AI integration in companies – Between potential and reality

Artificial intelligence (AI) has developed rapidly and is now much more than just a trendy technology. Companies worldwide are intensively engaged in implementing AI technologies to increase efficiency and productivity. But what does the reality of AI integration look like? 

The data comes from the Swiss Software Industry Survey 2024 (SSIS 2024), which examines the use and integration of AI in Swiss software companies. 

Great potential – but little strategy yet 

Many companies see the use of AI as an opportunity: 64,7% of the Swiss software companies surveyed believe that AI can bring significant business benefits, and 50,7% expect a clear competitive advantage. Nevertheless, it is evident that many companies still lack a concrete strategy for AI implementation. Only a third of the companies have formulated a vision or strategy, and even fewer have defined clear goals or standards for AI use. 

Low external pressure – companies act on their own initiative 

Another factor influencing the adoption of AI is external pressure from the market and stakeholders. Surprisingly, only 36,4% of Swiss software companies feel significant competitive pressure to integrate AI into their business processes. AI is also not yet a necessary expectation from customers, partners, or suppliers – less than 20% of companies perceive clear requirements in this regard. 

Lack of AI governance as a challenge 

A key factor for successful AI implementation is governance – the rules and structures that govern the responsible use of AI within a company. However, there is still considerable room for improvement in this area. Only 32,9% of companies report having clear guidelines for the use of AI. Even fewer companies have control mechanisms such as checklists or monitoring systems in place to ensure that AI technologies are used responsibly. 

Transparency regarding AI decisions is also often lacking. Only 31% of companies have developed processes to explain to users why AI systems make certain decisions. Such measures are essential for building trust in AI technologies and minimizing errors or unexpected results. 

Little measurement of AI benefits 

Although AI is often associated with high expectations, few companies measure its actual benefits. Only 32,2% of companies track its impact on productivity, while only a quarter examine its effects on costs or software quality. 

Conclusion: Companies recognize the potential, but lack structure. 

The results paint a clear picture: While the potential of AI is recognized in the business world, many companies still lack strategic concepts, governance mechanisms, and clear measurement methods. Although the implementation of AI is a focus for many companies, without a structured approach and concrete goals, the actual benefits remain limited.