Growing with AI: Transforming test automation without losing the human edge

Preeti, a test automation lead, presents the GROW framework for implementing AI in testing while maintaining human oversight. She begins by polling the audience about their AI usage in testing, finding that most are already using AI tools daily. The presentation covers the evolution of testing from manual to AI-assisted approaches, emphasizing that AI represents evolution rather than replacement. The GROW framework consists of four key elements: Guide with empathy (leading change with care rather than mandates), Reskill the team (building new capabilities on existing skills), Ownership over AI (maintaining human control and critical thinking), and measuring the impact of AI implementation. 

Preeti discusses common failures when organizations mandate AI adoption, explaining how teams often fear job loss rather than embracing the technology. She demonstrates the importance of structured prompting and context engineering, showing how generic AI outputs can be improved with proper framework information. The presentation includes examples of AI hallucinations and emphasizes the need for human review at every stage of the software testing lifecycle. Preeti concludes that the goal is not AI-driven testing but better quality outcomes through human-AI collaboration, preserving the essential QA mindset that cannot be replaced by artificial intelligence.