All Writing

Architecture teardowns, strategy playbooks, and honest perspectives on enterprise AI.

The Semantic Layer Is the New API for AI Agents

AI agents hallucinate because your data has no shared vocabulary — not because models are bad. The semantic layer fixes that for humans and machines alike.

Why Your AI Agent Needs a Performance Review (Literally)

An agent that resolved 85% of requests in testing saw customer satisfaction drop 12% within three weeks of production. Your logs showed green across the board. Traditional monitoring missed it entirely.

Your AI Agent Just Made a Decision. Who's Accountable?

80% of organizations have encountered risky behavior from AI agents. Three frameworks are emerging to fix this — but most enterprises haven't adopted any of them.

The Death of the Copilot: Why Enterprises Are Abandoning Assistive AI

Gartner predicts over half of enterprises will stop paying for copilots by 2028. Only 28% of AI use cases meet ROI expectations. Here's what comes next.

When the CEO Becomes the Chief AI Officer: A Framework for Measuring What Matters

75% of CEOs now own AI decisions. But most are measuring the wrong things. Here's a framework for measuring AI ROI that actually tells you if it's working.

AI Sovereignty Isn't Just a Government Problem — It's Your Next Board Question

Sovereignty isn't a compliance checkbox. It's an architecture decision that determines whether your AI can survive the next regulatory shift.

The Math That's Killing Your AI Agent: Why 85% Accuracy Means 80% Failure

When you chain 10 steps at 85% accuracy each, your end-to-end success rate drops to 20%. Here's the compound failure math every AI leader needs to understand.

The Agentic AI Reality Check: Why Most Agent Projects Never Reach Production

Gartner predicts 40% of agentic AI projects will be canceled by 2027. Here's why — and what the survivors do differently.