Investigations · natural language
Investigation copilot
Questions in plain language are answered only from documents the user is allowed to see (role- and attribute-based access is applied at retrieval time). Every sentence carries a citation; a grounding check removes any sentence that no source supports before the answer is shown.
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
- AI governance
- Client RFI & FIU exchange
- Security & resilience
- Architecture
- Audit log
- Policy & thresholds
- 38-module map