Efficient Non-Performing Loans (NPLs) Management
Increase Efficiencies in NPL Portfolio Transactions and Management
NPL portfolio sale transactions are data intensive as crucial information is scattered across a myriad of documents, ranging from facilities and securities agreements, to purchasing agreements, title deeds, etc. AI can help NPL portfolio sellers and buyers by increasing data transparency and reducing risk.
NPL servicing is all about increasing efficiency, whilst reducing costs, time, and risk. The lack of structured data can escalate operational costs, staff, and senior management time. AI can help NPL owners and servicers structure all the required information fast and efficiently, slashing costs and time. Following the successful deployment in banking, real estate, insurance and other industries, AI is now deployed in the management of NPLs.
NPL portfolio underwriting, DD and management is often a lengthy, labor-intensive, and complicated process. The first bottleneck is invariably a chaotic provision of information with unstructured data scattered in disparate documents, spreadsheets, and various systems. Extracting this information is crucial and the lack thereof is a productivity drag, costing time and money.
Using Natural Language Processing and Machine Learning, we slash the cost and time for the extraction and structuring of this data into a searchable and auditable format. The availability of structured information increases transparency. By removing inefficiencies, we provide accurate and higher pricing for vendors, lower costs for servicers, and higher returns for buyers.
Working with valued partners
“For NPL transactions, timely disclosure of information between parties is absolutely crucial. Leverton’s technology increases transparency and efficiency, enabling faster decision-making”
Tassos Kotzanastassis, Founder, 8G Capital Partners
Why use Leverton AI?
Mundane, repetitive data extraction is carried out much faster
Fewer people, less time
Substantial reduction in errors which can derail the NPL resolution process