A decision architecture combines a framework, a diagnostic schema, and a repeatable algorithm to test whether a decision should proceed before it's implemented.

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A schema organises information and gives someone a way to read a complicated situation. A decision architecture works as one — a lens for evaluating a decision.

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A framework is a method built from defined parts, applied the same way every time. 

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An algorithm runs a fixed sequence. A decision framework answers the diagnostic questions, scores, flags, produces a RAG rating.

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A decision engine turns structured inputs into consistent outputs. 

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A diagnostic system finds a vulnerability before it's acted on, not after.

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An evaluation protocol means the steps don't change — same order, every time, regardless of who's running it.

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A decision framework is predictive in the scientific sense: a systematic, repeatable way to test a decision, not just describe one after the fact.