Credit Risk Assessments for consumers and businesses

Anti-Fraud Solutions - Real-Time Payment Monitoring

Challenges addressed

High risk of customer fraud and insolvency.
Long and inefficient credit risk assessment process.
Lack of flexible tools for dynamic scoring and analysis.

SLS-powered solutions

Real-time fraud detection using self-learning scoring models.
Predictive analytics for accurate credit risk profiling.
Automation of credit decisions and scoring using no-code/low-code workflows.
Integration with scoring systems, core-bankingien, CRM, ERP and alternative data (open banking, invoices).

Results achieved

Reduction of fraud rates by 50%.
Reduction of bad loans by 65%.
Reduction in credit decision time by 90%.

Credit Risk Assessments for consumers and businesses

In the financial world, accurate credit risk assessments are key to business security and profitability.

With our no-code/low-code platform, you can build advanced Credit Risk Assessment Systems for consumers (B2C) and businesses (B2B) - quickly, intuitively and without programming.

Faster and better credit decisions - without coding.

Our technology allows companies to automate and personalize their credit risk assessment processes by:

  • Dynamic scoring models - based on transactional, behavioral and alternative data.
  • Flexible decision rules - customizable by business analysts without the need for coding.
  • Automation of credit decisions - instant approval, rejection or escalation of verification.

How it works

  • Collect and analyze data - combine transactional sources, logins, device data and geolocation.
  • Define rules and AI models - use predefined scenarios and customize them without programming.
  • Detect anomalies in real time - identify unusual payment patterns and warning signals.
  • Stop fraud before it happens - automatic alerts, additional verifications, dynamic transaction blocking.
  • Optimize and learn - the platform adapts to new fraud patterns, constantly improving efficiency.

Applications for B2C and B2B

  • Banks and fintechs - detect card fraud, analyze customer transaction patterns.
  • E-commerce and BNPL - protection against chargebacks, payment fraud and promotional abuse.
  • Payment service providers - monitoring transfers, eliminating risks associated with account takeover.
  • B2B companies - analysis of unusual payments from contractors, monitoring for delays and fraudulent invoices.

Technology that works in your favor

  • No-code/low-code - flexible configuration of rules and models by business users.
  • AI and Machine Learning - advanced algorithms to detect new fraud patterns.
  • API integrations - seamless connection to payment systems, banks, CRM and ERP.
  • Automated alerts and actions - smart workflowy for immediate response to threats.

Protect your payments and reputation. Build an advanced anti-fraud system - faster, better, without coding.

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