Where AI automation helps—and where human judgement matters.

Map the process before automating

Document current steps, inputs, exceptions and pain points. Automating a confusing process often makes confusion happen faster.

Choose repeatable, bounded tasks

Summarising known information, classifying routine requests or moving structured data may be suitable starting points when risks are understood.

Define guardrails and review

Set rules for sensitive data, uncertainty, escalation and human approval. Important decisions should not be delegated blindly to AI.

Test against real examples

Evaluate quality, failure modes, consistency and time saved. Include edge cases, not only ideal inputs.

Improve iteratively

Start with a limited workflow, monitor results and refine before expanding its role.

Technology should solve a clearly defined problem and make the next step easier.