AI-Powered Compliance Manager for the European Commission

Web Crawling, DSPy, LLMs combined into a powerfull and innovative compliance management software

Overview

A directorate at the European Commission needed a more effective way to monitor and enforce regulatory compliance across diverse industries. Relying on manual, reactive processes caused delays and limited their ability to keep up with fast-changing regulations. To transition to a proactive approach, they sought an automated system capable of real-time content monitoring, web crawling, and comparing data against complex regulatory standards, including structured, unstructured, and OCR-processed documents. In response, we developed an AI prototype in three months that combines Large Language Models (LLMs), web crawling, and DSPy modules to autonomously scan, process, and evaluate content. Using a PostgreSQL database and an intuitive traffic light-style interface, agents can now quickly assess compliance levels and prioritize high-risk areas. This proactive, AI-powered approach has boosted the European Commission's efficiency in enforcing compliance, enabling comprehensive oversight in today’s dynamic digital environment.

The Challenge

A directorate at the European Commission faced significant challenges in effectively monitoring and enforcing compliance with complex regulations across multiple industries and sectors. Their reliance on manual, reactive workflows hindered their ability to stay ahead of fast-changing regulatory landscapes, causing delays in identifying breaches and preventing proactive compliance management.

To address these challenges, the European Commission sought an automated solution capable of continuously monitoring online content and flagging potential compliance concerns in real time. They required a system robust enough to crawl the web, extract and process diverse content types, and compare this information against intricate legal and regulatory standards. Additionally, the solution needed to handle both structured and unstructured data, including OCR-based scanned documents, to ensure comprehensive monitoring.

Our Solution

We developed an advanced AI prototype in three months, integrating powerful open-source and commercially available Large Language Models (LLMs), such as OpenAI’s GPT-4o, GPT-4o-mini, and LLAMA3. This solution featured a web crawling component that autonomously scans websites, extracting relevant content and storing it in vector form within a PostgreSQL database to enable efficient retrieval and analysis.

To tackle the complexity of regulatory texts, we utilized DSPy modules to convert legislative language into structured question-and-answer pairs, simplifying comparisons with the data extracted from web sources. Furthermore, OCR technology was integrated to process regulatory and legislative materials in scanned or image formats, expanding the scope of accessible content. The system then uses LLMs to assess compliance by comparing the extracted web data against regulatory texts. Results are displayed in an intuitive interface using a traffic light-style indicator system—green for compliance, yellow for warnings, and red for non-compliance—enabling agents to quickly gauge compliance levels and review detailed summaries when necessary.

The Outcome

Implementing this AI-driven solution has significantly increased productivity and efficiency for the European Commission’s internal teams. Real-time compliance insights and clear, visual risk indicators now allow agents to proactively monitor websites, identifying potential non-compliance issues before they escalate. The traffic light-style interface helps prioritize focus areas, enabling agents to address high-risk zones promptly while keeping compliant and warning areas under surveillance.

This proactive approach has not only streamlined operations but also led to faster reporting and improved compliance across sectors. The integration of cutting-edge LLM and OCR technologies has enabled the European Commission to handle structured and unstructured data with ease, achieving a comprehensive level of oversight that aligns with its goals for regulatory enforcement in an evolving digital environment.