The Challenge
A Fortune 100 insurance company was releasing policy administration updates quarterly — a pace that couldn’t keep up with market demands. The bottleneck wasn’t development; it was QA. Their regression test suite of 12,000+ manual test cases took 6 weeks to execute, and coverage gaps meant critical defects regularly reached production.
Our Approach
We applied our Applied AI Consulting practice to transform their QA process:
Knowledge Extraction: Used DeepDive to reverse-engineer the policy administration system’s business rules, building a comprehensive knowledge graph of policy logic, rating algorithms, and regulatory constraints.
Intelligent Test Generation: Built AI agents that automatically generated test cases from the knowledge graph — covering edge cases that manual test writers consistently missed.
Self-Healing Test Automation: Deployed agents that adapted test scripts when UI elements changed, eliminating the #1 cause of false failures in their existing automation suite.
The Results
- 80% reduction in regression testing time: From 6 weeks to under 5 business days.
- 3x more defects caught pre-production: AI-generated tests covered edge cases human testers missed.
- Monthly release cadence: Faster QA unlocked the ability to ship updates monthly instead of quarterly.
- $8M annual savings: Reduced manual QA headcount needs and eliminated production defect remediation costs.