A French SME that integrates a generative AI tool into its customer service is not merely being forward-looking. It is responding to a concrete constraint: handling more requests without hiring, while maintaining a level of personalization that its customers now expect as standard. Modern business in 2024 is defined less by grand concepts than by these daily trade-offs, where technology, regulation, and consumer expectations intersect in practice.
Electronic invoicing in France: an obligation that changes internal processes
There is a lot of talk about AI and digital marketing, but the most tangible constraint for French companies in the coming years is regulatory. The obligation for electronic invoicing applies to all businesses, including SMEs and micro-enterprises, with a deadline for issuance set for September 1, 2027.
This is not just a simple digitization of paper documents. It involves choosing a partner dematerialization platform, adapting management software, training accounting teams, and reviewing internal validation circuits. For a company of ten people, this represents several months of preparation if one wants to avoid bottlenecks on the D-day.
Understanding these operational changes is part of what can be found on business according to Qui Peut, where business trends are discussed from the perspective of decisions to be made rather than concepts to skim over.
A common pitfall: waiting until the last quarter before the deadline to start the project. Dematerialization platform providers will be overwhelmed, integration times will lengthen, and configuration errors will be costly in terms of correction time.
European AI regulation: what companies must implement now
The European AI Act is not a theoretical text reserved for tech giants. Its implementation timeline directly affects companies that use artificial intelligence tools, even third-party solutions.
Since February 2, 2025, prohibited AI practices are in effect, and the obligation of AI literacy applies to any organization deploying these technologies. This means that employees using a chatbot or a scoring tool must understand how it works and its limitations. Training a sales team to use an AI-enhanced CRM is no longer a managerial bonus; it is a regulatory requirement.
Obligations related to general-purpose AI models came into effect on August 2, 2025. For software publishers and integrators, this means documenting models, assessing risks, and ensuring transparency towards end users.
Two concrete actions to prioritize
- Map all tools integrating AI in the company (from automatic email sorting to product recommendation engines) to identify those that fall under the AI Act
- Establish a minimal training program for teams handling these tools, with documented evidence, as compliance will be verifiable
- Check with each SaaS provider that they comply with the new transparency obligations regarding the models used
Compliance with the AI Act is not a barrier to adopting artificial intelligence. It is a framework that encourages companies to use these tools in a more structured way, which, in practice, reduces errors and improves customer trust.
Financial fragility of companies: signals to watch in your own business
Business failures in France remain a very real risk. Recent analyses show that fragilities accumulate in successive layers: pressure on margins, rising financing costs, and transformation investments to absorb simultaneously.
It is observed that the most exposed companies are those that have postponed their modernization investments for several years and now have to finance the digital transition, regulatory compliance, and adaptation of their offerings to new consumer expectations simultaneously.
Field indicators to anticipate difficulties
Rather than watching macroeconomic statistics, it is more beneficial to monitor your own weak signals. An extension of customer payment deadlines, a decline in average basket size over several consecutive months, or an increasing dependence on a single sales channel are more reliable alerts than a sector report.
Diversifying revenue channels remains the best protection against a sudden downturn. A service company that generates all its revenue through a single marketplace takes a structural risk that no marketing optimization will compensate for.
Personalization of the customer experience: beyond marketing automation
Personalization is no longer limited to inserting the customer’s first name in a promotional email. Consumers expect product and service recommendations that reflect their purchase history, declared preferences, and usage context.
Companies that succeed combine transactional data and behavioral data to offer tailored shopping journeys. An e-commerce site that adjusts the display order of its products based on real-time browsing behavior converts significantly better than a static catalog.
The limit varies depending on the size of the company and the quality of the data collected. A micro-enterprise with a base of a few hundred customers will not have the same segmentation capabilities as an e-commerce player handling millions of transactions. The challenge for small structures is to start with simple actions (segmentation by purchase frequency, targeted follow-up on abandoned carts) before considering more sophisticated tools.
- Segment your customer base by actual purchasing behavior rather than generic demographic criteria
- Test one personalization lever at a time to measure its impact on the conversion rate
- Collect customer feedback after each personalized interaction to adjust the relevance level
The business trends of 2024 are not just a list of technologies to adopt. Each decision involves a budget, a timeline, and an execution capacity that must be honestly assessed before embarking. Electronic invoicing, AI compliance, financial robustness, and customer personalization form four concrete projects, each with its own deadlines. It is better to execute two correctly than four halfway.
