Automated Reasoning policy refinement in Amazon Bedrock

This article announces automatic policy refinement for Amazon Bedrock's Automated Reasoning checks, which automates the manual cycle of diagnosing and fixing failing policies while maintaining human approval gates.

• Iterative Refinement automates rule fixes by analyzing failing tests and proposing formal-logic changes grounded in source documents
• Ambiguous Variable Refinement resolves translation ambiguities by refining variable descriptions and merging overlapping definitions
• Both modes follow an asynchronous start-poll-retrieve API workflow with a human review gate before changes apply
• Review screen shows proposed changes alongside test results, enabling informed approval decisions
• Fidelity Reports validate that refined policies maintain accuracy and coverage against source documents
• Best practices include reading translations before selecting refinement mode and scoping inputs to bound changes
• Real-world applications span HR eligibility, financial services compliance, healthcare protocols, and manufacturing QA

Automatic policy refinement accelerates policy maintenance in regulated industries by automating diagnosis and proposal generation while preserving human authority over all changes.