Why fraud analytics?
Fraud remains one of the biggest cost drains on personal lines insurers. Traditional detection approaches often generate too many false positives, frustrating genuine customers and overloading investigation teams.
With the right data and AI-driven fraud analytics, you can:
15% – 20%
Uplift in fraud capture rate
50% – 70%
Reduction in false positives
Faster, smarter investigations
Better customer experiences for genuine claimants
Our comprehensive fraud framework
We’ve worked with multiple UK personal lines insurers to build and deploy fraud analytics solutions across the claims value chain.
Fraud ring detection
<p>Uncover hidden connections across policies, claims, and parties using network analytics and graph techniques</p>
Document fraud analytics
<p>Identify manipulated or synthetic documents with AI-based image and text analysis</p>
Machine learning & AI models
<p>Custom-built models trained on your data and external sources to predict fraud with precision</p>
Targeted insights from external data sources
<p>Unlock the true power of external data through targeted exceptions to reduce false positives</p>
Pre-built fraud analytics solution
Accelerate your fraud strategy with our proven, ready-to-deploy solution:
- Data extraction & integration – Ingests internal data and clean external databases:
- SIRA
- CUE
- MIAFTR
- IFR
- Census
- MOT
- Model development & tracking – Build, deploy, and continuously refine ML/AI models to keep pace with evolving fraud tactics.
- Fraud insights dashboard – Real-time monitoring, alerts, and case tracking to support investigation teams.
Why work with us?
- Proven deployments – Pre-built solution already implemented with UK personal lines insurers
- Comprehensive approach – From document fraud to fraud rings, powered by AI
- Tangible results – Higher fraud capture, fewer false positives, better CX