3 Tips for companies not to make mistakes in the use of AI 

The rapid adoption of artificial intelligence by companies has expanded the debate about its safe use. Currently, more than 80% of organizations already use artificial intelligence in some function of the business, according to McKinsey. In this context, tools such as “vibe coding” gain space, a practice that allows employees to create systems with AI using simple commands. Despite the productivity gain, experts warn that the absence of technical control can increase risks to information security.  

For Mateus Magno, CEO of Magnotech, a company specialized in the development of Artificial Intelligence solutions for business, control is no longer a secondary theme. It should occupy the center of decisions in the use of AI. 

“With the evolution of tools, the role of engineering has changed. The focus is no longer just to produce code, but to define architecture, ensure consistency, validate automated decisions and orchestrate hybrid systems.

Main risks 

The expert explains that the main risks of using uncontrolled vib coding arise when systems are left unprotected, automatic processes fail or when AI creates code that does not follow the company standard, which can generate errors and vulnerabilities.

The problem is aggravated by the so-called “shadow AI”, which is when employees use AI tools on their own without knowledge or control of the company.In these cases, it increases the risk of failures and even exposure of sensitive information.

To avoid these risks, Magnus proposes three types of control:

1. Define the use
Establish which tools can be used, by which teams and in which situations. This helps to have more control over the use of AI.

2 Periodic technical review
Review codes, validate systems, and test frequently to ensure everything follows company standards.

3. Set limits for decisions

Determine when AI can act alone and when it needs human review, especially in important processes.

For the expert, the ability to expand the use of AI with control should become a growth differential.“A AI can write code, automate processes and accelerate decisions. But it is still up to the human team to define what should be done, how it will be used and what risks are acceptable. This is where the future of organizations begins to be defined”, he concludes.