Accounting workspace / Learning
Policy learning
Review how bookkeeping policies learn from approved evidence.
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Learning loop health
Read-only evidence of proposals, human decisions, and unresolved
work.
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Shadow application review
Record a human judgment on an AI policy suggestion. This is
append-only learning telemetry; it never applies the suggestion or
changes books.
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Select a shadow applicationReview the proposed
action and record a human outcome. No operational action is
available here.
Human-reviewed learning evidence
Only explicit human accepted, corrected, rejected, or overridden
decisions can prepare an immutable policy proposal. A proposal
never activates automation or changes the books.
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Prepare a policy proposal from selected evidence
Start with a conservative template, then replace every
REPLACE_WITH_… value with facts supported by the
selected evidence. This creates a proposed, append-only policy
version for later evaluation and review. It cannot activate
automation or change the books.
Templates are review-only and never auto-post.
Policy register
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