcing adoption simply because a tool has already been purchased.