Why should mid-market GCCs prioritize AI-driven QA today?

AI-driven QA helps mid-market GCCs reduce testing time, catch defects early, and improve release quality. It supports faster delivery without increasing headcount, making it ideal for lean teams facing high demand and complex release cycles.

How does AI-driven QA differ from traditional QA methods?

Unlike manual or scripted QA, AI-driven QA uses machine learning to analyze test coverage, predict failures, and optimize test cases. It reduces repetitive tasks and adapts over time, while traditional methods rely heavily on predefined scripts and human effort.

What immediate benefits can mid-market GCCs expect?

They can expect faster test cycles, fewer escaped defects, and improved test coverage. AI-driven QA also reduces reliance on manual testing, helping teams meet release deadlines more consistently and with higher confidence in software quality.

What risks do mid-market GCCs face if they delay AI-driven QA adoption?

Delaying adoption can lead to slower releases, higher defect rates, and increased rework. Over time, this creates delivery bottlenecks, weakens user trust, and makes it harder to compete with faster, more agile players already using AI in testing.

What’s the best starting point for a mid-market GCC to adopt AI-driven QA?

Start by identifying repetitive testing tasks and bottlenecks in your current QA process. From there, pilot AI tools for test case generation or defect prediction. Begin with one project, measure impact, and scale based on clear outcomes.

Manjeet Kumar

VP, Delivery Quality Engineering

Manjeet Kumar, Vice President at Tx, is a results-driven leader with 19 years of experience in Quality Engineering. Prior to Tx, Manjeet worked with leading brands like HCL Technologies and BirlaSoft. He ensures clients receive best-in-class QA services by optimizing testing strategies, enhancing efficiency, and driving innovation. His passion for building high-performing teams and delivering value-driven solutions empowers businesses to achieve excellence in the evolving digital landscape.