From Skepticism to Success: A Shift‑Left Quality Strategy for Large‑Scale Transformation
Speakers
Target Audience
Basic (no prior knowledge)
Description
Organizations across industries are accelerating digital transformation to enable automation, AI adoption, data-driven decisions, better customer experiences, and legacy system replacement. While 81% of organizations increased AI prioritization in 2024, around 70% of transformations still fail due to misalignment, late quality focus, resistance to change, and defect leakage. This session shares a real-world success story from a high-stakes CRM transformation replacing legacy platform with new age CRM solution as part of a global “One CRM” strategy. Early skepticism was high due to reliance on the legacy system and fears of disruption driven by industry failures. A quality assessment revealed of cross-team misalignment, late business involvement, limited domain knowledge, and significant defect leakage. To address these risks, a shift-left quality strategy was implemented, embedding business users early as empowered ambassadors, co-creating real-world scenarios, enabling early hands-on testing, and improving test coverage. The result was reduced defects, smoother UAT, strong adoption, a successful go-live without disruption, and a scalable foundation for continuous quality and automation.
You will learn
How early business involvement reduces risk and drives alignment, trust, and adoption
Why scenario-based testing is more effective for complex, high-impact transformations
How shift-left practices improve test data, coverage, domain knowledge, and early defect detection
Impact of empowering super users as “Ambassadors” to drive change and strengthen UAT
Practical ways to build a scalable quality foundation with reusable assets, regression, and automation readiness