Tag: agentic ai
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50 Agentic AI Enterprise Case Studies, Mapped to the Roadmap
This post has one objective: to collate the enterprise agentic AI deployments worth knowing about, analyze what each one actually achieved, and classify it against the Agentic AI Roadmap I published earlier. Most agentic AI conversations stall at the pilot. The more useful question is what happens when an agent reaches production and has to deliver…
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The Agentic AI Roadmap: 5 Levels From Prompted to Autonomous
Instructions in, results out. That was IT. Intent in, outcomes out. That is agentic AI. But an organization does not make that turn all at once. It matures into it. Forty years ago, software engineering needed a way to talk about that maturity and the Capability Maturity Model gave it five honest levels, from ad hoc…
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Agentic AI: You’re Not Running an Agent. You’re Running a Meter.
Why Agentic AI Cost Is an Architecture Problem By Dr. Harish Kotadia, Ph.D. TechCrunch reported that one company received a roughly $500 million bill in a single month, after it forgot to set a usage cap. The token price went down. The bills went up. That is not a pricing problem. It is an architecture…
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Six Lessons Learnt: Claude Implementation
Pitfalls and Lessons learnt: By Dr. Harish Kotadia, Ph.D. Our team delivered an agentic auto loan origination program on Claude. The biggest risk on the plan was never the model. When reflecting on this project, the team discovered unique challenges specifically relevant to managing a Claude auto loan system. It was scope. We had a…
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Agentic AI for the Enterprise: Practitioner’s Field Notes
Agentic AI for the Enterprise: One Practitioner’s Field Notes By Dr. Harish Kotadia, Ph.D. I have spent close to two decades building enterprise systems for Fortune 100 clients. I have watched three real shifts in that time, and I am convinced the one happening now is the largest of them. Over the past few weeks…
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What is Agentic AI? Definition of Agentic AI
A Definition of Agentic AI — From the Practitioner’s Viewpoint “Agentic AI is the next enterprise workload abstraction: a governed, goal-driven software layer in which LLM-powered agents — equipped with memory, tools, and orchestration protocols — autonomously plan and execute multi-step business processes across your cloud, data, and application estate, the way containers once abstracted…
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The Question Every IT Services Firm Is About to Be Asked
A few months ago I was in a working session with a client’s procurement team, and one of them asked a question I haven’t been able to shake since. We were reviewing a managed services renewal, and she said, almost casually: “If your delivery teams are using AI now, why is the price the same…
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I Read 50 Definitions of Agentic AI. Here’s the One the Builders Actually Need
Ask ten experts “What is Agentic AI?” and you will get twelve answers. I know, because I went looking. Over the past few weeks, I systematically reviewed the top 50 definitions of Agentic AI published across peer-reviewed scholarly journals (IEEE Access, Springer’s Artificial Intelligence Review, MDPI Future Internet, F1000Research), the leading industry research firms (Gartner,…
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Agentic AI: 50 Authoritative Definitions — The Complete Citation Compendium (2026)
What exactly is Agentic AI? Ask ten experts and you’ll get ten answers — and that’s not a bug, it’s the most important insight in this space right now. Multiple credible sources, from MIT Sloan Management Review to Gartner, explicitly acknowledge there is no single universally agreed-upon definition. This compendium aggregates 50 authoritative definitions drawn…
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Agentic AI: The hidden cost of NOT doing it RIGHT
Most enterprises are still running linear LLM chains and calling it “AI transformation.” Here’s what that’s actually costing you: Fact 1: Organizations running agentic workflows report up to 35% gains in operational efficiency and materially faster task execution. Your competitors aren’t waiting. Fact 2: Gartner says 40% of enterprise apps will embed task-specific AI agents…