Without clear business goals – no measurable results
The first step is to clearly define which business goals the AI agents should achieve. An AI agent should have a clear mission, for example a ”monitoring agent” should monitor and improve the uptime of a machine, the “communication agent” focuses on communicating that there is a problem with the uptime of a particular machine. By linking specific roles with clear goals for each agent, measurable results are created
The next step is to ensure that the data and infrastructure are ready. The success of AI agents depends on access to high-quality data and robust processes. Improving data infrastructure and creating clear guidelines for how the business should function is crucial to avoid AI projects stopping at the prototype stage.
It is also important to have a phased implementation; starting by implementing the use of AI in the most important parts of the business. It may sound obvious, but too often companies are tempted to try to run a full-scale launch right away.
Counteract staff fear of AI
For AI to become an integral part of the company, of course, the organization and staff must also be on board. A major challenge today is that many employees worry that AI will threaten their jobs. In this case, It means creating clear plans for the transition, educating staff and involving them early on – so that they understand that AI should be seen as a tool to free up time for more value-creating work, not as a threat. It’s about the company’s competitiveness over time, where AI will play a crucial role in the company’s future growth and profitability
Finally, continuous measurement and improvement are extremely important. Evaluating how AI agents perform and gradually giving them more autonomy is the key to scaling up. At the same time, the organization must have clear frameworks to guide development and ensure that AI acts in line with the company’s values and goals.
I am convinced that the companies that take these steps on their AI journey will be the market winners. Because the industrial AI revolution is about translating the enormous opportunities we now face into real results.
By Martin Gunnarsson, SVP Product & Partner Strategy, IFS
