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Agentic AI Lesson: Governed Scales, Headcount-First Gets Rolled Back
Agentic AI is software that takes a goal, plans the steps, uses tools and takes action toward an outcome with limited human supervision — not a chatbot that only answers questions. I picked two 2025–2026 banking deployments from public reporting because they ran the same play in the same industry and landed in opposite places.…
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Agentic AI Thought Leader Badges – Here Is the Work Behind Them.
Honored to be recognized by Thinkers360 with five Agentic AI thought leader badges: Top 10 in AI Orchestration, Top 10 in AI Safety, Top 25 in Agentic AI, Top 50 in AI Infrastructure, and Top 100 in AI Governance. I am grateful for the recognition. But badges are an output, not an input. What earned…
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What Is Agentic AI Technology? A Practitioner’s Field Map of the Enterprise Stack
“Agentic AI technology is the software stack that lets an enterprise hand a system an outcome to achieve rather than a script to execute” © Dr. Harish Kotadia, 2026 — the model, memory, tools, identity, guardrails, and observability that turn a goal into governed, auditable action. Instructions in, results out — that was IT. Intent…
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Why Agentic AI Budgets Are Surging in 2026 — and the Fix
Agentic AI budgets are breaking in 2026, and not because the models are bad. They are breaking because enterprises are deploying agents without mapping token spend to projects and outcomes. Agentic AI cost attribution is the practice of tagging every token an agent consumes to a named project, workflow, and owner, so that spend can…
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Why I Wrote This Book on Agentic AI
Over the past eight months, I have had the opportunity to speak with senior technology professionals at Fortune 500 companies while evangelizing agentic AI solutions. What I realized surprised me: many of them were not doing agentic AI right. Not because of lack of talent or budget, but because they lacked a clear definition of…
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Two Agentic AI Deployments, One Contained, One Catastrophic
The Difference Was Operational Risk Management Summary: Of the two 2025 agentic AI coding deployments compared here, one sits at Stage 3, Governed, on my Agentic AI Roadmap, and one operated at Stage 2, Piloted, while being marketed as Stage 5, Autonomous. The gap between them was not model capability. It was whether the agent’s…
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11 OpenAI Agentic AI Case Studies Analyzed and Mapped
Quick answer Of the 11 OpenAI case studies analyzed here: 1 sits at Prompted, 3 at Piloted, 3 at Governed, 3 at Assured, and 1 at Autonomous. This is the most evenly distributed maturity spread across OpenAI, AWS, and Claude vendor case studies analyzed in this series. Companies that reach Assured or Autonomous share one…
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Agentic AI Autonomy Trap: Healthcare vs Fintech Case Study
Two Agentic AI Case Studies – One Success, One Reversal And What Separates Them I have spent this year documenting agentic AI wins. This edition is different. I want to put a genuine success story next to a genuine reversal, side by side, because the gap between them is not about the technology. It is…
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Agentic AI’s Autonomy Trap – A Case Study
I have spent this year writing about agentic AI wins across banking, healthcare, and manufacturing. A European fintech company is the case I keep coming back to for a different reason. It is the clearest public record of a company that pushed straight past Governed toward a claimed Autonomous, skipped the Assured stage of my…
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Agentic AI in Healthcare: The Prior Authorization Case Study
For as long as I have been building agentic AI systems, I have heard a version of the same objection when the conversation turns to healthcare. Protected health information cannot touch an AI agent, they say. The liability is too high, the compliance burden too strict, the margin for a confident wrong answer too thin.…
Agentic AI Architecture | Dr. Harish Kotadia, Ph.D.
Agentic AI architecture and governance for the enterprise