Analytics & ForecastingPhase 3 — Build
Anomaly Detection / Fraud Engine
Fraud and suspicious transactions hide inside normal volume — by the time they surface, the loss is booked.
What we build
- 1Real-time anomaly detection combining classical ML with LLM reasoning for context
- 2Case management dashboard with investigator workflow and feedback loop
- 3Existing reference architecture from prior CV/fraud work — code transferable
Timeline
8 weeks
Price band
Enterprise only
Enterprise $100k–$240k
Sustainment
$7k–$25k / mo
Technology stack
Azure MLAnomaly DetectorGPT-4oOpenCVPython
Reference metrics
96.3%
Signature Match
93.7%
Forgery Detection
98.9%
MICR Accuracy
Paired course
AI in Financial Services
Industries
Functions
Ready to scope this PoC?
Book a 30-minute discovery call. We’ll write a fixed-scope, fixed-price proposal within 5 working days.