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In the competitive banking industry, accurate loan risk assessment is crucial to minimizing defaults while maximizing profitability. One leading financial institution struggled with consistently accurate risk predictions, resulting in higher-than-desired loan defaults. AiSynapTech stepped in with a customized Salesforce Einstein Prediction Builder solution to transform their loan risk prediction capabilities, resulting in a significant improvement in decision-making accuracy and reduced financial losses.
Accurate loan risk assessment has always been a challenge in banking. With fluctuating market conditions, limited historical data analysis, and complex customer profiles, the financial institution faced difficulties in assessing the real risk of loan applicants. Their existing systems provided subpar predictions, leading to higher defaults and missed opportunities for profitable lending. Key Challenges:
Inconsistent loan risk assessments
Higher-than-acceptable loan default rates
Difficulty in analyzing complex customer data quickly
Missed opportunities due to poor decision-making
Limited use of AI-powered predictive models
The Bank's pain point: It needed a more accurate, data-driven solution for evaluating loan risks that would reduce defaults and improve financial stability.
Our AI expertise unlocks endless possibilities with cutting-edge solutions like computer vision, NLP, and predictive analytics. Our AI expertise unlocks endless possibilities with cutting-edge solutions like computer vision, NLP, and predictive analytics.Our AI expertise unlocks endless possibilities with cutting-edge solutions like computer vision, NLP, and predictive analytics. Key Steps in Our Approach:
Utilized Salesforce Einstein’s machine learning capabilities
Analyzed historical data to build accurate risk prediction models
Created custom models based on unique data sets for better results
Integrated seamlessly with the bank’s existing CRM system
Trained and supported the client’s team for smooth adoption
With this approach, we enabled the bank to apply predictive analytics and AI, creating a smart loan risk assessment process capable of improving decision-making accuracy.
AiSynapTech deployed the Salesforce Einstein Prediction Builder to build a set of custom risk prediction models for the bank’s loan approval process. These models utilized deep machine learning algorithms to evaluate potential risks and offer more precise scoring for loan applications. The final solution automated the process, enabling the bank to make smarter, faster decisions, and ultimately reducing default rates. Key Features of the Solution:
Custom AI-based risk prediction models
Scored loan risks with greater precision
Integration with the bank’s existing Salesforce CRM platform
Real-time risk assessments during the loan approval process
Reduction of manual effort and human error in decision-making
With these models in place, the bank experienced a smoother loan process with reduced delays and errors, enhancing both operational efficiency and financial performance.
KPI
Before AiSynapTech
After AiSynapTech
Improvement
Risk Prediction Accuracy
65%
82%
+17%
Loan Defaults
15%
3%
-12%
Decision-Making Time
10 days
2 days
-80%
The use of Salesforce Einstein Prediction Builder helped improve loan risk predictions by 17%, reduce loan defaults by 12%, and significantly cut down decision-making time and operational costs, all while improving overall loan performance.
“Our partnership with AiSynapTech has transformed the way we assess loan risks. Their expertise in Salesforce Einstein has improved our decision-making process, providing us with more accurate predictions and reducing defaults. This has not only boosted our bottom line but also enhanced our customer trust and satisfaction.” — Senior Risk Manager, Financial Institution
