How Axis Capital Reduced AI Report Errors by 94%
Axis Capital's AI-generated financial reports were producing 12% error rate on key metrics. SENTINEL-X's automated prompt regression suite and hallucination detection brought that to under 0.7% in 30 days.
The Challenge
Axis Capital was building AI-powered workflows that required consistent, high-quality outputs at scale. Like most enterprise AI teams, they faced the classic reliability triangle: speed, quality, and cost — and they were struggling to balance all three without a systematic quality framework.
The Solution
After evaluating several AI testing platforms, Axis Capital chose SENTINEL-X for its breadth of coverage — from pre-deployment prompt testing to live production monitoring. Integration took less than two hours using the Python SDK.
- ✓Automated prompt regression tests in CI/CD
- ✓Live hallucination detection with custom thresholds
- ✓Real-time quality dashboards for the entire AI team
- ✓Automatic alerts when quality drifts below SLA
The Results
Within 30 days of deploying SENTINEL-X, Axis Capital saw dramatic improvements across their AI quality metrics. The team reduced their manual QA time by over 80%, allowing engineers to focus on building new features rather than chasing regressions.
"SENTINEL-X gave us the confidence to ship AI features twice as fast. We no longer lie awake worrying about what our LLM might say to a customer." — Head of AI, Axis Capital