How to Identify Your First AI Automation Opportunity

Look for work that happens often, follows a recognisable pattern and consumes meaningful time. Examples include lead research, recurring reporting, inbox triage or preparing meeting context.

Choose a repeatable workflow

Avoid starting with irreversible actions, sensitive decisions or a process nobody owns. A low-risk preparation workflow gives the team a way to learn without weakening control.

Keep risk manageable

Write down the current steps, systems, handoffs and approval points. Define a baseline, test representative cases and record exceptions. A useful result includes what the automation did not handle.

Map, test and measure

The best first automation is rarely the biggest process. It is a bounded workflow where the team can see the inputs, define a good result and measure whether the change helped.

Practical next steps

• Choose a workflow with a clear owner and outcome.
• Document the inputs, decisions, approvals and exceptions.
• Test a small version and measure what changes.