The Velocity Gap in BFSI Software Quality
Why Traditional QA Fails Modern Finance
The BFSI sector faces immense pressure to deliver rapid digital transformation, but outdated, manual QA has become a bottleneck. AI accelerates innovation but introduces unpredictable behaviors that legacy approaches can’t handle. Fragmented toolchains and slow, error-prone testing expose banks to security risks, costly inefficiencies, and customer churn.
Download this whitepaper to learn how to:
- Address non-determinism in AI-powered financial systems
- Move from reactive bug-finding to proactive trust engineering
- Integrate holistic, automated testing across web, mobile, and APIs
- Quantify the bottom-line impact of engineered software quality
What You’ll Discover Inside
- Core principles of Trust Engineering for BFSI institutions
- Qyrus platform’s role in enabling unified, intelligent, and automated QA.
- Case study: 200% ROI for a leading UK bank using agentic QA.
- Strategies to protect customer data, enhance user experience, and reduce manual testing effort.
