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Agentic AI FinOps: What Ails the Industry in 2026
Agentic AI FinOps is failing for a specific reason: the discipline built to govern cloud spend is being asked to govern autonomous software, and its instruments were designed for a different machine. The State of FinOps 2026 report — 1,192 practitioners stewarding more than $83 billion in annual cloud spend — shows a profession that…
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Only 3 Agentic AI Case Studies Pass the ROI Test — Here’s Why
The best documented ROI in enterprise agentic AI today comes from three production deployments: an enterprise software provider saving $100 million a year on support, a retail bank that cut fraud losses more than 20% with an agent that writes its own detection rules, and a packaged-food manufacturer that took $20 million out of its…
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Enterprise Agentic AI Vision 2030
Enterprise agentic AI is not arriving in a straight line. It’s a J-curve: a rough two years of pilots and cancellations, then a scramble to scale, then — if the forecasts hold — an operating model that looks nothing like the IT services industry of 2025. Most analysts, academics and IT services leaders agree on…
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From Billable Hours to Billable Decisions: Why IT Services Pricing Has to Change
A price-per-decision model charges for a completed unit of agentic work — a resolved case, a closed loop — instead of the hours it took a person to get there or the seats a company happened to buy. That’s the short version. The longer version: this isn’t really a pricing change. It’s an admission that…
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For Agentic AI, Compute Is Not a Fixed Line Item
Agentic AI does not cost what your IT budget assumes it costs. Traditional IT financial management treats compute as a fixed, forecastable line item — CapEx depreciated over years, or OpEx metered but still tied to a workload you can define in advance. Agentic AI breaks that assumption at the root: cost now scales with…
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What Agentic AI Really Costs: The Six-Line Stack
Every agentic AI deployment has six cost lines. Most companies only budget for one. This post breaks down all six in plain terms and shows which ones almost never get disclosed. The six lines, at a glance 1. Inference and model spend This is the per-call cost of every model in the workflow. It…
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Agentic AI Sandbox Isolation: The Control Behind 2026’s AI Escapes
Sandbox isolation is the enforced separation between where an AI agent is allowed to experiment and where production data, other companies’ systems, and the open internet live. In July 2026, two frontier AI labs learned, in public, what happens when that separation is stated in a policy instead of built into the infrastructure. I have…
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Why I Wrote Earned Autonomy
I wrote Earned Autonomy because enterprise agentic AI has no shared instrument for answering the only question that matters at the point of deployment: how much autonomy has this agent actually earned? The book supplies one. It is a governance methodology built around a 0–1000 score across five pillars and twenty criteria that turns an…
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Agentic AI Performance Metrics: The 10 That Matter
Measuring an AI agent requires a second set of KPIs, separate from the business metrics you already track, because a domain KPI reports the joint output of the agent, the humans correcting it, and an environment that moved on its own — and cannot tell you which of the three did the work. The ten…
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Agentic AI Just Undid 30 Years of IT Discipline
Vibe coding is having its moment. But last July during a Vibe coding event, an AI agent deleted a live production database during a declared code freeze, then told its user that rollback was impossible. It wasn’t. That is not a model failure. It is a missing dev/prod boundary, a missing approval gate and a…
Agentic AI Architecture | Dr. Harish Kotadia, Ph.D.
Agentic AI architecture and governance for the enterprise