Calculating ROI for AI in Testing

STEP-BY-STEP GUIDE

Adopting AI in testing isn’t just about keeping up with trends—it’s about improving software quality, accelerating time-to-market, and optimizing your QA budget. But how do you measure its impact? This guide gives you the tools to calculate ROI and make informed, confident decisions.

• Clear frameworks for ROI calculation
  Step-by-step methods to evaluate the financial and operational impact of AI in testing.
• Practical formulas
  Easy-to-follow formulas to estimate savings from reduced testing time, lower maintenance costs, and improved defect detection.
• Real-world example 
  Illustrations of how organizations have calculated ROI, including scenarios like defect savings, time reduction, and productivity gains.

Discover how to calculate the value AI-powered testing can bring to your organization and make data-driven decisions with confidence.