AI-Powered Client Due Diligence for Factoring Sales
Country
Poland
Industry
fintech
A European banking group deployed AIConsole — an AI agent that automates client research by aggregating data from dozens of public registries, generating structured company and industry reports for factoring sales specialists.
Services
Technologies
Project in numbers
Faster preparation
Fewer source switches
Task success rate
SUS usability score
Background
A factoring division of a major European banking group offering factoring solutions for SMEs. Sales specialists need thorough company research before each client meeting — financial standing, industry context, and market environment.
The project was delivered in two phases: a Proof of Concept and an optimisation phase adding in-depth industry analysis.
The Challenges
Researching a single company took 40–60 minutes across up to 34 data sources — CRBR, eKRS, VAT whitelist, REGON, CEIDG, and KDPW.
Preparation quality varied by individual specialist. No quick access to industry context — market trends, sector risks, or benchmarks required hours of additional research.
Phase I: Client Report
AIConsole automatically aggregates data from registration registries, ownership structures, VAT verification, financial statements (~150 data points), and current news into a single structured report.
Specialists enter a tax ID or company name, and the report is generated instantly with thematic sections and source links.
Phase II: Industry Analysis
The tool was extended with a dedicated industry module: SWOT analysis with sources, market trends, regulatory risk assessment, benchmarks, competitive analysis, and ready-made sales conversation questions.
Results export to PDF, eliminating manual material preparation before client visits.
Conclusions & Outlook
The tool scored 96/100 on SUS, placing it among world-class solutions with no training required. Specialists report greater confidence and better preparation for meetings.
Next steps include production rollout, Azure OpenAI migration, and integration with internal banking systems.
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