Key Features of Newgen’s Credit Decisioning Engine
End-to-End Credit Decisioning Workflow
Seamlessly process customer applications from online, branch, and mobile channels via API integration. Automate data ingestion, rule execution, and risk assessment, combining model and rule batteries using an agentic orchestration for real-time approvals. Enhance compliance with ID authentication, fraud detection, and AML services.
AI-driven Risk Assessment & Scoring
Leverage our AI and ML models to assess loan eligibility, credit risk, and pricing. Deploy pre-qualification models to identify high-intent and high-value lending members. Set up business rules based on credit scoring and risk to enable risk-based pricing and automated credit limit recommendations.
Advanced Rule Engine for Faster Decisions
Define, modify, and execute business rules dynamically with NewgenONE Rule Engine. Apply eligibility policies, fraud detection, and credit risk models in real-time using a platform that supports multiple decisioning outcomes to approve, deny, counter-offer, or pending decisions in complex decisioning situations.
Reasoning Hub for Enhanced Decisioning
Utilize AI-powered agentic intelligence to automate complex lending decisions by deploying NewgenONE conversational AI that enhances loan origination efficiency by leveraging vector databases and reasoning hubs for contextual decisioning, providing agent review and agent sign-off support.
Pre-Built Integrations for Seamless Operations
Connect with KYC, ID verification, and fraud detection services with the NewgenONE platform, which offers interoperability by integrating with core banking, CRM, and credit bureau systems and utilizing data lakes and warehouses for analytics-driven decisioning for eligibility assessment and risk evaluation.
Built-in Newgen’s Credit Decisioning Engine Models
Pre-qualification & Loan Uptake Prediction Model
Identify high-intent and high-value lending members using AI-driven insights that utilize historical data, financial behavior, and predictive analytics to assess loan interest and cross-sell/up-sell opportunities. This AI model ensures proactive engagement with potential borrowers, increasing loan conversion rates.
Pre-qualified Loan Risk & Pricing Model
Predict the risk associated with loan offers based on borrower profiles, credit history, and external data sources and implement risk-based pricing strategies by analyzing historical claims, financial exposure, and industry benchmarks. This model ensures fair and optimized lending rates while mitigating potential risks.
Application Risk Assessment & Decisioning Model
Use AI and rule-based underwriting to evaluate application risks in real-time, flag high-risk applications, automate rejection/approval logic, and suggest alternative offers for borderline cases. This model enhances decision-making speed while reducing manual intervention and bias.
Find Your Winning Strategy with Newgen
Discover the future of agentic AI-driven credit decisioning meant for banks of tomorrow.
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