The rapid development of artificial intelligence-based tools presents enterprises with a great opportunity to optimize performance and accelerate development. 

The interest of companies in using AI’s possibilities in everyday activities is well illustrated by the results of the “Logicalis CIO Report 2024: The Future Face of Tech Leadership”, according to which as many as 89% of respondents are actively looking for opportunities to incorporate artificial intelligence into their enterprise’s activities. 

While the benefits of developing and leveraging AI tools are significant, there are numerous obstacles that organizations may encounter along the way 

In this article, we have described the 5 most serious challenges faced by companies interested in implementing AI tools in their operations, together with solutions suggested by the SOFTIQ AI team. 

1. Lack of skilled talents 

Enterprises often lack specialists who understand artificial intelligence’s technical aspects and its application in specific business contexts. 

According to the “IBM Global AI Adoption Index 2023” study results, limited AI skills and expertise were the most serious barriers to implementing AI in 33% of enterprises. 

Lack of internal expertise is a major obstacle to AI implementation, as companies need skilled professionals who: 

• understand business needs and can translate them into applications using AI, 
• can create, train, and maintain artificial intelligence models, 
• can integrate AI tools with the company’s workflows. 

How can SOFTIQ AI help you overcome this challenge? 

The tools we have developed do not require specialist knowledge in the company to start using them. Created as a response to specific business needs, they are developed and maintained by a team of our specialists, thanks to which they fulfill their function regardless of users’ level of knowledge about AI. 

2. Potential high investment cost 

The initial investment required to develop your own AI tools for your business can be significant, discouraging some companies. 

According to the results of the study “The state of AI in early 2024”, published by McKinsey & Company, costs are a key challenge in scaling AI initiatives for nearly 40% of surveyed enterprises. 

An additional limitation for companies with no experience with AI is the difficulty in estimating the scale of costs involved in training AI models. These include expenses related to the employment of specialists, hardware fees (rental of efficient machines or cloud resources), and software fees (specialized tools for data processing, model development, and training). 

How can SOFTIQ AI help you overcome this challenge?  

Our AI tools are available in packages tailored to the company’s needs, allowing you to start using artificial intelligence in your company without the need to develop your own solutions. 

3. Difficulty demonstrating the business case 

Many companies struggle to decide where and how to integrate AI into existing processes, as they do not know where the potential benefits are greatest. 

This lack may be due to factors such as insufficient knowledge of AI’s capabilities, challenges in identifying the best ways to use it in a company, or uncertainty about its potential benefits. 

According to a study conducted in the fourth quarter of 2023 by Gartner, the difficulty in estimating and demonstrating the value of AI projects is the primary obstacle to implementing artificial intelligence for as many as 49% of respondents. 

Companies will struggle to justify investing in developing and implementing personalized AI solutions without a well-defined idea and business case. 

How can SOFTIQ AI help you overcome this challenge? 

The AI solutions we offer were first developed for our internal use to facilitate their work. This ensured their effectiveness and the business justification for implementation before introducing them to our offer. 

4. Data privacy concerns 

Technologies using artificial intelligence collect and analyze large amounts of confidential data, raising concerns about privacy and security. 

The “Global AI Readiness Index 2023” study conducted by PwC showed that 60% of surveyed managers believe that the lack of clear regulations on data privacy related to AI hinders the implementation of artificial intelligence in their organizations. 

On the one hand, data privacy regulations such as GDPR and CCPA hold companies accountable for how they collect, store, and use sensitive data. On the other hand, companies often do not have knowledge and certainty about how their use of AI-based solutions will affect compliance with these regulations. 

How can SOFTIQ AI help you overcome this challenge? 

Our solutions are based on fully GDPR-compliant technologies. SOFTIQ AI tools run on cloud providers’ infrastructure, which provides the SOC Type 2 security standard. 

This level of security is comparable to that used in Microsoft cloud services, such as Sharepoint, where data is stored similarly. 

5. Integration problems 

Integrating new artificial intelligence tools with the company’s systems may be a technical challenge and require large resources. 

The “State of AI in Enterprise Decision Making” study, conducted by McKinsey & Company in 2023, found that 70% of respondents found integrating AI with legacy IT systems a significant challenge. 

Limitations in this aspect may include, among others: 

• data incompatibility – existing systems may use different formats or data structures, which makes it difficult for artificial intelligence models to access and use information, 
• technical complexity – Connecting AI systems to existing workflows and infrastructure is complex and requires specialized knowledge. 

How can SOFTIQ AI help you overcome this challenge? 

The solutions we develop do not require advanced integration with other systems. 

This allows them to be used by any company, regardless of its IT infrastructure and level of internal technical skills. 

Why is it worth considering implementing AI tools in your company? 

By choosing the right AI-based tools tailored to your company’s real business needs, you can significantly facilitate and speed up your teams’ work, increasing efficiency and cost optimization. 

Some large enterprises may decide to develop their own solutions, but most will not be able to afford them due to costs and a lack of appropriate specialists. 

In such a situation, to fully exploit AI-based tools’ potential while avoiding the risk of failure of an internally implemented project, it is worth considering a ready-made solution such as SOFTIQ AI products.