Finance and Procurement

Forward Deployed Engineering

AI-Driven Invoice and GRN Reconciliation for an Enterprise Finance Team

An enterprise finance and procurement team reconciled invoices, purchase orders, and goods receipt notes by hand on a legacy ERP. Entrans Forward Deployed Engineers built an LLM extraction and matching layer on top of that ERP and automated three-way reconciliation.

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Challenge

Solution

The Outcome

The Challenge

Documents arrived in formats that rarely matched, manual three-way matching slowed payments, and any automation had to run on the existing ERP.

Manual Three-Way Matching

Invoices arrived as PDFs, scans, and structured records, so every document was read and compared by hand, slowing payments and letting quantity, price, and supplier mismatches slip through.

Legacy ERP Constraints

Core finance systems had to stay in place, so automation needed to work on top of the existing legacy ERP instead of replacing it.

The Solution

Entrans Forward Deployed Engineers embedded with the finance operations and ERP teams and built the reconciliation layer against live documents inside the client's environment.

LLM Document Extraction

An extraction layer on AWS Bedrock reads every document format and turns it into structured data.

Automated Invoice Matching

Each invoice is matched against its purchase order and goods receipt note automatically.

Mismatch Flagging

Quantity, price, and supplier discrepancies are flagged on their own, before payment.

Exception Review Queue

Flagged items go to a review queue, so finance staff work only on the exceptions.

Legacy ERP Integration

The reconciliation layer connects to the existing ERP, so core finance systems stay in place.

The Outcome

Reconciliation now runs automatically on the existing ERP. The finance team handles only the exceptions instead of matching every document by hand, and supplier payments clear faster than before.

80% Reduction in manual reconciliation effort through automated three-way matching.

2X Faster Payment Clearance achieved with LLM extraction on the existing ERP.

Automated Mismatch Flagging for quantity, price, and supplier errors before payment.

We have been working with Entrans for the last two years and they have played a key role in building our solution. Their expertise and professionalism were evident throughout the development cycle, and we were very pleased with the final product. They have shown enormous skill and vast domain knowledge and their IT expertise is reliable and trustworthy. We would recommend Entrans for anyone looking for quality IT services, delivered in a professional manner

Nikolay Prokopiev

Chief Executive Officer

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