
Instant insights that drive smarter decisions, faster.
Government benefit systems often struggle with duplicate beneficiary records, leading to significant financial waste. With millions of beneficiary records to process, manual auditing becomes impossible, and traditional automated systems lack the sophisticated reasoning capabilities needed to identify complex duplicate patterns.
The challenge was to create an intelligent system that could replicate human expert reasoning to identify and eliminate costly duplicate beneficiary records while ensuring legitimate beneficiaries weren't affected.
HumBot deployed an AI-powered system that analyzed beneficiary records with human-level reasoning to identify duplicates based on complex patterns, relationships, and contextual information.
Payments Eliminated
$50M+
Processing Time Reduced
85%
Accuracy Rate
99.9%