Errors in the integration of AI and possible solutions

Many companies make mistakes when integrating AI into their project management or structural processes. The Project Management Institute spoke to Robb Wilson, founder of OneReach.ai, about the mistakes made when integrating AI in companies and asked him about possible solutions.

The most common mistakes when integrating AI

According to Robb Wilson, it is particularly striking that most companies focus exclusively on cost savings through artificial intelligence when integrating AI into their processes. This is a very short-sighted approach, which, according to Wilson, may benefit shareholders and stakeholders, but slows down companies' growth.

Wilson sees the explanation for this in the fact that the failures in the integration of AI stem from the fact that AI requires an approach that shareholders and stakeholders tend to reject. According to Wilson, the correct introduction of artificial intelligence requires these three aspects:

- Willingness to take the risk that something will go wrong

- Acceptance that ROI is slower than usual

- Improvement of the company for customers and employees beyond the interests of shareholders

As an example, he cites call centers that replace human employees with inadequate AI instead of improving the quality of communication with customers through AI by having employees work with AI rather than being replaced by it.

However, this requires patience and the willingness to make mistakes and learn from them. Wilson believes that many companies are structured in such a way that mistakes are unavoidable when integrating AI. The necessary attitude is simply not there. This needs to change so that artificial intelligence can be meaningfully integrated into corporate structures.

Solutions for the mistakes made when integrating AI

In order to avoid mistakes when integrating AI into the company, Wilson suggests putting together a team from all areas and keeping an open ear for suggestions. The important thing is not to automate the processes that you already do, but to automate the processes that you should do.

Cooperation between man and machine is the key to success. To stay with the example of the call center: An AI can easily answer standard questions, but only the employees know what problems the callers have apart from the usual questions and know the customers' needs. AI cannot replace this experience.

To avoid being left behind, companies should start implementation now. The introduction of AI into the company does not have to be carried out on a large scale. Instead, a growing process makes sense. Start small and gradually automate more processes. This way, everyone can get used to the changes.

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