policydb-reconciler

Policy data reconciliation matches imported rows to existing policies using additive scoring and a pairing board UI, eliminating ad-hoc manual processes. This visual approach tracks differences and assigns locations, reducing errors and time to value.

Additive scoring matches imported rows to existing policies without hard gates by accumulating match weights across data fields. This mechanism ensures deterministic results through explicit separation of scoring and normalization during policy data reconciliation.

A pairing board UI provides a drag-to-pair interface to align source and target policy records visually with color cues. This interactive workflow allows users to manually adjust matches and utilize a built-in export workflow for finalized pairings.

Yes, you can track differences and assign locations to matched policy records through an end-to-end workflow. This process covers import, mapping, matching, diff tracking, and location assignment across policies to ensure comprehensive data reconciliation.

To ensure deterministic results when normalizing policy records, maintain an explicit separation of scoring and normalization processes. This clear architectural boundary prevents unpredictable data transformations and guarantees consistent reconciliation outcomes.

No specific dependencies are required to run the policy reconciler, as it operates independently without external component prerequisites. You can run the reconciler directly on your policy data to observe the pairing board and start matching records immediately.