Invoice Reconciliation and Processing
Invoices are the DNA of every organization’s financial systems – it’s how you generate revenue and pay your expenses. But processing invoices that look different from each other, can be multi-paged, and have multiple tables can be cumbersome to extract data.
Invoice extraction needs to be precise and accurate. Invoices often need to be reconciled with payments in order to find discrepancies. This entire process can be automated utilizing AI.
Leverton’s AI outperforms even the most advanced RPA and rules-based automation systems. It is able to extract and manage data from invoices that have highly complex and unique structure, along with handling basic sets of invoices as well. Leverton’s AI capacity allows it to process tens of thousands of documents with its own OCR every single day. Invoices can also be easily reconciled against checks using our check extraction platform as well. The best part is you can leverage Leverton for small batches of invoices or large volumes.
A developer of Robotic Process Automation (RPA) software engaged Leverton to determine the viability of AI abstraction for their invoices. LEVERTON created a custom data model, and created a central, organized and consistent database of information, enabling the company to conduct day-to-day operations more efficiently. Leverton provided a cost-effective, quick, and reliable data abstraction solution, and incorporated various services desired by the client such as labeling function. The extract template deep-scrub process by the Leverton team ensured 100% client satisfaction.
Leverton Provides ROI
High volume and complex invoice processing capabilities
Structured data to reconcile with existing sources
Integration with leading accounting platforms like SAP or Quickbooks