Implementing the generative AI is a complex process that requires careful planning and continuous adaptation, and its success depends largely on how the transition and the specific context of each company is managed. This technology not only automates repetitive tasks, but also has the ability to customize professional training and development, adapting to the individual needs of each employee.
Based on its extensive experience in this area and given its relationship with a wide range of companies from various sectors, Mioti Tech & Business School, The school of technology applied to the leading businesses in Data Science, artificial intelligence and new technologies, has identified the most frequent errors when implementing AI in companies:
- Do not accurately define the problems to be solved
It is essential that organizations clearly define the specific problems that generative AI must address. One of the most common mistakes is not to have a clear strategy or try to implement generative artificial intelligence without a specific objective. This implies that companies must clearly define how they want to use AI to contribute value to their business.
“It is equally important to distinguish those areas in which AI can promote the productivity of the employees of those in which it offers value to the operational processes. This implies assigning licenses and tools of AI to the profiles that promote changes and whose roles have a direct impact on the operation, or that benefit significantly from a productive advantage. At the same time, it is necessary to take into account those positions with repetitive tasks that can be progressively displaced by AI towards more strategic functions in the medium and long term “underline Fabiola PérezMyti CEO.
It is essential that organizations clearly define the specific problems that generative AI must address
According to McKinsey’s report «The State of Ai in 2024», Companies that clearly define their objectives with AI have 40% more likely to obtain a positive return of investment in AI. The report emphasizes that a well -defined strategy is essential to align AI initiatives with business objectives.
- Do not take advantage of AI as a competitive advantage and underestimate the importance of data quality
Generative artificial intelligence and data -based decision making stand out as the main competitive advantages for global business leaders and the analysis of alternative data sources emerges as one of the main cases of use of generative AI. According to a Experian study7 out of 10 Spanish managers consider that the competitive advantage in their sector will depend on who can make the best use of AI.
The generative AI depends on precise and high quality data, and if the data is poor, the results will also be. This phenomenon is described as “Garbage in, Garbage Out” (garbage that comes out, garbage that comes out). In your report «Data Quality and Ai», Gartner points out that organizations that invest in improving the quality of their data can increase the performance of their AI models by 20% or more.
- Assume that generative AI can replace all human tasks
As the Future of Jobs Report 2025 of the World Economic Forum The skills of analytical thinking, resilience, flexibility and agility, leadership and social influence and creative thinking are essential to complement the technical capacities that generative the AI already provides.
IA tools allow automate routine tasks and release time for activities that require human skills with greater added value, such as strategic decision making.
- Think that the systems department can train the entire company in generative
The training in AI should not depend solely on the systems department. It is key to implement an interdisciplinary approach, where generative training is accessible to all levels of the organization to make the most of technological abilities and promote innovation. Without adequate training, employees may have difficulty adopting and using new AI tools, which limits the positive impact of technology. A study Prepared by Mioti reveals that 67% of companies are already using generative artificial intelligence to optimize their processes and improve their competitiveness, underlining the importance of personalized training in these tools to boost employee development.
- Unreal expectations on exponential results
To assume that the generative AI will provide exponential results without updating the processes, to current people and tools is another frequent mistakes committed by some companies. Successful digital transformation requires continuous reassessment of processes to maximize the benefits of AI.
“There are two main ways of implementing artificial intelligence safely in a company: the face and economic. The expensive option consists in acquiring premium licenses for all employees and delegating to the IT team the supervision of proper use, preventing sensitive data from sharing. The most affordable alternative bets on the federation, that is, developing an own chatbot. From our consultant, myself Services, we are displaying this type of solutions in just one week.
“Now, having an AI tool is of no use if it is not accompanied by an internal dissemination work. It is essential to explain to employees how it works, what benefits it has and what guarantees it offers in terms of privacy and safety. It is enough with a clear and didactic session. The advantage of having its own system is that, being designed and ‘prompt’ by us, it offers more direct and adjusted responses to what is really needed. It remains within the company. Point out Fabiola PérezMyoti CEO when implementing AI in SMEs or startups.
A future driven by AI
Artificial intelligence has the potential to greatly transform business processes and talent management. Its success will depend on efficient and ethical integration, and how its value is communicated at all levels of the organization. Companies that adopt these technologies will be better positioned to compete in the global market and attract the talent they need to prosper in the digital age.
