How GlobalLogic is re-imagining Quality in the Generative & Agentic AI Era

 
We are featured in Quality World magazine by the  Chartered Quality Institute, GlobalLogic’s Delivery Assurance (GL DA) function outlines how it is redefining quality in the era of AI, automation and customer-centricity. Ashwani Nandini, Corporate Vice President, Head of Quality, highlights in the feature how DA has evolved from a traditional audit-and-compliance role into a human-centered, intelligence-enabled capability that embeds quality into every stage of the project lifecycle.

Here are the key highlights from the Quality World Magazine article:

• Built-in design principle: GenAI and Agentic AI are embedded across the software development lifecycle to improve speed, insight, and consistency without compromising trust.
• Dual-layered AI framework: Generative AI acts as a reactive assistant – accelerating content creation, context retrieval, and onboarding. Agentic AI functions as a proactive governor – enabling governance, RCA automation, and real-time audit readiness.
• Persona-led design: The assurance model is built around four personas- AI Strategists, Practitioners, leadership, and QA Teams-ensuring clarity, relevance, and usability.
• Predictive and proactive outcomes: Early identification of risks, faster incident containment, and reduced recurrence through reuse of proven learnings.
• Smarter reviews, stronger leadership: Audits focus on effectiveness rather than documentation, enabling clearer stakeholders- level narratives and better decisions.
• Trust by design: Human judgment remains central, with explainable outputs, evidence-linked recommendations, and continuous learning built into the delivery system.
• Measurable business value: Early pilots show faster reviews, earlier incident containment, fewer escalations, and reduced manual effort.

Click here to view the full coverage

Note: This feature first appeared in the Winter 2025 issue of Quality World magazine, and is reproduced here with permission from the CQI and IRCA’.