Pre-payment anomaly detection flagging suspicious claims before disbursement
— Government Digital Services (GovTech)
Solving: Improper payment fraud in public programs discovered only during post-payment audits
Machine Learning Architecture
Pre-payment anomaly detection flagging suspicious claims before disbursement
Python, PostgreSQL, Elasticsearch
Validated Business Impact
Reduces improper payment rates by 23.3%
Technical FAQ
How does JSRRB Technologies solve improper payment fraud in public programs discovered only during post-payment audits?
We deploy pre-payment anomaly detection flagging suspicious claims before disbursement. Typical result: reduces improper payment rates by 23.3%.
What technology and security model powers this Government Digital Services solution?
The solution is engineered on Python, PostgreSQL, Elasticsearch, deployed under JSRRB's zero-trust architecture so your proprietary Government Digital Services systems and data stay encrypted and are never exposed to public AI training models.