Category: Artificial Intelligence
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Why Intuit Replaced Multi-Agent AI With a Skill-Based Architecture
For most of 2025 and into 2026, the default answer to “how do we scale enterprise AI” was: add more agents. Spin up a planner agent, a research agent, a writer agent, a reviewer agent, wire them into a multi-agent system, and call it orchestration. Intuit tried that too. Then it tore the design apart…
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Microsoft Frontier Company: A $2.5B Bet on Enterprise AI Deployment
On July 2, 2026, Microsoft launched Microsoft Frontier Company, a new operating business backed by $2.5 billion and roughly 6,000 industry, engineering, and AI experts whose only job is to embed with customers and make AI systems actually work in production. Four days later, Microsoft cut nearly 5,000 jobs. Reading those two events together tells…
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The AI Legacy Modernization Framework Financial Firms Actually Need
On February 23, 2026, IBM’s stock dropped 13% in a single day — its worst day since October 2000 — after Anthropic announced Claude Code could map dependencies, document workflows, and surface technical debt across COBOL mainframe codebases. Markets treated an AI coding announcement as a systemic threat to a business built on legacy modernization…
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Agentic AI Discovery: The First Discipline of the Infinite Workforce Era
There are moments in economic history when a new instrument does not merely improve the old machine, but changes the nature of the machine itself. Agentic AI is such a moment. It is not another dashboard, another automation layer, another productivity tool added politely to the corporate stack. It is the emergence of a new…
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Measuring Agentic AI Developer Productivity: A CTO’s Framework
I spent most of June looking at dashboards that told me my engineering org had never been faster. Pull requests were up. Commits were up. Every chart pointed the same direction: more. Then I asked a harder question. How much of that output actually shipped, stayed shipped, and mattered to a customer? The answer humbled…