Beyond hours saved: Building the business case for agentic automation
Traditional RPA ROI models miss most agentic automation value by ignoring exceptions, decisions, and workflow redesign.
“for every dollar invested in agentic technology, organizations spend three on process redesign and five on capability building and adoption. However, most companies invert this formula entirely”
AWS ML Blog introduces the 'Agentic Value Model,' a four-dimension framework for AI CoE leaders to build business cases beyond the hours-saved calculus borrowed from RPA. The post argues that agentic value lives in exception handling, decision quality, and workflow redesign rather than the task itself. It cites McKinsey's 1:3:5 spending pattern finding to underscore that most enterprises misfund the change management needed to realize agent ROI.