| Team Name | Consortix - AURORA |
| Track | Banking |
| Use Case | We present an Agentic AI solution that transforms free-text Anti-Money Laundering rules into executable scenarios, validates and back-tests them, recalibrates alert scoring models on historical data, and ensures clarity, fairness, and auditability through a Responsible AI governance framework. |
| Technology | SAS AML, SAS VI, SAS Workbench, SAS Model Studio, SAS Model Manager, SAS VA, SAS Data Maker, Python |
| Region | EMEA |
| Team lead | Zsolt Burger |
| Team members | Balázs Turóczi, Gábor Szentesi, László Vincze, Tamás Kegyes |
| Social media handles | |
| Is your team interested in participating in an interview? | Y |
| Optional: Expand on your technology expertise | |
| Pitch Video | |
| Jury Video |
Very cool, way to go, Consortix team!
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