A useful starting point is a business outcome you want to improve: faster turnaround, fewer avoidable errors, more capacity or a clearer customer experience. The technology decision comes later.
For a smaller business, one well-chosen process is usually easier to learn from than a broad programme. The aim is to understand the work, choose a proportionate response and measure what changes.
Find recurring friction in the work
Ask process owners where time is repeatedly lost. Look at handoffs, duplicated entry, document preparation, information searches and customer follow-up. A useful candidate has a recognisable starting point, an owner and a recurring cost in time, quality or service.
Describe the problem before naming a tool. ‘Quotes take too long because product details sit in several places’ gives a team something concrete to investigate.
Check the foundations for a small test
Readiness is practical. Can the team access reliable inputs? Is the workflow sufficiently understood? Who will review outputs and decide whether the change helped? Do affected employees have time and support to try a new routine?
Readiness gaps help define the first step. A process with scattered source information may benefit from clearer ownership and tidier records before new software is introduced.
Choose the method that fits the work
A stable, repeatable rule can often be handled by conventional automation. AI becomes more relevant when the work involves interpreting varied documents, drafting from context or handling questions that do not follow one fixed path. Some decisions still need direct human judgement and safeguards.
This distinction keeps the solution proportionate. It also makes the review points, exceptions and accountability easier to define.
Prioritise value and feasibility together
Estimate the expected value of improving a process, then consider how feasible a controlled change would be. Frequency, staff time, business importance and avoidable friction affect value. Digital inputs, system access, review practicality and team readiness affect feasibility.
A high-value process may need preparation before a pilot. A feasible but modest opportunity may be worth a small experiment if it teaches the team something useful.
Run one controlled use case and measure it
Set a narrow scope, a process owner and a clear human review point. Record a baseline before changing the workflow. Then compare a few measures that matter: turnaround time, rework, quality, capacity or customer response.
Ask employees whether the new method fits their day-to-day work. A pilot is valuable when it improves the outcome and can become a dependable routine. Use the evidence to adjust the process or choose a different approach when needed.