Open-Weight AI Models in Enterprise Automation Strategy: A CTO Framework
A decision framework for open-weight AI models in enterprise automation strategy — weighing cost at scale, data residency, capability, and export risk.

8 pieces in this section.
A decision framework for open-weight AI models in enterprise automation strategy — weighing cost at scale, data residency, capability, and export risk.

Agentic websites are the future — research, writing, SEO gating, QA, and self-repair, unattended. Two live deployments, and what I'm opening next.

A principled AI agent build vs buy decision framework — 7 diagnostic questions drawn from documented failure patterns, real cost data, and procurement post-mortems.

A board-ready AI automation ROI business case template built from published benchmarks — FTE savings model, payback period formula, and FinOps cost stack.

The rise of agentic websites is turning law firm sites from static brochures into autonomous systems that research, publish, and convert. Here is how.

A practical AI model routing automation pipeline pattern: match each subtask to the cheapest capable model using quality, speed, and cost heuristics.

The OpenAI ExploitGym breach defines AI agent containment strategies better than any safety framework. Here is the four-layer model it implies.

EU AI Act Article 14 is live. With only 21% of enterprises holding mature AI governance, here is a concrete human-in-the-loop AI agents framework CTOs can implement now.

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