A grounded way to identify automation opportunities without digitising waste or hiding unclear ownership inside software.
Map the process before the tool
Document the trigger, inputs, decisions, exceptions and owner of every step. If the team cannot agree on the current process, automation will encode confusion rather than remove it.
Choose repetitive, rule-based work
High-volume data transfer, routine validation, notifications and document generation are strong candidates. Work that depends on nuanced judgment may benefit from better information rather than full automation.
Define a measurable baseline
Record cycle time, error rate, waiting time and manual effort before implementation. A baseline turns the automation discussion from opinion into an observable business result.
Keep an exception path
Real operations contain incomplete data and unusual cases. Provide clear queues, ownership and recovery actions so exceptions remain manageable instead of disappearing inside the workflow.
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