"To successfully navigate the evolving landscape of AI, organisations must prioritise understanding workflows, fostering human-agent collaboration, and building expertise over relying on technology."

This article distills six practical lessons from a year of building and deploying agentic AI: focus on redesigning workflows (not just agents), check whether agents are actually the right tool, invest in rigorous evaluations to build trust, instrument step-level observability, prioritize reusable agent components, and plan for changing human roles. It emphasizes that sustained value depends on ongoing monitoring and feedback loops, with close human–agent collaboration to keep quality high and improvements continuous.