The field of Quality Assurance (QA) is undergoing a radical transformation, driven by advancements in AI-powered test automation, no-code testing, and an increasing focus on women in tech leadership. Women in enterprise QA are not just adapting—they are leading digital transformation, redefining software testing strategies, and driving innovation.
The Avo Automation webinar, Women in Tech – Future of QA, moderated by Lucia Cavero-Baptista, VP of Marketing at Avo Automation, featured a powerhouse panel of industry leaders:
This blog synthesizes key insights from the webinar, integrating broader industry trends, expert perspectives, and the future of software testing in an AI-driven landscape.
Traditional QA methods relied heavily on manual software testing, which was time-consuming, error-prone, and resource-intensive. However, AI and no-code testing are revolutionizing the industry by enabling faster, smarter, and more efficient test execution.
AI-powered test design: Creates a minimal set of test cases that provide maximum coverage for business risk.
Self-healing test automation: Automatically adapts to UI and code changes without manual intervention.
AI-assisted analytics: Detects patterns and identifies potential failures faster than traditional testing methods.
During the webinar, the panelists made it clear. AI is not replacing QA professionals—it is empowering them to become strategic quality enablers. The future of QA belongs to those who can leverage AI automation while applying human intuition to software reliability.
As Emily Knight pointed out, no-code automation tools are a game-changer for enterprise QA testing. By eliminating the need for complex scripting, no-code platforms empower business users and functional testers to execute automated tests efficiently.
Impact of No-Code Testing:
Example: Moody’s Corporation has successfully leveraged Auvo Automation’s no-code automation to speed up SAP testing, reduce manual efforts, and increase software deployment efficiency.
Enterprise software—especially ERP systems like SAP and Oracle Fusion—requires robust QA testing due to complex integrations and regulatory requirements. However, organizations still face challenges in adopting AI test automation, such as:
Key Insight from Praty Poondla: AI enables risk-based testing, where high-impact business functions are prioritized, ensuring maximum test efficiency with minimal effort.
Historically, women have been underrepresented in software testing leadership roles. However, today’s women in enterprise QA are playing a crucial role in digital transformation.
Example: At Resulting IT, Abigail Allman has championed no-code automation for SAP testing, allowing business users to validate system behavior without coding dependencies. This has accelerated transformation projects while reducing reliance on external consultants.
The QA function will no longer be a cost center—it will be a strategic asset ensuring business continuity, compliance, and transformation success. But where do we see AI heading towards?
McKinsey’s research shows that companies with diverse leadership outperform competitors by 25% in profitability and innovation.
Women in QA leadership will drive AI-powered test automation forward through:
The Women in Tech – Future of QA webinar highlighted a critical shift—women are not just participants in QA evolution; they are driving AI-powered testing strategies. So what should women in QA focus on to stay at the forefront in their organizations?
The future of software quality assurance is not just about technology—it’s about the people leading the transformation.
Connect with Avo Automation and our expert panelists on LinkedIn to stay updated on the latest in AI-driven testing and enterprise QA innovation.
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