Case Study: Fortune 500 Financial Services Lender achieves 76% fraud prediction accuracy with SymphonyAI Sensa

Fortune 500 Financial Services Lender - Customer Case Study

Fortune 500 Financial Services Lender partnered with SymphonyAI to address growing mortgage fraud and credit risk challenges. The lender wanted to improve loss mitigation, financial reporting and loss forecasting, while also enabling faster, more accurate underwriting. It was also struggling to extract more value from expanding structured and unstructured data, limiting visibility into both commercial opportunities and fraudulent activity.

Using SymphonyAI Sensa’s solution, SymphonyAI helped uncover hidden data duplication, lineage issues and errors that were driving thousands of false mortgage and occupancy claims. The implementation combined unsupervised machine learning to segment the customer base with supervised machine learning to identify high-risk behaviors. As a result, the customer achieved 76% accuracy in predicting fraud and created a new enterprise data model.