Less repetitive work. More room to think.

Choose one process you can explain

A useful starting point is a task that happens often and follows a recognisable pattern. Before automating it, write down how it works today. An unclear process can become harder to understand when its steps are hidden inside software.

• What starts the process?
• Which information does it need, and where does that information come from?
• Which steps follow clear rules?
• Where do exceptions or judgement calls occur?
• Who owns the next action when something goes wrong?

Practical areas to explore

Capabilities can include assembling draft documents and letters, moving agreed information between tools, supporting payment-allocation workflows, and organising enquiries or follow-up tasks.

As an illustrative example, information from an approved record could populate a draft letter, flag missing fields and place it in a review queue. A person would check the draft before it is sent. This describes a possible workflow, not a delivered project or a measured result.

Keep judgement where it belongs

Automating a step does not remove responsibility for what happens next. Permissions, review points and a clear way to stop or correct a process matter, especially when it involves payments, sensitive information or communication with other people.

Rule-based automation is useful for predictable steps. AI may help with less structured information, but its outputs need checks suited to the task. A confident-looking answer can still be wrong.

Measure whether the change helps

Choose a few measures before changing the process. You might track how long work waits for a handover, how often information is entered twice, how much rework is needed or whether people can find the current status.

Compare the new way of working with that starting point. Include the effort needed to maintain the automation and handle exceptions. Useful progress is something the team can recognise in its day, rather than an impressive-looking demo alone.