Digital customer experiences no longer succeed just on design and workflows; today, the real decisions that shape customer outcomes are inconspicuously taking place at a ‘deeper level’ in the intelligence layer; this is the layer where data, algorithms, and AI models continuously learn and adapt. Yet most Quality Assurance (QA) is inadvertently fixated on what the end users see on the exterior or surface level, but not how systems actually think. Probing beneath this intelligence layer helps organizations build resilient, responsible, and future-ready AI systems that elevate experiences for the end customers.
With all the buzz on AI-led personalization ratcheting up, quality teams must validate parameters across intelligent systems. Movate’s Point of View (POV) is rife with rich perspectives as the author explores a critical shift from ‘surface level’ testing to ‘substrate level’ quality assurance.
“AI-driven personalization is likely to lead to revenue gains of 10 to 15 percent as per a leading industry research organization.”
This paper is grounded on solid uses cases (banking, retail, travel) and depicts how Quality Engineering (QE) needs to evolve in the AI era to drive value; the 8-page POV unveils the concept of AI Assurance as a renewed strategic focus that looks beyond ‘functional checks’ toward continual validation of decision intelligence.
Penned by Debraj Gupta, this POV offers insights for quality teams and leaders.