Deploying AI to automate expense coding and accelerate the close

The startup's finance team relied on spreadsheets to collect receipts and code transactions. Month-end closes were slow and error-prone, and controllers lacked real-time visibility into spend.

We implemented an AI-native platform that uses OCR and machine learning to extract line items from receipts and auto-code expenses. Controllers ask questions in plain language, and the system generates narrative variance explanations using generative AI. Automated approval workflows reconcile transactions across systems.

Manual expense processing time was reduced by 50%, close cycles accelerated from 7 days to 3 days, and the company achieved approximately 25% annual cost savings while dramatically improving financial visibility and control.