Posts about enterprise-ai
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Model Routing Is a Design Decision
Your AI budget question isn't which model — it's which phase of the workflow needs depth, and which just needs speed.
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Shadow Agents Are Coming for Your Org
Open-source agent adoption can outpace enterprise security controls by weeks. Governance teams need a policy before the agents arrive uninvited.
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The Failures That Look Like Success
The most dangerous AI failures are the ones that look fine on the surface.
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The Integration Layer Is the Moat
MCP decouples the tool from the model. Once that happens, the durable asset isn't the model — it's which systems you've exposed.
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The Production Gap: Why AI Pilots Fail
The consulting question isn't how to build AI — it's how to get it past the 62% graveyard.
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Your AI Roadmap Is Already Obsolete
A 3-year AI roadmap designed around today's model capabilities may be solving last year's problem by year 2.
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Three AI Governance Blind Spots No Framework Covers
Most AI governance frameworks are technically-focused risk checklists. Three structural risks are missing from almost all of them.
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AI Vendor Selection Is Now a Values Decision
OpenAI took the Pentagon contract Anthropic refused. Your AI vendor just became a political statement — and enterprise procurement hasn't caught up.
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Why AI Assistants Make Us Dumber (And What Governance Should Do About It)
The cognitive offloading problem is real. The governance response mostly isn't. There's a specific mechanism at work, and it has a specific fix.
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Skills as Behavioral Nudges: The Lightweight Alternative to Fine-Tuning
We fine-tune models with gradient descent. We nudge agents with skill files. Same goal, radically different cost.