Agentic workflows, powered by AI agents capable of reasoning, memory retention, and tool usage, offer a transformative approach to business operations by enabling processes that adapt and improve in real time, unlike traditional rule-based automation. These workflows are built on agentic architectures, which provide the necessary infrastructure and system design, and are crucial for executing complex, dynamic tasks across various industries, including customer service, financial fraud detection, and supply chain optimization. The integration of agentic workflows promises significant productivity gains, cost reductions, and error minimization, as companies shift from isolated AI solutions to comprehensive, autonomous systems that continuously enhance operational efficiency. The implementation of such workflows requires robust data infrastructures, ensuring unified data access, real-time visibility, and secure governance, which platforms like Acceldata facilitate by offering intelligent data management and observability tools.