How to adapt risk management systems to the new AI Act ...

The imminent entry into force of the European Union's Artificial Intelligence Regulation in 2025 marks a turning point in technology regulation. For sectors such as finance, construction, and hospitality, where risk management is fundamental, this new legislation is not only a compliance challenge but also a strategic opportunity to strengthen the trust and effectiveness of their AI systems. Adapting in time is key to avoiding penalties and positioning themselves as leaders in the implementation of responsible AI.

Understanding the impact of the AI Act on high-risk systems

The new legislation classifies AI systems according to their risk level, imposing very strict requirements on those considered “high risk.” Many applications used in finance (such as credit scoring), construction (safety monitoring on construction sites), and hospitality (surveillance systems or dynamic pricing) will likely fall into this category. This entails the obligation to guarantee high data quality, complete transparency in the algorithms, constant human oversight, and comprehensive technical documentation.

These requirements should not be seen as a burden, but rather as a framework for building more robust, fair, and reliable systems. Legal compliance not only mitigates legal risks, but also improves model accuracy, reduces bias, and increases the trust of customers and business partners in the technology your company uses.

Key steps for adapting your risk management systems

The first essential step is to conduct a comprehensive audit of all AI systems implemented in your organization. It is crucial to identify which systems exist, what data they use, and classify them according to the AI Act's risk criteria. This initial assessment will serve as the roadmap for defining priority actions and allocating the necessary resources for adaptation.

Once high-risk systems have been identified, the next step is to implement a robust AI governance framework. This includes designating clear responsibilities, establishing protocols for model validation and data lifecycle management, and developing effective mechanisms for human oversight. The key is to integrate these controls into existing processes, ensuring that compliance is an ongoing practice, not a one-off exercise.

In conclusion, the 2025 AI Act is not an obstacle, but a catalyst for operational excellence. Companies that proactively adapt their risk management systems will not only ensure regulatory compliance, but also build a competitive advantage based on trust and accountability. At Codice AI, we are ready to help you navigate this transition, turning the regulatory challenge into a growth opportunity.

Key Points of the Article

The EU's AI Act, which comes into force in 2025, requires mandatory adaptation of AI systems, especially those categorized as "high risk".
Credit scoring systems, construction safety, and hotel surveillance are examples of applications that will require transparency, human supervision, and high-quality data.
The first step in adaptation is to conduct an internal audit to classify all AI systems according to the new risk levels.
Implementing an AI governance framework is crucial to ensuring ongoing compliance and transforming regulation into a competitive advantage.