AI is moving beyond experimentation in organizations and becoming essential for automation, enabling agents to perform complex tasks independently. A roundtable discussion revealed that companies must act quickly to integrate AI, or risk falling behind. The focus should not be on technology itself, but rather on solving real business problems. Successful integration involves understanding where AI can add value, rather than viewing it as an IT project. Organizations must also distinguish between workflows suited for AI agents and those better served by traditional methods.
The use of AI within organizations is at a tipping point. It is now becoming more fundamental, as AI agents independently perform complex tasks, make decisions and evolve.
Organizations are progressing the most when approaching AI not as a project for the IT department, but as a new way of working that benefits the business.
Itâs not about perfect implementation, but about getting started, learning, and scaling up. Clarifying where AI can add value is crucial.
Certain types of automation are better suited to more traditional approaches, highlighting the need to decide when to opt for AI agents versus traditional workflows.
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