AI Agent Testing: Evaluating the Testers of Tomorrow

AI agent evaluation: comprehensive framework for measuring agent performance

AI agents are rapidly becoming central to enterprise operations, with 60% of organizations now deploying agents. However, despite widespread adoption, 39% of AI projects in both 2024 and 2025 continue to fall short of expectations.AI agent evaluation systematically measures performance, reliability, and safety across task completion, decision-making quality, and user interaction effectiveness. Enterprise-grade evaluation combines automated bench…

AI Agent Testing: Evaluating the Testers of Tomorrow

AI agent testing is becoming a cornerstone of modern software quality assurance. Intelligent agents now perform autonomous decision-making, workflow automation, and user services, making it critical to validate their dependability, fairness, and safety. Unlike traditional software, AI systems are adaptive, context-aware, and capable of learning from experience, which requires innovative approaches beyond conventional validation techniques. The G…