When machines control themselves, it radically changes financial management. 🤖📈
Many people talk about GenAI—but hardly anyone talks about AI agents capable of taking action. That is precisely where real pressure is building on the finance sector today.
A CEO recently said, “Our bots will soon be managing everything on their own.” The BCG study “Leading in the Age of AI Agents” confirms this momentum. In my practice, I see many experiments—yet the management system often remains unchanged.
👉 Agent-based AI is neither a traditional tool nor an employee. It plans, acts, and learns autonomously across multiple systems. This challenges traditional roles in finance and operations.
👉 Without clear governance, the agent becomes a risk. Who decides when an agent is allowed to act and when it isn't? This question is underestimated in many finance teams. ⚖️
👉 Workflows must be designed with agents in mind, not automated on a task-by-task basis. Think in terms of end-to-end processes that an agent can handle entirely on their own. Otherwise, new silos will emerge—modern, but ineffective.
👉 The role of the CFO is evolving into that of an orchestrator of hybrid teams. You manage both people and machine agents. Middle management is becoming leaner, and decision-making processes are becoming shorter.
👉 Don't just invest in models—invest in the ability to learn: Monitoring, retraining, and clear performance criteria are essential. Your team must be able to understand, question, and correct AI decisions. 💡
Agent-based AI will transform financial organizations faster than any ERP implementation has before. Those who align their governance, roles, and workflows now will gain a real competitive edge.
Source: BCG, “Leading in the Age of AI Agents,” 2025.
How do you already deal with the fact that machines make their own decisions?