New Framework Builds Stronger Case for Agentic Automation

The traditional ROI model used to justify automation investments, hours saved multiplied by labor cost minus build cost, was designed for rule-based RPA tools and misses most of the value agentic automation creates. A new Agentic Value Model measures four dimensions: time savings, exception handling, decision quality, and change resilience. Critically, freed hours only reach the P&L if a defined mechanism converts them into real savings, such as reduced headcount or lower overtime. McKinsey notes successful AI transformations spend three dollars on process redesign and five on capability building for every dollar on technology, a ratio most companies invert.