The remarkable promise of GenAI-based agentic (AI agents) solutions, coupled with recent improvements in their ability to handle intricate tasks, has increased the potential for AI agents to manage IT systems.
Given the complexity and criticality of IT systems, a key challenge in IT automation is finding reliable ways to evaluate agents before using them in production. The successful adoption of AI agents for IT automation thus depends on the ability to measure and rank their reliability and efficiency in predefined and standard ways.