AI-driven invoice processing

High-volume AP with mixed languages, scanned PDFs, and strict segregation of duties—automated suggestions, human approvals where required, and postings your auditors can trace.

The problem on the ground

Finance teams were drowning in PDF and image invoices from domestic and overseas vendors. Keying was duplicated across email, spreadsheets, and the ERP; PO match rules were brittle; and GL coding depended on a few senior clerks who could not scale with growth.

What we put in place

• Ingestion rail — secure mailbox and SFTP drops, virus scan, hashing, and retention aligned to your policy.
• Document AI — layout-aware extraction for line items, tax, and bank details; confidence scores route low-trust work to humans.
• Matching engine — PO, GRN, and contract hooks with tolerances you configure; explicit “no-match” reasons for vendor queries.
• Posting adapters — idempotent API calls into SAP / Oracle modules with simulation mode before go-live.

Straight-through processing rose on clean lanes; median cycle time dropped; exception queues became searchable with reasons instead of tribal knowledge. Controllers kept materiality-based review for sensitive vendors—without blocking the bulk of traffic.