KYC systems require evidence provenance chains to reconstruct AI-assisted verification decisions

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AI-assisted KYC processes involve multiple steps including document upload, OCR extraction, AI analysis, and final approval. Each step generates derived evidence that must be preserved with clear lineage rather than being overwritten. The architectural challenge lies in maintaining a verifiable chain showing which evidence, transformations, models, and decisions produced each result. This approach treats raw documents, OCR results, AI conclusions, and final decisions as distinct artifacts in a provenance graph. Such systems must also handle technical issues like idempotency to prevent duplicate evidence chains from retried submissions.

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