Zurich Claims Intelligence

Award-winningVerification pending

by Zurich Insurance Group · Primary insurer

Market unit: Switzerland

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AI-driven claims triage and automated damage assessment for motor and property claims. The system classifies incoming claims, estimates severity, and routes complex cases to specialists while straight-through processing simple ones.

Machine learning and predictive analyticsComputer visionProperty insuranceMotor vehicle insurance

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AI capability and maturity

AI capability level

UnderstandGenerateReasonDecideActCollaborate

Capability Maturity Score (CMS)

5 / 6

Business Adoption Score (BAS)

4 / 6

AI Development Index (ADI)

20 / 36

See more information and theoretical background

Business context

Purpose of use: Accelerate claims settlement and improve fraud signal detection at first notice of loss.
Value chain steps: Claims managementFraud detection and prevention
Insurance branches: Property insuranceMotor vehicle insurance
Application scope: Internal only
Business criticality: Mission critical
Country or market unit: Switzerland

Value and impact

Added value category: Cost reductionCustomer experience improvementEfficiency gain
Added value estimation: Reduces average claims handling time by an estimated 40 percent across motor lines.
Estimated time savings: Approximately 12 minutes saved per claim
Estimated weekly case volume: 8,500
Time to value (months): 9
Competitive advantage gain: First mover in automated photo-based damage estimation in the Swiss motor market.
Quality gain: More consistent severity scoring and fewer manual classification errors.

Technical details

AI category: Machine learning and predictive analyticsComputer vision
AI model name: GPT-4o
Model version: 2024-08
AI platform provider: Microsoft Azure AI Foundry
Cloud provider: Microsoft Azure
Technology stack: PythonAzure Machine LearningComputer Vision API
Interfaces used: Core claims platform via REST API
Architectural insights: Hybrid architecture with a real-time scoring service and a batch retraining pipeline.
Automation level: 4/5
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 ActGeneral Data Protection RegulationSwiss Federal Act on Data Protection
Responsibilities: Claims operations team retains final decision authority; model governance owned by the data science office.
Data used: Historical claims records, repair cost databases, vehicle damage photographs.

Metadata

Development type: Scaled application
Go-live date: Sep 1, 2024
License model: Software as a service
Original source: https://www.zurich.com/insights/business/how-technology-including-ai-gives-claims-investigators-an-edge

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