Loans underwriting with AI Agents

AI-Powered Loans & Insurance Underwriting - Intelligent Risk Assessment in Real Time

Challenges addressed

High risk of customer fraud and insolvency.
Long and inefficient loan and underwriting risk assessment process.
Difficulties in analyzing large data sets in real time.

SLS-powered solutions

Real-time fraud detection using AI and machine learning.
Predictive analytics for accurate credit and insurance risk profiling.
Automation of underwriting and scoring decisions using dynamic AI models.
Integration with scoring systems, CRM, ERP and external databases (open banking, debtor registers, cash flow).

Results achieved

Reduction in fraud rates by 30%.
Reduction of bad loans by 40%.
Reduction in underwriting decision time by 60%.

Loans underwriting with AI Agents

Traditional risk assessment in credit and insurance is a long, expensive and error-prone process. In B2B, where large sums of money and complex financial structures are involved, a quick and accurate decision can mean billions of dollars in contracts.

Our no-code/low-code platform uses AI Agents and machine learning to assess credit and insurance risks, speeding up the underwriting process and making decisions more effective - without the need to manually analyze hundreds of pages of documents.

Fast, accurate and intelligent risk assessment - without manual work.

With our technology, you can:

  • Assess credit risk and liquidity - analyze cash flow, liabilities, assets, repayment history and mortgages.
  • Accelerate credit decisions and underwriting - AI analyzes hundreds of parameters in seconds.
  • Assess insurance risk - determine whether a customer or company is acceptable for insurance.

    * Automatically retrieve data from external sources - e.g. records of debts, tax liabilities, assets.

How it works

  • Collect data about a customer or company - credit history, liabilities, mortgages, cash flow, insurance data.
  • AI assesses risk in real time - financial, transactional analysis and ML-based scoring.
  • Adjust scoring and decision rules - dynamic AI models instead of static rules.
  • Accelerate underwriting decisions - system generates recommendation, eliminates manual review of documents.
  • Monitor risk and adapt strategy - the system learns from new data and adapts models.

Applications for B2C and B2B

  • Banks and fintechs - credit risk analysis for individual and corporate customers.
  • Leasing and factoring companies - quick assessment of ability to lease or secure invoices.
  • Insurance - AI analyzes insurance risks and determines policy profitability.
  • Large B2B contracts (e.g., credit for Orlen) - analysis of risk exposure, liabilities and creditworthiness.

Technology that turns underwriting into a modern process

  • No-code/low-code - fast rule configuration without programming.
  • AI and machine learning - real-time dynamic risk analysis.
  • API integrations - access to debtor registers, mortgages, cash flow, open banking.
  • Automated underwriting decision - AI evaluates, recommends and speeds up the process.

Faster and better decisions - more profitability and less risk.
Automate underwriting and let AI assess risk in a fraction of a second.

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