Digital transformation is not just about installing software or opening a page on social media. It affects how a company processes its orders, communicates with its customers, trains its teams, and complies with regulations. In 2026, several new legal obligations make this digital transition even more concrete and urgent.
Electronic invoicing and AI Act: two regulatory constraints that change the game
Have you ever received a PDF invoice by email thinking it was “dematerialized”? This format will soon no longer be sufficient. Electronic invoicing will become mandatory for receipt starting September 2026 for companies subject to VAT in France. This means your accounting tool must be able to receive and process invoices in a structured format, not just store them.
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This change requires checking the compatibility of your management solutions. An ERP that does not handle the Factur-X format or the Peppol protocol will need to be replaced or supplemented. Choosing a digital tool is no longer just a matter of convenience; it is a legal obligation.
The other major constraint comes from the European AI Act, which came into effect in August 2024 and will be fully applicable in August 2026. If your company uses artificial intelligence tools (chatbots, automatic application sorting, customer scoring), you must document governance and provide for human validation. To delve deeper into these compliance and digitalization issues, specialized resources are available at https://www.digitolog.fr/ detailing the support available.
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Digital transition of internal processes: where to start concretely
Let’s take a simple example. A trading SME manages its purchase orders on a spreadsheet, its customer follow-ups via manual email, and its inventory in a notebook. Each step operates in isolation, but no one has an overall view. The salesperson does not know if the product is in stock, and the accountant discovers unpaid invoices three weeks late.
The first useful step is to map the information flows between teams. No need for an expensive audit: a diagram on a whiteboard is enough to identify duplicates, repetitive manual entries, and breaking points.
Once these bottlenecks are identified, the choice of tools becomes clearer. Here are the categories of solutions to consider as a priority:
- An integrated management tool (ERP or CRM) that centralizes customer, order, and inventory data in a single database, accessible by all relevant teams
- A document management solution compatible with electronic invoicing, capable of classifying, archiving, and transmitting documents in regulatory formats
- A collaborative space (like a cloud office suite) that replaces file exchanges via email and reduces version errors
The goal is not to change everything at once. Digitizing a single critical process yields more than digitizing ten secondary tasks.
The trap of choosing a tool before the need
Many companies select software because a competitor uses it or because a sales demonstration convinced them. The problem: the tool does not match the actual processes of the team. Three months later, employees revert to the spreadsheet.
The right approach is to describe the target process before seeking a solution. What result do you expect? Who is involved at each step? What data needs to flow automatically? These answers guide the choice much better than a feature grid.
Team training and daily change management
An effective digital tool remains useless if no one uses it correctly. Resistance to change is not a whim: it often stems from a lack of understanding. Why change a habit that works?
Training must precede deployment, not follow it. Specifically, this means training key users before going live, then allowing them to support their colleagues. This model of “internal referents” costs little and works better than a mandatory lecture-style training for everyone.
Another often-overlooked point: the right to make mistakes during the transition phase. If an employee fears “breaking” the system, they will avoid using it. Providing a testing environment or a dual operation period (old and new system) reduces this apprehension.
Cross-compliance with GDPR, NIS2, and AI Act: a design parameter
The digital transformation of 2026 is characterized by the overlap of regulatory frameworks. GDPR, NIS2, AI Act, and DORA must be considered simultaneously when choosing a tool or provider. This is no longer a legal issue addressed afterward; it is a selection criterion from the outset.
For example, a CRM tool that stores customer data must comply with GDPR. If it includes a predictive AI module, the AI Act requires governance documentation. If the company operates in a sector covered by NIS2 (energy, transport, health, digital infrastructure), additional cybersecurity requirements apply.
For an SME, the pragmatic solution is to:
- Ensure that the provider supplies up-to-date compliance documentation, not just a “GDPR compliant” mention on their homepage
- Identify an internal responsible person (even part-time) to monitor regulatory obligations related to digital tools
- Prefer solutions hosted in the European Union to simplify data transfer issues
AI governance in the company
AI is no longer an experimental subject reserved for large companies. Accessible tools allow for automating email sorting, writing reports, or analyzing business data. The challenge is no longer technical but organizational: defining who validates, what data is allowed, and what uses are prohibited.
A few-page internal document is enough to establish these rules. It should specify the authorized tools, the types of data that should never be submitted to an AI tool (sensitive personal data, strategic information), and the validation procedure before putting an AI-generated result into production.
The digital transition of 2026 is played out on two simultaneous fronts: operational efficiency and regulatory compliance. Companies that treat these two aspects as a single project, rather than as two separate undertakings, save time and limit costly rework mid-course.