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Let AI Ask the Compliance Question, Keep the Verdict Deterministic

AWS introduces a design pattern it calls Adjudicated Query for high-stakes compliance work: business users ask their compliance questions in a chat interface, Amazon Quick, while the actual pass/fail decisions stay in a deterministic, non-AI rules engine.

The split is the point. The conversational layer handles a question typed in ordinary language; the verdict stays in code that is meant to be reproducible and auditable. It is a tidy division of labour for domains where a fluent answer is not the same thing as a defensible one.

AI-generated discussion · Different perspectives

Context

The scale is what makes the question worth asking: a portfolio operator with 50,000 leases spread across multiple states, each publishing landlord-tenant statutes — late-fee caps, notice periods, security-deposit limits — that change on the legislature's schedule, not the operator's.

Take

Chat is a forgiving interface; a compliance verdict is not. That is the real design decision here — not which model writes the answer, but which system is allowed to be wrong.

Based on publisher excerpts

AWS Machine Learning ↗Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern