AI Powered Credit Risk Scoring & Analysis image

AI Powered Credit Risk Scoring & Analysis

DTECH CLOUD

Speeds up credit decisions with AI-driven risk scoring and reduce default rates.

AI Powered Credit Scoring & Risk Analysis

Pain Points & Solutions:

  • Manual processes are time-consuming → Score generation within minutes thanks to the AI engine
  • Inaccurate credit evaluations → Data-driven, unbiased risk analysis
  • High default rates → High-risk customers are identified early and filtered out

Return on Investment & Value Proposition:

  • Up to 70% faster application evaluation
  • Up to 40% reduction in default rates
  • 50% more efficient analyst performance

Benefits:

For Management:

  • Improved risk scoring quality
  • High transparency and control in processes
  • Reduced default risk

For Users:

  • Faster credit decisions
  • Fairer evaluations
  • Better customer satisfaction

Features:

  • Real-time risk score generation
  • Automated process flow with Power Automate
  • Custom dashboards with Power Apps and Teams integration
  • CRM integration (Dynamics 365, Salesforce, etc.)
  • Analysis of alternative data sources (utilities, social media, etc.)
  • Azure Machine Learning: Advanced credit risk models trained on historical and alternative data
  • Azure Synapse Analytics: Seamless integration of big data for scalable risk computations
  • Azure Cognitive Services: Natural language insights from customer documents or social data
  • Azure Data Factory: Orchestrates and integrates data pipelines from various sources
  • Azure OpenAI Service: Enables intelligent summarization of financial records and customer communication analysis
  • Azure Key Vault: Secure storage of API keys, credentials, and sensitive scoring model parameters
  • Azure Monitor & Application Insights: Real-time monitoring of scoring model performance and anomalies

Revolutionize your credit scoring with AI – click ‘Contact Me’ button to start transforming risk analysis.

At a glance

Snapshot 1 of AI Powered Credit Risk Scoring & Analysis