Wat leren we van de eerste bedrijven met agentische AI

Early adopters of agentic AI systems are sharing insights with businesses still considering deployment. These trailblazers highlight the importance of starting with well-defined use cases, ensuring robust data quality, and maintaining human oversight throughout implementation. Key lessons include the need for clear governance frameworks, iterative testing, and realistic expectations about timelines and resource requirements. Organizations looking to implement agentic AI can benefit from studying these early experiences to avoid common pitfalls and accelerate their own adoption strategies.