Making the business case for AI in software testing

AI has immense potential to transform software testing by improving quality, streamlining processes, and reducing cycle times. Building the business case for AI, however, isn’t about bold claims or speculative metrics—it’s about identifying specific areas where AI can deliver tangible, measurable benefits for your team and organization. In this webinar, we’ll explore how testing professionals and business leaders can take a practical, outcomes-driven approach to justify AI investments without relying on assumptions or overpromising results.

By the end of this session, you’ll leave with actionable strategies to build a compelling business case for AI in software testing, grounded in measurable outcomes that resonate with stakeholders and enable sustainable adoption.

In this webinar, we’ll cover:

• How AI can add value across key testing activities: identifying what to test, understanding risks, generating tests that address both capabilities and risks, automating and maintaining those tests, and interpreting results.
• How these advancements can free teams to focus on high-value, strategic activities requiring deep thinking and judgment.
• The unique risks AI introduces in testing and how to navigate them effectively to safeguard software quality.

Speaker: Ben Simo, Principal Product Researcher