S1 E6 - Why Your AI Agents Are Not Making Money

This discussion explores a strategic framework for evaluating the return on investment (ROI) of AI agents. It argues that senior leaders must move beyond surface-level automation metrics to examine the total cost of ownership, data maturity, and economic impact. Key considerations include whether these tools solve genuine business problems or merely create replicable efficiencies that fail to offer a structural advantage. Furthermore, the discussion highlights the importance of governance and risk management, asserting that autonomy without oversight results in deferred costs. Ultimately, the source for the discussion encourages boards to determine if AI is truly transforming their operating model or simply being layered over inefficient legacy processes.Taken from the originally article: https://lizhendersondata.wordpress.com/2026/03/01/ai-agent-questions/