Beyond hours saved: Building the business case for agentic automation
TL;DR
The RPA-era ROI model misses most of the value agentic automation creates. This post gives AI center of excellence leaders a framework to size the full value of agents across time savings, exception handling, decision quality, and maintenance economics, and to prioritize which workflows to automate first.
Nauti's Take
Start with a workflow that has frequent exceptions and decisions you can measure clearly. Track escalation rates, error costs, review time, and ongoing maintenance for several weeks before approving wider automation, because headline time savings rarely capture the full operating cost.
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