The 5-stage pipeline
Profile: AI agents analyze the company's domain, products, markets, and data practices
Discover: Specialized agents scan 3,700+ sources to identify applicable frameworks
Score: Risk scoring agents evaluate severity × likelihood for each regulation
Enrich: Context agents add obligation details, deadlines, and enforcement history
Assess: Synthesis agents generate executive-ready risk reports with recommendations
Why multi-agent beats single-model
Each scan involves 30+ specialized LLM calls and 420-1,200 web search calls. Purpose-built agents reduce hallucination risk because each agent operates within a narrow, well-defined scope. Cross-validation between pipeline stages catches errors early. The result: 98.5% accuracy across 12,400+ regulatory determinations, with full source traceability on every output.
