Learn how LoanPro partnered with AllCloud and AWS to build an AI-native summary interface and chat component, transforming raw data into clear borrower stories and boosting operational efficiency by reducing customer call lengths by up to 15%.
AI-native narrative generation and conversational insights transform lending software, bringing next-gen financial analytics into a complex loan servicing environment.
🎥 Watch the video to see how LoanPro is transforming the future of lending.
When you think of the loan servicing experience, you probably picture customer service agents navigating mountains of raw data while managing anxious borrowers on the phone. You probably don’t think of intuitive, real-time storytelling. For many lenders, financial ecosystems can be notoriously complex, and helping an agent quickly organize and decipher a borrower’s complete payment history, missed payments, and returned fees during a live call remains a major hurdle.
LoanPro is a modern, API-first loan management software that automates the entire loan lifecycle from origination to payoff. Founded in 2015, the platform allows financial institutions, auto lenders, and credit providers to automate workflows, process payments, underwrite applications, and manage collections.
Lenders navigate vast amounts of raw data inside their platforms, making it difficult for customer service agents to quickly pull meaningful context during live borrower calls. Agents struggled to efficiently organize account details, resulting in longer times to resolution as they manually navigated systems to understand a borrower’s full history, choices, missed payments, and return fees.
Through the AWS Innovation Lab, LoanPro partnered with AllCloud and AWS to leverage large datasets and build AI directly on the cloud platform. Together, they created an AI-native summary interface equipped with an interactive chat component. This solution instantly transforms disjointed raw information into a clear borrower story, allows agents to “talk to the loan” to rapidly surface critical details, and maintains a fully compliant accounting of all agent software interactions.
Implementing these generative AI tools has delivered significant operational impact: