We built an AI automation pipeline that extracts data from invoices, receipts and bank statements — matching transactions, flagging anomalies and pushing structured data directly into the firm's accounting software. Manual data entry dropped 85% in the first month.
LLM-powered extraction from invoices, receipts and bank statements with 97% accuracy on structured fields.
Fuzzy matching engine that reconciles extracted data against existing ledger entries, flagging discrepancies for human review.
Direct push to QuickBooks and Xero with field mapping, duplicate detection and audit trail logging.
Real-time dashboard showing processing status, flagged items and weekly accuracy metrics for the operations team.