Polish company verification case study

AI-assisted Polish company verification and risk scoring

An AI-assisted counterparty verification workflow combined Polish registry, financial, debt and reputation data in one structured risk assessment, reducing verification from several hours to a few minutes.

Project at a glance

Audience
Sales and finance teams
Engagement
Polish company verification and risk scoring
Data sources
KRS, GUS, BIG and debtor registers
Outcome
Verification reduced from hours to minutes

Business context

Challenge

Manual verification of a potential counterparty required searches across multiple Polish data sources followed by time-consuming analysis. A single assessment could take several hours, delaying the point at which sales and finance teams had sufficient information to assess the risk of a potential business relationship.

Delivery response

Solution

MPED built an AI-assisted Polish company verification workflow that consolidated KRS, GUS, BIG and debtor-register data with financial indicators, online reviews and business history. The system analysed these inputs and produced a structured risk assessment with a score and report for review by sales and finance teams.

From data to decision support

How Polish company verification and risk scoring worked

Polish registry and financial data → validation and analysis → risk score → structured decision-support report.

  • Retrieving external data (KRS, GUS, BIG, debtor registers, online review sources)
  • Analysing financial indicators and debt levels
  • Assessing reputation through sentiment analysis of online data
  • Using Machine Learning to identify patterns relevant to business cooperation risk
  • Generating a risk-scoring output on an example 0–100 scale
  • Preparing structured reports for sales and finance teams

Platform detail

Technology stack

The solution combined Azure services, ML.NET, .NET components and API integrations with business-data sources.

Business decision impact

Results

  • Reduction of counterparty verification time from several hours to just a few minutes
  • Polish registry, financial, debt and reputation data consolidated into one verification workflow
  • A consistent risk-scoring output and structured report available for operational review
  • Less repeated manual collection of information across external sources
  • Clearer decision support for sales and finance teams assessing potential counterparties

Summary

Faster Polish company verification through automated data analysis

The delivery converted a manual, multi-source counterparty verification task into an AI-assisted workflow that produced a risk-scoring output and structured report in minutes rather than hours. The outputs supported review and business judgement by the responsible team; they did not replace it.