Verdict

Verdict is an AI onboarding agent for Belgian accounting firms that replaces the two-week manual client-vetting process with two live scores — Confidence (how complete the file is) and Risk (how suspicious it looks) — treating an empty file as unknown, not safe. Every document lands as its own schema-validated record in MongoDB Atlas (document model + $jsonSchema), and each write instantly re-scores the client while keeping a full history of how the risk evolved. One aggregation pipeline does the reasoning: it cross-checks documents for contradictions and uses $graphLookup to walk ownership structures two hops out into hidden shared-account clusters. The payoff is memory — when a colleague files a single verdict into one collection, Voyage AI embeddings and hybrid Atlas Vector Search + Atlas Search (blended with $rankFusion) surface that judgment as precedent and re-score the client in seconds, with no retraining and no restart. Because state, documents, graph, and vectors all live in MongoDB, there's no bolted-on vector store or connector: one platform remembers every decision so the firm never re-derives it.

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