Organizations must strategize AI agent management effectively

This year, artificial intelligence (AI) agents are becoming a hot topic. Many organizations are starting to explore how these AI systems can work with less human involvement. According to a recent survey by KPMG, over half of the companies are looking into AI agents, but only 12% have actually started using them. As AI technology develops, businesses are under pressure to improve efficiency. Leaders are trying to align their AI goals with practical strategies. This involves preparing their teams for a shift from general AI to more advanced AI agents. Rodney Madanes from EY explains that companies need to create a strategy and build the right infrastructure to support these AI agents. Michele Franceschini from Bloomberg emphasizes that AI agents require management similar to human teams. He highlights three key principles: empowering, delegating, and verifying. Empowering means ensuring AI agents have access to the data and tools they need to function well. This includes making sure that data is organized and available. Delegation is also crucial, as companies must trust that AI agents can perform tasks effectively. However, because AI agents are not perfect, Franceschini notes that organizations will need to adapt their cultural practices to support this new way of working. Verification is essential too, as companies must ensure that AI agents act ethically and remain compliant. When managed properly, AI agents can enhance productivity. Chris Savage from Wistia envisions a workplace where AI works alongside humans, optimizing their efforts. However, this change will require a cultural shift within organizations. Many employees still need education on the benefits of AI, making them hesitant to change their work habits. Savage points out that adapting to AI will be easier for startups than for larger traditional businesses. Success in using AI will depend on how well companies delegate repetitive tasks, allowing humans to focus on creative and strategic responsibilities. Leaders like Arnab Mishra stress the importance of starting small with clear use cases and measuring results to demonstrate the value of AI. This gradual approach is seen as crucial for the successful integration of AI technology in the workplace.