NHSAIMachine learningAssurance/Risk
Fraud & anomaly detection
Anomaly detection capability to flag high-risk payment patterns and generate investigation-ready outputs.
At a glance
£2.2M
High-risk transactions flagged
Outputs
Referral-ready investigation packs
Challenge
Large invoice and payment datasets contained patterns that were difficult to detect manually, requiring scalable anomaly detection and triage.
Approach
- Built anomaly detection using machine learning + LLM-assisted pattern interpretation
- Implemented triage workflow and escalation outputs
- Created investigation packs with auditable rationale
Data sources
- Invoice and payment datasets
- Supplier master data
- Approval and exception logs
What was delivered
- Risk scoring model
- Triage and escalation workflow
- Investigation pack outputs
Impact
£2.2M high-risk transactions flagged and referred for investigation
Improved prioritisation of investigation workload