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Insurance8,000+ employees

How A National Insurance Carrier Secured Enterprise AI

TL;DR

  • —Underwriters and claims adjusters needed AI for risk assessment and claims processing, but policyholder PII and proprietary actuarial models required protection.
  • —Successfully implemented safe AI for companies within Insurance.
  • —Key results: -35% Claims Processing, 99.7% PII Protection, 2.5x Underwriting Speed, 8.2x ROI.

Challenge

Underwriters and claims adjusters needed AI for risk assessment and claims processing, but policyholder PII and proprietary actuarial models required protection.

Solution

Deployed Remova with PII redaction configured for insurance-specific data patterns (policy numbers, claim IDs, actuarial data). Department budgets separate underwriting, claims, and operations.

Results

-35%
Claims Processing

Claims processing time reduced 35% with AI-assisted analysis.

99.7%
PII Protection

PII detection accuracy across insurance-specific data patterns.

2.5x
Underwriting Speed

Underwriting research and risk assessment accelerated 2.5x.

8.2x
ROI

8.2x return on investment within the first 6 months.

“The insurance-specific PII patterns were critical. Generic DLP tools miss policy numbers and claim identifiers that Remova catches.”

Chief Digital Officer

National Insurance Carrier, A National Insurance Carrier

Knowledge Hub

Success Story FAQs

A National Insurance Carrier achieved significant measurable success, including -35% Claims Processing, by implementing Remova's leading platform for AI for companies.
The main hurdle was underwriters and claims adjusters needed ai for risk assessment and claims processing, but policyholder pii and proprietary actuarial models required protection. Remova's protocol for AI for companies provided a secure and compliant solution to overcome this obstacle.
Absolutely. This case study demonstrates how Remova's governance layer effectively manages industry-specific safety and cost concerns for AI for companies within Insurance.

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