Practitioner field notes on AI in the executive seat. Each entry maps to one of the five pillars of the Anchor AI Bearing Framework. Written by someone who builds AI systems every week, not someone who reads about them.
Your AI cannot wait for clean data, but it cannot ignore messy data either. The practical question is which defects block action and which can be bounded.
The pilot inventory looks full. The decision record does not. The harder question is which AI pilots deserve the next dollar.
The AI initiative is technically alive. The harder question is whether your function is using it in a way that changes the work people depend on you to deliver.
Most CEOs are getting ready to show the board what they deployed. The board is getting ready to ask something else: show me the proof.
An AI agent deleted a startup's production database in nine seconds. The kill switch being sold to executives is not the answer. The answer is who in your operating model owns agent identity, scoped credentials, and pre-deployment access review.
Most executives don't have an AI strategy problem. They have an operating model problem. AI doesn't add capability; it exposes the operating model you already have.
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The Bearing Assessment is the engagement these notes draw from. Five pillars, three deliverables, two to three weeks. A working roadmap, not a reading list.