Invoice Handling Agent

Enterprises deal with hundreds to thousands of invoices every month—arriving in inconsistent formats such as PDFs, scanned documents, or emails. Manually processing these invoices introduces significant risks: human errors, missed payments, compliance gaps, and fraudulent entries. The lack of standardization slows down accounts payable and creates bottlenecks in financial operations.

To tackle this, we built an AI-powered Invoice Handling Agent that automates the entire lifecycle of invoice processing.

Using advanced OCR and NLP pipelines, the agent extracts structured data from invoices—regardless of format or language. Key fields such as vendor details, line items, tax components, and payment terms are identified and normalized. An auto-matching engine then cross-references this data with associated purchase orders and delivery notes to ensure consistency and accuracy.

A rule-based validation engine checks for regulatory compliance, tax accuracy, vendor legitimacy, and policy violations. Fraud detection modules flag potential duplicates, altered invoices, or mismatches in critical fields.

The agent integrates directly with ERP and accounting systems to enable end-to-end automation—from ingestion and validation to approval and payment scheduling. Detailed audit trails are maintained for transparency and compliance.

This system significantly reduces manual workload, accelerates payment cycles, prevents revenue leakage, and strengthens financial governance.