AI-Powered Public Sector Investigations
This AI solution uses AI to support public‑sector investigations by detecting patterns of criminal activity, welfare fraud, and program abuse across diverse data sources. It prioritizes cases, flags high‑risk entities, and guides investigators with predictive insights, helping law enforcement and integrity bureaus focus resources where they are most likely to prevent crime, reduce fraud losses, and improve public safety.
The Problem
“Investigation triage + fraud/crime pattern detection across siloed public-sector data”
Organizations face these key challenges:
Case backlogs with inconsistent prioritization and investigator overload
Siloed systems (benefits, tax, police reports, tips) prevent cross-case linking
High false positives from rule-only screening; low hit-rate on manual reviews
Poor auditability: hard to explain why a case was flagged and what evidence supports it