Tag: Five-Stage Agentic AI Roadmap
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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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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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Agentic AI in Regulated Industries: Case Studies Proving Skeptics Wrong
The ABA Banking Journal recently reported on the broader shift now underway across financial services, from Anthropic’s ten ready-to-run agent templates for pitchbooks, KYC screening, and month-end close, to a major wealth management firm’s advisor note-taking agent, to another wealth management firm rolling out its own operations agent enterprise-wide. That firm was careful to note…