Beyond hours saved: Building the business case for agentic automation
In this post, we introduce a framework AI CoE leaders can use to build a business case that captures the full value of agentic automation.
Key points
- Agentic automation, software that reasons and adapts to complete tasks, is showing up on AI center of excellence (AI CoE) roadmaps.
- But the standard way companies justify automation investments, hours saved times labor cost minus build cost, was designed for rule-based tools like robotic process automation (RPA).
- You will learn why the RPA-era ROI model falls short, how to measure the value it misses, and which workflows are worth automating with agents.
- Underfunding the work that turns saved hours into results is the mistake McKinsey says companies keep making: successful AI transformations follow a “1:3:5 pattern,” where “for every dollar invested in agentic technology, organizations spend three on process redesign and five on capability building and adoption.
Sources (1)
- [1]Beyond hours saved: Building the business case for agentic automationAWS Machine Learning Blog · Oct 7, 03:50 PM
In this post, we introduce a framework AI CoE leaders can use to build a business case that captures the full value of agentic automation.
Agentic automation, software that reasons and adapts to complete tasks, is showing up on AI center of excellence (AI CoE) roadmaps.
Extractive summary: sentences quoted from the sources.