01
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.
FinTech Spend-Management Startup
Deploying AI to automate expense coding and accelerate the close
Series B fintech offering corporate cards and expense management. Production launch in under 3 months.
FinTech Spend-Management Startup
Workflow trace
Need
The startup's finance team relied on spreadsheets to collect receipts and code transactions. Month-end closes were…
Our Build
We implemented an AI-native platform that uses OCR and machine learning to extract line items from receipts and…
Outcome
Manual expense processing time was reduced by 50%, close cycles accelerated from 7 days to 3 days, and the company…
Annual cost savings
25%
Series B fintech offering corporate cards and expense management
Production launch in under 3 months.
-50%
Manual expense processing time
7 days -> 3 days
Close cycle
25%
Annual cost savings
Need, build, outcome.
02
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.
03
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.
Inside the build
01
How a receipt becomes a coded entry
OCR pulls the merchant, amount and tax off the receipt. Policy rules propose the GL code and cost centre. Anything low-confidence lands in an exception queue instead of the ledger, and the controller reviews only those exceptions.
02
The close-week view
Accruals are suggested from open approvals, variance narratives are drafted per cost centre, and controller questions get answered in plain language against live data — not a spreadsheet that was current last Tuesday.
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
What the system changed.
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
Systems it connects to
Corporate card feedERP / GLOCR pipelineSlack approvalsEmail
Bring us the workflow behind these numbers.
We'll scope an audit against your own systems — no slide deck, just your data and ours.