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Not all automation is created equal, and choosing the right level of automation and measuring its value effectively can make the difference between a successful transformation and a costly misfire. This document explores the three core levels of automation, Traditional Automation (RPA), AI-Assisted (Copilot), and Agentic AI (Autonomous Agents), highlighting their strengths, limitations, and key value metrics.

Klarna, a global fintech leader, launched an ambitious AI initiative to automate its customer service operations across 23 markets and 35 languages. Partnering with OpenAI, Klarna deployed an AI assistant that handled over 2.3 million customer conversations in its first month, equivalent to the workload of 700 full-time agents.

To say that generative AI (genAI) evolves rapidly is an understatement. Keeping track of everything that’s happening can be overwhelming and time consuming. At the same time, you need to have a basic idea of what’s out there, or you risk falling behind. Luckily, our AI experts Wouter Labeeuw and Pieterjan De Schrijver did the heavy lifting for you.

Driven by AI, finance departments are pivoting from traditional analysis to a more streamlined, automated approach that focuses on planning, risk management, and strategic decision-making. But that’s not the only way in which AI and genAI are changing work for finance teams. The CFO, together with the CIO, also plays a key role in AI selection, adoption, and governance.