VeridaSync AI Document Reconciliation Engine

Overview

VeridaSync was an enterprise document reconciliation engine designed to identify and correct inconsistencies across financial and operational datasets using AI-driven matching and context validation. It eliminated manual auditing by automatically detecting anomalies and proposing verified corrections.

Client Context

A multinational logistics company operating across 14 markets faced recurring data mismatches in shipment reports and invoices. Discrepancies between regional databases delayed billing and compliance verification. Manual checks across spreadsheets and ERP exports were time-consuming and prone to human error.

Core Challenges

Data Inconsistency
Different systems used varying schemas and timestamp conventions, leading to mismatched entries that were difficult to reconcile.

Manual Review Overload
Over 12,000 documents required manual review each quarter, consuming over 400 hours of analyst time.

Compliance Risk
Late or incorrect reporting affected financial audits and customer trust, making automation critical.

Solution Overview

VeridaSync introduced an AI-driven reconciliation engine that cross-referenced multi-format datasets using semantic and structural analysis. The system matched similar records even when identifiers or formats differed, highlighting anomalies in real time.

Hybrid Matching Engine
Combined rule-based pattern recognition with semantic similarity scoring using embeddings generated via OpenAI Ada and Cohere models.

Confidence-Weighted Correction
Each detected discrepancy was scored based on match confidence, source reliability, and timestamp alignment.

Audit Layer Integration
An integrated verification dashboard allowed auditors to review AI-suggested fixes with traceable evidence before approval.

Solution Description

• Backend: FastAPI + Celery task queues

• Databases: PostgreSQL and Redis for caching

• Embedding Models: OpenAI Ada, Cohere Embed

• Visualization: React-based reconciliation dashboard

• Security: AES-256 encrypted data channels, JWT-based user roles

• Cloud Infrastructure: Azure Container Apps for scalable deployment

Operational Impact

• Reduced manual reconciliation workload by 91%

• Increased document matching accuracy to 98.4%

• Cut audit preparation time from 12 days to under 36 hours

Strategic Outcomes

VeridaSync turned a reactive compliance process into a proactive data verification system. With real-time anomaly detection and guided corrections, the client established a faster, transparent, and audit-ready workflow trusted across all regional departments.