Credit Decisioning Engine
Manage Risk and Control Default
- Approval loans in minutes using a reliable and scalable credit decisioning engine.
- Maximize the portfolio income keeping its risk measure lower than the initial value.
- Choose the most relevant algorithms from a wide variety of options.
- Reduce the development time from months to days by automatically training, testing, monitoring and controling your model.
Say Yes to Your Customer in a Real Time
- Streamline credit risk assessment and credit approval workflows to make faster, well-informed credit decisions in individual, commercial, and SME lending.
- Automated decision making powers instant approvals, so you can say yes to the right customers in real time.
- Customer risk profiles are presented in a comprehensive and intuitive way.
- Forget about expensive third-party reports with pre-configured credit decisioning rules. Apply only the data relevant to you when working with CompassWay Credit Decisioning Engine;
- Integrations allow you to access both external and internal data for your credit processing needs:
- Third-party Scoring Tools;
- External or In-house Software/Accounting Systems;
- Payment Data (bank statements, online shopping history, etc).
How You Can Benefit From CompassWay Credit Decisioning Engine
Credit Decision Modeling
Make fast and accurate credit decisions on every application and reach high business performance rates. Support several types of credit products with different customer valuation parameters and logic. Apply both traditional and alternative credit scoring methods to improve your credit decisioning accuracy using the Champion/Challenger model and A/B testing.
Making Decision Using AI
By the application of AI, CompassWay 's digital decisioning platform can provide data-driven insights and immediately apply them to operational decision-making. Advanced algorithms and powerful machine learning technologies guarantee precise and quick results.
Business Rule Engine
Use business rules editor to design, create, and test business rules, scorecards and decision strategies. Seamlessly test, deploy and operationalize decision strategies in real-time
Risk Real Time Profiling
With the help of artificial intelligence (AI and ML tools) financial companies can better identify specific variables to define new customer segments, creating segmentation rules, building and validating dedicated scoring models, and improving predictive power.
Data Integration
Seamlessly integrate external data providers (e.g. credit bureaus, fraud detection services).Integrations allow you to access both external and internal data for your credit processing needs:
Risk -Based Pricing
The use of risk-based pricing has allowed lenders to better serve consumers across the risk spectrum. Under this system, costs are lowered for the majority of consumers who are deemed low risk, while credit opportunities are expanded for higher-risk consumers. Risk-based pricing also creates a fairer marketplace.
Credit Scoring Software Benefits
- Credit Decisioning Engine offers a scalable user-friendly digital lending solution.
- Customer profiles are presented in a comprehensive and intuitive way.
- Support several types of credit products with different customer valuation parameters and logic.
- Our easy-to-understand interface allows you to create, test, and apply new user experience logic and decision strategies from the first day of use.
Scaling Up Your Lending Business with Inclusive & Configurable Credit Decisions
Ready made credit scoring solution
Customizable credit scoring models, up-to-date credit policies, business instructions, and relevant sources of data ensure an easy compliance experience. Scoring has the potential to be one of the factors that change lending as we know it.
Collected Data from Multiple Sources
Apply both traditional and alternative credit scoring methods to improve your credit decisioning accuracy using the ML model and A/B testing. Analyze large amounts of big data to find patterns that will dramatically improve the accuracy and speed of your credit decisioning . .
Growing Importance of Data Analytics in Credit Scoring
Massive data about typical customer spending and behavior is a priceless resource for information for determining credit scores. Hence, financial institutions using AI and ML algorithms for big data analytics are better prepared for credit risk assessment and thorough borrower profile.
Expanding Ai for Better Credit Decision
Go beyound basic and use cutting-edge AI technology for your scoring needs. Improve the reliability of your credit decisioning process by optimizing creditworthiness assessment, and increase access to credit for underserved borrowers.
Govern Your Operational Efficiency
Improve Productivity
Bring underwriting, business, and operations teams together by using a integrated lending management solution that provides most relevant employee experience,allow your staff to focus their efforts where they're really needed .Make fast and accurate credit decisions on every application and reach high business perfomance rates.
Reduce Costs
A digital lending platform that decreases costs by 30 to 50% by saving employees’ time, reducing cost of new clients acquisition and increased rate of repeat clients, as well as reduced need for brick-and-mortar investments. Borrowers save time and money too.
Increase Competitiveness
Both the internal and external data sources are used in a credit decisioning model and have an impact on the quality of credit decision. The use of objective financial information and other factors proven to correlate with risk allows for increased consistency across each company’s lending underwriting process.
Ai Driven Lending
Artificial intelligence ( AI ) is heralding a paradigm shift in how banks and credit unions serve their customers with simple access to credit and revolutionising the industry with the newest technology . AI helps to easily identify fraud and creates opportunities for improvement of the customer experience across the entire lifecycle.The proprietary AI-driven technology of deep neural networks and machine learning allows making decisions about loans within 30 seconds.
Seamless Colloboration
Bring underwriting, business, and operations teams together by introducing a single lending management solution that provides most relevant employee experience. Configure roles and permissions based on your unique servicing policies, so that each team member has access to the information and tools they need to do their job effectively, while also maintaining data security and privacy.
Risk -Based Pricing
The use of risk-based pricing has allowed lenders to better serve consumers across the risk spectrum. Under this system, costs are lowered for the majority of consumers who are deemed low risk, while credit opportunities are expanded for higher-risk consumers. Risk-based pricing also creates a fairer marketplace.
WHAT
CUSTOMERS SAY
Featured Content
Credit decision based on AI algorithms
