Analyze data, assess risk, and automate lending decisions in one powerful platform
Analyze data, assess risk, and automate lending decisions in one powerful platform
How It Work
Collect borrower information from various sources like credit bureaus, bank statements, KYC data, and transaction records
Check and decide on conditions with the help of "if-then" reasoning to approve, reject, or refer applications
Produce a final decision, loan approval, rejection, or conditional offer
Implement the set of rules like the minimum credit score, income limits, debt-to-income ratio, and the risk filters
Give a risk score according to the borrower's profile and their behavior
Modify rules according to the results of the performance data, the current market situation, and the regulatory requirements
Use Cases
Analyze the borrower's credit history and income to come to an instant decision.
Use GST data, bank statements, and transaction patterns to assess MSMEs.
At the point-of-sale transactions, make credit availability decisions in real time with minimal customer friction.
Change credit limits automatically based on customer behavior and timely repayment.
Detect suspicious loan applications by using rule-based triggers and anomaly detection.
Customize loan products to the specific risk profiles and financial behaviors of individual customers.
Benefits
AI-powered applications enable instant credit decisions, reducing approval time from days to seconds.
Automated, consistent risk rules reduce defaults and improve overall loan portfolio quality.
Rules update quickly without disruption, adapting to strategy, borrower segments, and regulatory changes.
Automated processes that require less manual work for underwriters, thus saving both time and resources.