Quality engineering has become the backbone of digital trust and business resilience in today’s AI-first world. In this landscape, AI in quality assurance is not just a trend—it’s a strategic imperative. Organizations are leveraging GenAI engineering and AI-driven testing to deliver robust solutions that meet the demands of modern enterprises.

Wipro’s 2025 State of Quality Report provides a strategic reflection on how enterprises are evolving from traditional defect detection to holistic business assurance. Based on a comprehensive study of 200 global Quality Assurance programs, this edition uncovers the structural shifts, rapid GenAI adoption, and emerging talent models that are redefining the future of quality and AI in Quality Assurance.

Read the report to find actionable insights that will help leaders confidently navigate complexity and drive meaningful transformation, while equipping organizations to thrive with clarity, resilience, and innovation in the era of intelligent assurance. The quality report highlights how AI-driven testing and GenAI engineering are transforming the way organizations approach quality, making assurance more predictive, adaptive, and autonomous.

Sorabh Singhal

Senior Vice President & Global Head, Industry Cloud and Digital, Wipro

Quality engineering is now a shared journey where teams, partners, and clients collaborate to build resilient systems and lasting value. GenAI adoption is opening new possibilities, but our real progress comes from nurturing talent, fostering innovation, and aligning quality with business outcomes. As we move forward, our strength lies in learning together, adapting boldly, and making quality the catalyst for growth, sustainability, and customer success.

Bhushan Bagi

General Manager and Global Head, Quality Engineering and Testing, Wipro

The future of Quality Engineering isn’t about testing faster – it’s about engineering trust into every line of code. GenAI engineering is the catalyst, but the real transformation begins when quality becomes predictive, adaptive, and autonomous. Agentic AI will take us there – where assurance is continuous, resilience is built-in, and speed never compromises trust. That shift isn’t on the horizon anymore – it’s already taking shape.

The 4M Lens

Model


Model

Federated structure with centralized guardrails drives agility and supports AI in quality assurance.

Method


Method

Continuous assurance and real-time risk sensing guide delivery, powered by AI-driven testing and GenAI engineering.

Machinery


Machinery

Hybrid platforms and governed AI power intelligent automation, an aspect of advanced quality assurance.

Mindset


Mindset

Adaptive teams and focused learning fuel transformation, with a strong emphasis on GenAI adoption and evolving quality assurance programs.

Key Trends from the State of Quality Report 2025

Agentic AI Orchestration

AI agents now autonomously manage assurance workflows, a hallmark of AI in quality assurance.

Continuous Assurance Everywhere

Quality checks and risk sensing happen in real time, driven by AI driven testing.

Platformized, Hybrid Quality Ecosystems

Unified platforms and hybrid tools drive scalable automation, central to Wipro quality assurance implementation tactic.

Who Should Read Report

  • CXOs (CIOs, CDOs, CEOs) seeking to minimize risk and unlock digital growth with AI in quality assurance and GenAI engineering.
  • QA and Shared Services Heads focused on standardizing processes and enabling agile, scalable quality assurance programs.
  • Business Unit Leaders aiming for faster releases and smoother delivery, without compromising on quality, based on AI driven testing and GenAI adoption.

What You’ll Gain From Report

  • Actionable strategies to embed AI in quality assurance and GenAI adoption.
  • Practical guidance for building resilient, trusted digital systems.
  • Insights on transforming talent, roles, and team structures for the future, with a focus on GenAI engineering.
  • Data-driven benchmarks and best practices from leading enterprises.

Download Report