Rillion Advocates for AI-Native Invoice Capture Over Outdated OCR
Software provider Rillion highlights the shift from traditional Optical Character Recognition (OCR) to AI-native invoice capture, citing improved accuracy and reduced manual effort. The company suggests AI offers significant advantages for financial automation.
Business software provider Rillion is emphasizing the transition from traditional Optical Character Recognition (OCR) to AI-native invoice capture, suggesting the former technology has become outdated for modern accounts payable automation.
The company argues that template-based OCR, widely used for extracting data from invoices, faces significant limitations as business operations evolve. Rillion states that while OCR can be faster than manual data entry, its effectiveness diminishes when invoice layouts change or the number of suppliers grows. This is because each new supplier or layout alteration necessitates the creation and maintenance of new templates, slowing down onboarding and increasing error rates, the company claims.
Rillion promotes AI-native invoice capture, which they describe as understanding invoices like a human would. This approach eliminates the need for templates and supplier-specific setups. The AI processes invoices based on their semantic meaning, irrespective of layout, thus resolving issues caused by design changes. According to Rillion, this leads to higher accuracy from day one and significantly reduces the need for manual review.
The company's AI solution is integrated directly into its platform. This allows invoice data to be validated against the company's master data before proceeding with processing. The aim is to ensure that only invoices requiring exceptional handling reach staff for review, thereby optimizing finance department workflows and minimizing manual intervention through automation.