Pilotbird Lifestyle Analytics

Insurance Marketing Trends

Pilotbird Revocation

Fraud Analytics In Insurance

Key features

01

Lifestyle Risk Scoring

Detects fraud through
social data analytics.

02

Lifestyle Risk Scoring

Fully automated validation process.

03

Lifestyle Risk Scoring

Easy to incorporate to your current workflow.

Expected Impact

~6%

Reduced leakage

Use Cases

Underwriting Artificial Intelligence

Detect individuals who smoke but claim they don't.

Detect individuals who smoke but claim they don't

Kiwi leverages social data points to support claim and underwriting teams at Fortune 500 carriers by flagging inconsistencies between the individual’s disclosed lifestyle and their actual life choices. Kiwi engages with a national carrier to identify individuals who may smoke but chose not disclosed the harmful habit during the underwriting process.

Disability Insurance Fraud

Detect individuals who claim to be disabled but aren't.

Detect individuals who claim to be disabled but aren't

Kiwi engages with a Fortune 500 carrier to identify its policyholders who have claimed disability coverage but demonstrate an active lifestyle without disability. Kiwi analyzes tens of millions social data points to identify inconsistencies between policyholders disclosed lifestyle and their actual activity. The results are expected to reduce claims leakage by ~6% over time.

Underwriting Artificial Intelligence

Detect individuals who smoke but claim they don't.

Detect individuals who smoke but claim they don't

Kiwi leverages social data points to support claim and underwriting teams at Fortune 500 carriers by flagging inconsistencies between the individual’s disclosed lifestyle and their actual life choices. Kiwi engages with a national carrier to identify individuals who may smoke but chose not disclosed the harmful habit during the underwriting process.

Disability Insurance Fraud

Detect individuals who claim to be disabled but aren't.

Detect individuals who claim to be disabled but aren't

Kiwi engages with a Fortune 500 carrier to identify its policyholders who have claimed disability coverage but demonstrate an active lifestyle without disability. Kiwi analyzes tens of millions social data points to identify inconsistencies between policyholders disclosed lifestyle and their actual activity. The results are expected to reduce claims leakage by ~6% over time.

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