Start by identifying repeatable tasks with high volume and clear rules, then prioritize workflows where time-to-value is short.
Successful automation projects define baseline metrics first, such as turnaround time, error rates, and throughput, so performance improvements can be measured after deployment.
For most organizations, the best outcomes come from combining process mapping, AI-assisted decisioning, and human review gates where risk is higher.
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