Case Study
Fintech Firm Uses Automation to Speed Invoice Factoring by 90%
Results
3.5FTE
Saved 3.5 FTEs annually
90%
Processed 90% of invoices automatically
Risk
Reduced risk exposure on factored receivables
Company Profile
Public global fintech operating across fleet, travel/corporate payments, and healthcare benefits, fleet cards serve millions of vehicles, corporate solutions process tens of billions in annual purchase volume, and the healthcare platform helps hundreds of thousands of employers and tens of millions of consumers manage healthcare expenses. Thousands of employees across multiple countries and currencies.
Challenge
AR team reviewing every factored invoice by hand
The company’s AR team was carrying the weight of the invoice factoring business. Every receivable bought from a client had to be manually validated for accuracy and completeness, with credit limits and other business rules applied invoice by invoice. As a result, the high-touch process was error-prone and not built to scale.
Speed and risk management are key in a factoring business, and the manual approach put both at risk. As volume grew, the team needed a way to process invoices faster without giving up the credit and validation discipline that protects the book.
Solution
Attended automation handling 90% of invoice validation
The company brought in attended automation that ran alongside AR agents during business hours. When a new invoice arrived, the automation extracted its content using intelligent document processing, applied data-quality and creditworthiness checks against set client limits, and posted clean cases straight through. However, invoices outside those parameters, or needing a credit-limit decision, routed to an agent for manual review.
As a result, the attended workflow processed 90% of incoming invoices and let the business ingest about 1 million invoices a year, representing roughly USD 1B in factored receivables. In addition, reserving agent attention for complex cases let the team grow while tightening controls and reducing risk exposure. Net capacity gain was 3.5 FTEs.
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