Insurtech contact centers promise what traditional carriers can't: instant quotes, one-tap claims filing, and chat-first support. Many customers chose these carriers for the app. The CX challenge is maintaining that speed and simplicity in the contact center, because when the app can't solve the problem, the expectation for human support is equally high.
Map your current capabilities across all 7 layers: 35 checkpoints. Mark what you have, what you need and what is planned. Your answers stay in this browser tab.
Figures for this segment
No public benchmark exists for these figures in this segment. Measure your own with the tool named beside each.
Claims status bots with timeline and next-step guidance
FAQ bots covering coverage, deductibles, and filing claims
Key risk:AI damage assessment undervaluing a claim and creating a dispute
Layer 3: Policy & Guardrails
0 of 5 in place
Set the rules. Vendors in this layer include Custom compliance, Socotra, EIS.
State DOI compliance in every state where the carrier writes
Rate filing and form compliance for digital products
AI decisioning transparency and fair lending/pricing audit
Consumer data privacy (CCPA, state-specific) for app data
Claims handling compliance meeting traditional carrier standards
Key risk:AI pricing or claims decisions creating fair treatment violations
Layer 2: Workflow Execution
0 of 5 in place
Do the work. Vendors in this layer include Socotra, EIS, Majesco, custom platforms.
Instant bind workflow with real-time underwriting and payment
Photo-based claims FNOL with AI damage pre-assessment
Self-service policy modification with instant repricing
Cancellation workflow with instant refund calculation
Referral and rewards workflow for growth-driven insurtechs
Key risk:Instant bind without adequate underwriting creating adverse selection
Layer 1: Data Access
0 of 5 in place
Know the customer. Vendors in this layer include Socotra, EIS, Verisk, LexisNexis, Stripe.
Modern core platform with real-time APIs (Socotra, EIS, Majesco Digital)
Telematics and IoT data for usage-based and behavioral pricing
Third-party data enrichment (property, vehicle, credit, claims history)
Product analytics (Amplitude, Mixpanel) for user behavior context
Payment platform for instant premium collection and claims payment
Key risk:Third-party data dependency creating single points of failure
Mark at least 18 capabilities to see your profile (0 of 35 so far).
Sources and assumptions
Every figure on this page is a published figure checked on the publisher's own page, a labelled planning assumption you can test with your own numbers, or a worked example.
Worked examples
15% within 24 hours: Illustrative share of quoted, unbound users who contact support. A scenario; measure your own.
$3,000 against $5,000: Illustrative AI damage estimate against the repair cost. An illustrative scenario with no measured error rate.
No public benchmark
Average handle time, insurtech and digital carrier contact centers. No regulator or trade body publishes handle time for this line of insurance. Measure yours in AHT Decomposition.
First contact resolution, insurtech and digital carrier contact centers. No public source publishes first contact resolution for this line; SQM Group's insurance figure covers all insurance call centers it benchmarks. Measure yours in FCR Leakage Diagnostic.
Customer satisfaction, insurtech and digital carrier contact centers. No public CSAT percentage exists for this line; SQM Group's insurance figure covers all insurance call centers, and J.D. Power publishes index scores on another scale.
Self-service containment, insurtech and digital carrier contact centers. No regulator or trade body publishes self-service containment for this line of insurance. Measure yours in AI Deflection Reality Check.