<ul><li>Team workflows often rely on unwritten processes, making them vulnerable to AI-native competitors with structured workflows.</li><li>Leveraging Agentic AI can enhance efficiency while preserving a company's unique processes.</li><li>To configure successful AI workflows, defining clear goals, organizing data inputs, and mapping out business logic are crucial.</li><li>Establishing constraints is essential for defining an AI agent's operational boundaries.</li><li>Starting with high-frequency tasks and those with data from diverse sources are recommended for initial AI implementations.</li><li>Error-sensitive and subjective tasks may not be ideal choices for initial AI agent deployments.</li><li>Companies benefit from early adoption of AI technologies to evolve their capabilities and maintain a competitive edge.</li><li>Agentic AI implementation requires continuous improvement and adaptation of processes over time.</li><li>Early action is crucial for companies to leverage codified business processes and trial AI capabilities.</li><li>Implementing AI technologies early allows for learning and evolution of AI capabilities for sustained competitive advantage.</li></ul>

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