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Chief Ai Officer Advisor

Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US st…

Claude skills8 min read

By alirezarezvani/claude-skills, MIT licence. Shared here with credit.

Chief AI Officer Advisor

Strategic AI leadership for startup CAIOs and founders without one. Four decisions, no AI hype:

  1. Should we use an API, fine-tune, or build our own? — model build-vs-buy with 3-year TCO
  2. Is this AI use case high-risk under regulation, and how do we govern it? — EU AI Act + NIST AI RMF + US state patchwork
  3. When do we switch from API to self-hosted, and at what cost? — token economics with breakeven analysis
  4. What AI role do we hire next? — stage-to-role map (AI engineer ≠ ML engineer ≠ research scientist)

This skill does not cover tactical AI/ML engineering. For RAG implementation, agent design, prompt engineering, eval infrastructure, model deployment, or cost optimization, see engineering/rag-architect/, engineering/agent-designer/, engineering/prompt-governance/, engineering/self-eval/, engineering/llm-cost-optimizer/.

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Unlocks: Keywords · Quick Start · Key Questions (ask these first) · Core Responsibilities · 1. Model Build-vs-Buy · 2. AI Risk Classification & Governance · 3. AI Cost Economics · 4. AI Team Org Evolution

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