From Monolith to Multi-Agent GDPR Compliance

The Problem with Monolithic Compliance

When we first built Marsstein's compliance engine, it was a single pipeline: input a document, run it through a chain of rules, output a report. It worked — until it didn't. Real-world compliance is messy, contextual, and requires reasoning that linear pipelines can't handle.

The Multi-Agent Approach

We decomposed our engine into specialized agents, each responsible for a specific compliance domain:

• Document Analyzer: Reads and classifies incoming policies
• Gap Detector: Compares against regulatory requirements
• Report Generator: Produces audit-ready documentation
• Validator: Cross-checks outputs for consistency

How They Collaborate

Agents communicate through a shared context layer. The Document Analyzer passes structured insights to the Gap Detector, which identifies missing requirements and forwards them to the Report Generator. The Validator runs as a final check.

Moving from rules to reasoning agents was the single biggest improvement in our compliance accuracy.

Results

The multi-agent system reduced false positives by 60% and cut processing time in half. More importantly, it handles edge cases that our rule-based system simply couldn't address.

What's Next

We're now adding learning capabilities — agents that improve over time based on human feedback. The goal: compliance automation that gets smarter with every document it processes.