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Baloise Fraud Shield

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by Baloise · Primary insurer

Market unit: Switzerland, Belgium

no ratings

Anomaly detection platform that scores claims for fraud likelihood using network analysis and behavioural patterns, flagging suspicious cases for special investigation.

Anomaly detectionMachine learning and predictive analyticsMotor vehicle insuranceProperty insuranceLiability insurance

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AI capability and maturity

AI capability level

UnderstandGenerateReasonDecideActCollaborate

Capability Maturity Score (CMS)

5 / 6

Business Adoption Score (BAS)

3 / 6

AI Development Index (ADI)

15 / 36

See more information and theoretical background

Business context

Purpose of use

Detect and prevent fraudulent claims earlier in the lifecycle.

Value chain steps
Fraud detection and preventionClaims management
Insurance branches
Motor vehicle insuranceProperty insuranceLiability insurance
Application scope
Internal only
Business criticality
Business critical
Country or market unit
SwitzerlandBelgium

Value and impact

Added value category
Cost reductionRisk reduction
Added value estimation

Targets a measurable uplift in detected fraudulent claims value.

Estimated weekly case volume
6,200
Time to value (months)
8
Competitive advantage gain

Graph-based network detection of organised fraud rings.

Quality gain

Higher precision reduces false accusations against honest customers.

Technical details

AI category
Anomaly detectionMachine learning and predictive analytics
AI platform provider
Databricks Mosaic AI
Cloud provider
Amazon Web Services
Technology stack
DatabricksSparkGraph analytics
Interfaces used

Claims system event stream

Architectural insights

Streaming feature pipeline feeding a gradient-boosted scoring model.

Automation level
3/5
Estimated IT difficulty
4/5

Compliance and governance

EU AI Act risk category
High risk
EU AI Act role
Deployer
Relevant policies
EU Artificial Intelligence ActSwiss Federal Act on Data Protection
Responsibilities

Special investigations unit reviews every flagged case before action.

Data used

Claims data, payment records, third-party fraud indicators.

Metadata

Development type
Minimum viable product
Go-live date
Dec 1, 2024
License model
Hybrid

Community

Average rating

0.0 · no ratings

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