The "State of Agentic Orchestration and Automation 2026" report reveals insights from 1,150 IT leaders and business decision-makers on the automation landscape. As companies increasingly focus on automating critical processes, they grapple with complex tech environments and the swift integration of AI into daily operations. While AI agents present opportunities for automating intricate knowledge tasks, many organizations struggle to bridge the gap between the potential of agentic AI and its practical application at scale. Key findings highlight a significant intent to ramp up automation spending. About 79% of respondents plan to increase their budgets by an average of 20% over the next two years. Despite this optimism, a disconnect persists. Seventy-three percent of decision-makers acknowledge a gap between their aspirations for agentic AI and the current reality. Organizations manage an average of 50 endpoints in their processes, which is growing at 14% annually. Furthermore, 81% of leaders believe that without proper orchestration of AI agents, achieving a fully autonomous enterprise remains unrealistic. The report emphasizes the need for enterprises to transition from isolated experiments with AI agents to a more integrated and governed approach. Fostering smarter orchestration can help address the rising complexity of processes and maximize the benefits of AI while mitigating operational risks.