Since February 2, 2025, the European regulation on artificial intelligence (AI Act) imposes concrete obligations on organizations deploying advanced digital tools. This regulatory framework reshapes the conditions under which digital transformation can truly enhance the performance and competitiveness of businesses.
AI Act and Digitalization: The Regulatory Framework Businesses Must Integrate
The AI Act directly regulates the digital tools used by companies in their digital transformation. The European regulation requires that individuals using AI systems possess a sufficient level of competence, whether they are providers or deployers.
Specifically, an SME adopting a chatbot for its customer service or a predictive analytics tool for its production must ensure that its employees understand how these technologies work. Training is no longer a bonus: it is a compliance obligation.
Companies that approach digitalization as a mere software purchase expose themselves to a gap between their performance ambitions and their legal obligations. This issue, as detailed by the Ideelogique website, directly conditions an organization’s ability to leverage its digital investments.
Transparency of AI-Generated Content: A Deadline for Digitalized Companies
Starting August 2, 2026, the transparency obligations set forth in Article 50 of the AI Act will come into effect. Chatbots will need to indicate their automated nature to users. Synthetic content and deepfakes must be identified as such.
For companies that have digitalized their customer relations, this deadline is significant. An automated commercial process, from the first contact to post-sale follow-up, must integrate clear identification mechanisms. The identification of automated uses must be an integral part of the customer experience, from the design of the journey.
Field feedback varies on this point: some organizations see this transparency as a barrier to customer adoption, while others view it as a trust lever. The effect of these obligations on conversion rates and customer loyalty remains to be observed in the first months of implementation.
Managing Digitalization by Risk Level, Not Just by ROI
The traditional approach to digital transformation relies on return on investment. The cost of a tool is evaluated, productivity gains are projected, and a decision is made. The AI Act introduces a different logic: digital projects must be managed by risk level.
The regulation classifies AI systems into four levels, from minimal risk to unacceptable risk. A product recommendation tool will not be subject to the same requirements as a scoring system used in human resources or credit. This classification requires companies to map their digital uses before investing.
The criteria to evaluate for each digitalization project include:
- The risk level of the system according to the AI Act classification (minimal, limited, high, unacceptable), which determines the documentary and technical obligations
- The actual capability of teams to master the tool, a condition of compliance since February 2025
- The impact on existing business processes, particularly the collection and processing of customer data
- The regulatory deadlines to be met, with application dates staggered until 2027
An SME digitalizing its production with connected sensors is not in the same regulatory situation as a company deploying an automated application sorting system. The digital strategy must now intersect expected performance and regulatory exposure.
SME Competitiveness in the Face of Digitalization: The Gaps Are Widening
Large companies have legal departments and IT managers capable of absorbing regulatory complexity. For SMEs, the picture is different. Digitalization remains a major competitiveness lever, but the conditions for access are tightening.
The paradox is clear: digital tools have never been more accessible (cloud solutions, monthly subscriptions, no-code interfaces), but their compliant deployment requires expertise that many small organizations do not have in-house.
Training Employees in Digital Technologies
The obligation for users to master AI transforms the training budget. It is no longer just about learning to use software, but about understanding how an algorithm produces its results, what data it uses, and what limitations it has. Training in digital tools becomes a compliance item, just like training in workplace safety.
Data and Internal Processes
The digitalization of production, customer management, or invoicing processes generates increasing volumes of data. The value of this data directly depends on its quality and governance. A company that digitalizes without structuring its data collection ends up with high-performing tools fed by unusable information.
Current digital solutions allow for the automation of a significant portion of administrative and production tasks. However, automation without data governance produces ephemeral gains. Companies that gain a sustainable competitive advantage from their digital transformation are those that invest as much in the quality of their data as in their tools.
Digitalization and Customer Relations: What AI Compliance Changes
Customer relations is the area where digitalization produces the most visible effects. Chatbots, automated CRMs, personalized recommendations, real-time tracking: digital technologies have transformed every touchpoint.
The transparency obligations of the AI Act add a layer of complexity. Clearly identifying automated interactions does not mean giving up automation. But it requires rethinking the customer journey:
- Every interaction with a chatbot or virtual assistant must include an explicit mention of its automated nature
- AI-generated content (personalized emails, product descriptions, automatic responses) must be identifiable
- Companies must document the systems used and their risk level in their customer communication
This constraint can become a commercial argument. A company that is transparent about its digital uses strengthens the trust of its customers. The first organizations to seamlessly integrate these mentions into their customer journey could gain a competitive advantage, while others will face the constraint.
Digitalization remains the primary lever for performance and competitiveness for French companies, including SMEs. Productivity gains, process improvements, and customer relations remain at the center of the game. Organizations that integrate regulatory requirements from the design phase of their digital projects avoid the costs of late compliance and secure their investments in the long term.
