Automated Reasoning policy refinement in Amazon Bedrock

Building a formally verified policy in Amazon Bedrock has always meant writing rules, running tests, watching some of them fail, then manually tracing through formal logic to figure out why. AWS says that loop was the single biggest friction point customers reported, and this week it shipped a fix: automatic policy refinement for Automated Reasoning checks, a feature that diagnoses failing tests and proposes the fix itself, leaving a human to click accept or discard.

The system splits failures into two buckets, because Automated Reasoning checks work in two steps. First they translate natural language into variable assignments, then they validate those assignments against formal rules to produce a verdict like VALID, INVALID or SATISFIABLE. If the translation is right but the verdict is wrong, that's a rules problem — maybe a policy meant to block a bad answer is too loose, or one meant to allow a correct one is too strict. AWS calls the fix for that Iterative Refinement. Feed it your current policy, a source document, and optionally a plain-English instruction like 'change the tenure requirement from 12 months to 6,' and it runs an internal loop, generating candidate rule changes, testing them against your saved cases, and adjusting until everything converges. You never see the intermediate attempts, just the final diff.

The second bucket is messier: TRANSLATION_AMBIGUOUS, where the engine can't even agree on how to map words to variables, so it produces multiple competing interpretations with different outcomes. AWS's examples are pretty relatable — a policy with both tenureMonths and monthsOfService confuses the translator because they mean the same thing, or a variable expects '5%' as 0.05 but gets fed a plain 5. For this, there's Ambiguous Variable Refinement, which rewrites vague or overlapping variable descriptions into tighter ones that specify units, synonyms and formats, and it'll propose merging duplicate variables outright.

Both modes share the same asynchronous plumbing: you kick off a build workflow through the Bedrock API, poll until it hits COMPLETED, then pull the proposed policy definition and diff it against what you had. Nothing touches your live DRAFT policy until you explicitly call update_automated_reasoning_policy or hit Accept in the console. AWS is pitching this as turning a multi-round manual slog — the kind that needed a subject matter expert hand-writing SMT-LIB logic — into a single review-and-approve step, with convergence typically taking a few minutes depending on how big the policy is.

What's notable is how narrowly targeted the two modes are: one fixes wrong logic, the other fixes ambiguous language, and AWS is explicit that using the wrong one won't help. That specificity suggests they've actually seen enough failure patterns in production to build a real taxonomy, rather than shipping a generic 'AI fixes your policy' button and hoping for the best.