Agent confidence on the technical frontier

Enterprise organizations are increasingly investing in agentic AI (AI systems that can autonomously plan and execute multi-step tasks) to automate workflows and improve business outcomes, with technology teams showing high confidence in agents for structured tasks like data monitoring and report generation. However, agent effectiveness drops when complex tasks require business context (the specific goals, rules, and data relevant to an organization), which remains difficult to supply at the speed and quality needed. Human oversight is emphasized as essential to deploying agentic AI safely and reliably.