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The Agentic Imperative Series Part 5— Return on Investment of Agentic AI: A business leader’s Perspective
Explore how Agentic AI is poised to reshape industries, driving strategic transformation, measurable gains, and lasting competitive edge — if leaders embrace change.
In the first part of this 5 part series, I started discussing Model Context Protocol: Bridging AI and Enterprise Reality — In this second part, we spoke about Crew AI & Semantic Kernel Orchestrating Collaborative Intelligence, and in the 3rd part we spoke about LangChain & LangGraph: Building Dynamic Agentic Workflows. In the fourth part of this series, we discussed Agentic AI frameworks like Manus, and AutoGen.
In this 5th and final part, we will review the compelling ROI of agentic AI across industries, highlighting millions in cost savings — like UPS’s $300M annual logistics reduction — and revenue gains, such as banking’s $34M boost from enhanced client acquisition. We’ll underscore strategic benefits beyond numbers, including workforce focus on high-value tasks and global adoption trends, tempered by challenges like data security and change management. Key takeaways will emphasize prioritizing quick-win use cases to drive measurable returns and long-term transformation. I would start by saying that:
