CASE STUDY

AI risk scoring system for companies

CHALLENGE

Many of our B2B clients faced difficulties in assessing the credibility of their business partners and the associated risks. Verification processes were time-consuming, requiring manual searches across multiple databases and in-depth information analysis. This led to delays and increased operational costs. There was a need to automate this process using modern AI and Machine Learning technologies.

SOLUTION

We developed an advanced AI-based system that automatically profiles companies and generates their risk scoring. The system integrates with various databases (including Companies House, credit data sources, and debtor registers) and analyzes financial data, online reviews, and business history to provide a comprehensive risk assessment.

SYSTEM FUNCTIONALITY

Retrieving external data (Companies House, credit data sources, and debtor registers, online review sources)
Analyzing financial indicators and debt levels
Assessing reputation through sentiment analysis of online data
Utilizing Machine Learning to predict business cooperation risks
Generating credibility scoring (e.g., on a 0-100 scale)
Automated reports for sales and accounting departments

TECHNOLOGIES

Microsoft Azure (Azure AI, Azure Functions, Azure SQL Database)
ML.NET
C#/.NET
API integrations (Companies House, credit data sources, and debtor registers)
Sentiment analysis and NLP

RESULTS

Reduction of contractor verification time from several hours to just a few minutes
Increased transaction security and minimized risk
Automation of decision-making in contract agreements
Improved efficiency of sales and finance departments
Better protection against insolvent business partners

SUMMARY

The AI-based company profiling and scoring system has become a key tool for our clients, enabling them to make quick and secure business decisions through automation and real-time data analysis. Our solution demonstrates how modern technologies can support businesses and minimise financial risk.