Public Sector Risk & Fraud Intelligence
This AI solution uses AI to predict crime hotspots, detect benefits and grant fraud, and surface emerging risks across public-sector programs. By combining geospatial analytics, bias-aware predictive policing, and advanced anomaly detection on financial and case data, it helps agencies target interventions, allocate resources, and reduce losses while improving community safety and trust.
The Problem
“Unified hotspot + fraud risk scoring with bias-aware, auditable intelligence”
Organizations face these key challenges:
Investigations are reactive: fraud and harm are detected weeks/months after losses occur
Siloed data across case management, payments, and GIS makes patterns hard to see
High false positives waste investigator time and erode public trust
Model risk: bias concerns, limited explainability, and weak audit trails block deployment