Stop choosing the wrong Agentic AI use cases (www.techradar.com)

In a recent discussion on the strategic use of Agentic AI, industry experts cautioned against haphazard implementation of AI technologies without clear goals and understanding of workflows. The VP of AI transformation at Atos highlighted the tendency of organizations to adopt AI enthusiastically, often leading to misalignment between investments and actual outcomes. Many companies fail to capture baseline metrics, making it difficult to assess the true impact of AI and highlighting what McKinsey refers to as the “gen AI paradox,” where only 39% report financial benefits from their AI efforts. The article emphasizes the need for organizations to focus on defining value before implementing AI, suggesting a three-layer approach that includes adoption, behavior, and outcome measurement. It stresses that simply automating processes without understanding the complexity and nuances can lead to ineffective deployments. Key recommendations include building a concise portfolio of use cases based on clear metrics, investing in adequate support for AI integration, and recognizing that not all workflows require Agentic AI. Establishing a solid business case and ensuring precise measurement of success metrics are deemed essential for leveraging AI effectively and demonstrating its value.