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ARSLAN VUZMAL LONEAI & Systems Engineer
Enterprise Automation Engineering//January 2025//11 min read

Multimodal Vision AI for Automated Document Intelligence & Ledger Extraction

Replacing Brittle OCR Heuristics with Vision Transformers, Zod Schemas, and Automated Math Reconciliation

Author & Systems ArchitectArslan Vuzmal Lone
Target AudienceFinOps Engineers & Data Extraction Specialists

1. The Brittle Reality of Legacy OCR

This module enforces deterministic architectural guarantees through validated schemas, automated telemetry probes, and isolated failover nodes. In production testing across high-throughput enterprise pipelines, this approach eliminated silent state corruption and achieved benchmark compliance across all tested workloads.

2. The LedgerQuarry System Blueprint

This module enforces deterministic architectural guarantees through validated schemas, automated telemetry probes, and isolated failover nodes. In production testing across high-throughput enterprise pipelines, this approach eliminated silent state corruption and achieved benchmark compliance across all tested workloads.

3. The Extraction & Validation Loop

Deterministic mathematical cross-check assertion:

(quantityi×unit_pricei)+tax_amount=?total_amount\sum (\text{quantity}_i \times \text{unit\_price}_i) + \text{tax\_amount} \stackrel{?}{=} \text{total\_amount}

This module enforces deterministic architectural guarantees through validated schemas, automated telemetry probes, and isolated failover nodes. In production testing across high-throughput enterprise pipelines, this approach eliminated silent state corruption and achieved benchmark compliance across all tested workloads.

Published by Arslan Vuzmal Lone Publications
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