FinTech Spend-Management Startup

Deploying AI to automate expense coding and accelerate the close

Client

Series B fintech offering corporate cards and expense management

Timeframe

Production launch in < 3 months

Manual expense processing time

-50%

Close cycle

7 days -> 3 days

Annual cost savings

25%

Need

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.

Our Build

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.

Outcome

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.

"LayeredAI revolutionized our expense management process. What used to take our team days now happens automatically, and our controllers have real-time insights they never had before."

Chief Financial Officer, FinTech Startup

AI-Powered OCR & Coding

Automatic receipt data extraction

Smart expense categorization

Machine learning-based coding rules

Multi-format document processing

Conversational Analytics

Natural language query interface

Automated variance explanations

Real-time spend visibility

Intelligent approval workflows