Set the risk tier before the model choice
Classify an insurance AI use case by consequence and control need before choosing a tool.
The move: classify consequence before capability. Why Risk Tiering Works ISO 31000 pushes risk management into decision-making. For insurance AI, that means you do not ask, "Can the model do it?" first. You ask, "What objective could this affect, and what happens if the output is wrong?" The same AI behavior has different meaning in different contexts. Summarizing a training article is not the same as summarizing medical evidence for an injury claim. Drafting a broker email is not the same as recommending a renewal premium. Risk tiering keeps the control effort proportional. A Practical Three-Tier Lens Low consequence: convenience…
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