The best automation opportunities are usually hiding in plain sight: repetitive, rules-based tasks that consume skilled people's time and introduce avoidable errors.
Target high-volume, low-variation tasks
Data entry, document processing, status updates and routine approvals are strong first candidates. They are frequent, well-defined, and their outcomes are easy to verify.
Keep a human in the loop where it matters
Automation should remove drudgery, not accountability. For decisions with real consequences, design workflows where AI proposes and people confirm.
Measure before and after
Establish a baseline — time, error rate, throughput — before automating, so the value is clear and the case for expanding is grounded in evidence rather than hype.