A skipper keeps watch without inspecting every part of the boat. AI agents ask humans to approve everything, which trains them to approve nothing carefully. Oversight needs structured reasoning.
A day sail asks for one go/no-go answer. An ocean crossing asks for continuously better decisions in changing conditions. AI has the same distinction – and enterprise AI is the crossing.
Choosing between the skipper and the autopilot is the wrong question. The missing piece isn’t data – it’s judgment and reasoning, owned by the enterprise and amplified by the model.
Operational data is already trusted to run the business, so why assume it isn’t good enough for AI? Reasoning models also remove the need for months of upfront semantic modeling.
As AI grows more autonomous, the real question isn’t whether it should reason—it’s who owns that reasoning. AI is the autopilot; the enterprise is the skipper.
Watching humpback whales in the San Juan Islands is a lesson in working with AI: you get better results by understanding how a model behaves than by trying to force it.
A relaxed Fourth of July sail in the San Juan Islands turned into 20-knot winds, four-foot chop, and a passing whale — and three lessons that reach well beyond sailing.
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