Generative AI applications will remain a primary focus for enterprises in the next year or two, but they may not fully realize their potential until agentic AI is integrated into enterprise architectures. Agentic AI employs autonomous agents to adapt to dynamic environments and create results independently. When applied to business process workflows, it can replace static processes with dynamic automation systems. Agentic AI enables tools use, decision-making, planning, and reasoning functions in agents, which can work together to achieve goals. Frameworks are necessary to orchestrate these agents, enabling them to provide additional information or refine each other's outputs. This approach allows developers to build agentic processes by mixing and matching components, such as models, user input, and business services. Tools like Langflow simplify the process of building agentic systems through visual, low-code builders. Agentic workflows bring together enterprise data, AI, and APIs, forming systems of automation that empower domain experts to scale their abilities and improve enterprises through AI.