How AI Is Changing Business Automation

Rules-based automation is excellent for predictable inputs and fixed outcomes. AI becomes useful when work involves language, classification, summarisation, or patterns that are difficult to express as rules.

The best workflows often combine both approaches and keep people involved where context, judgement, or accountability matters.

Track accuracy, review effort, cycle time, user trust, and the cost of mistakes. A fast automation that creates more correction work is not an improvement.