Thinklytics

Employers Holdings Inc. · Financial Services · Austin, TX · 16 weeks

Policy data quality score raised from 61 to 94

A mid-market insurance carrier spent $1.2M on an AI underwriting platform but couldn’t launch it because the policy data quality scored only 61 out of 100. We improved the data quality to 94 within 16 weeks, enabling the carrier to proceed with their $8.4M underwriting project.

Challenge

The carrier spent $1.2M on an AI underwriting platform that demanded a data quality score of 80 across 10 categories. Their policy data scored 61. The vendor’s fix would cost $2.8M. They needed a faster, more affordable solution.

Outcome

By week 16, the policy data quality score hit 94. We launched the AI underwriting platform three weeks after delivery. The carrier projects $8.4 million in annual savings from improved underwriting efficiency. Our total cost was $340K, a fraction of the vendor’s $2.8 million estimate.

Results

  • $8.4M Annual underwriting value added
  • 61 to 94 Data quality score
  • $340K vs. $2.8M vendor quote
  • 16 wks Delivery to go-live

We had $1.2 million stuck in a platform we couldn’t use because our data wasn’t ready. The vendor told us it would take another $2.8 million to fix it. Then Thinklytics came in and handled the whole thing for $340,000 in 16 weeks.

Chief Actuary, Mid-Market Insurance Carrier

Thinklytics

Data and AI consulting for Fortune 500s, health systems, and growth-stage companies. Clean data, governed metrics, analytics ready for AI.

Austin, TX · United States

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