AI agents are becoming more prevalent, yet many organizations struggle to make them effective. A report by Camunda reveals that while 71% of companies are implementing AI agents, only 11% have successfully moved any of these projects into production over the past year. This discrepancy highlights a significant gap between the potential of agentic AI and its current performance, with 73% of organizations acknowledging this disparity. The article emphasizes the importance of agentic orchestration as a necessary framework for reliable AI implementation in critical operations. It outlines key strategies for overcoming obstacles that prevent teams from harnessing AI's full potential. These include using deterministic models, establishing human checkpoints, implementing low-confidence fallbacks, and maintaining comprehensive audit trails. Real-world examples from customers illustrate the challenges faced and the methods that have proven effective in advancing AI initiatives. Panelists from Camunda provide insights into the future of enterprise agentic automation. They suggest that a structured approach can help organizations move past isolated pilot projects toward a more integrated and compliant automation strategy. Emerging trends and successful use cases are also explored, offering a practical blueprint for organizations aiming to leverage AI for critical processes.