AI-Assisted Data Reconciliation at Scale: Patterns for Distributed Systems

The article describes a rules-first reconciliation design for large distributed systems.

Deterministic checks handle clear matches and mismatches, keeping the process auditable.

Embeddings and LLM classification are added only for ambiguous cases like schema drift or transient inconsistency.

This hybrid approach aims to reduce false positives without weakening observability or compliance.