Governance · AI

AI governance, explainability & drift

Every model is registered, validated and approved before use. Each decision can be explained factor by factor, model inputs are watched for drift, and analyst feedback flows back into evaluation — never directly into production.

Synthetic data only. No real customers, officials, companies, transactions or institutions. A PiR2-IT product, demonstrator by Marius Mihail Russo-Got.

Agentic AML Hyperautomation — live demo — overview

More in this demo

• Access control
• Insider threat
• Compliance matrix
• Data sovereignty
• Connectors & APIs
• Training (LMS)
• Executive view
• Onboarding & screening
• Monitoring & rules
• Alert queue
• L2 cases
• SAR / STR
• KYC · UBO resolver
• Conflicts of interest
• Organised networks
• Trace X → Y
• Public procurement
• Investigation copilot
• Client RFI & FIU exchange
• Security & resilience
• Architecture
• Audit log
• Policy & thresholds
• 38-module map