The digital transformation of a company is not just about migrating files to the cloud or deploying a CRM. Since 2024, a European regulatory stack (NIS2, GDPR, AI Act, DORA) is redefining how a digitization project should be designed. Measuring the gap between an internally driven transformation and one supported by IT experts helps to understand where the real success or failure of a digital shift lies.
Compliance and digital transformation: the regulatory framework that internal projects underestimate
Most content on digital transformation lists tools (cloud, AI, automation) without mentioning the legal foundation that conditions their deployment. An external IT expert integrates these constraints from the scoping phase, where an internal team often discovers them along the way.
| Regulation | Scope | Impact on a digitization project |
|---|---|---|
| NIS2 | Information systems security | Requirement to map cyber risks before any deployment of connected tools |
| GDPR | Personal data protection | Impact assessment (DPIA) required for each new customer data processing |
| AI Act | Artificial intelligence governance | Classification of AI systems by risk level, mandatory documentation, AI charter |
| DORA | Digital resilience (financial sector) | Regular resilience testing and audit of third-party IT providers |
This table shows that each technological component triggers a distinct regulatory obligation. A transformation project that ignores these texts accumulates a costly compliance debt to resolve later.
The AI Act, whose full applicability is expected in 2026, for example, requires establishing a formal inventory of AI systems used and verifying the compliance of suppliers. Without dedicated expertise, this step blocks the deployment of promising use cases.
IT consulting firms, such as those listed on bewise.fr, structure their interventions around this dual requirement: technical performance and compliance from the design stage.
IT experts and digital project management: what changes in team composition
Digital transformation today mobilizes profiles that traditional IT departments do not always have in-house. Lawyers, cybersecurity specialists, and compliance experts are involved from the launch, not at the end of the process. This change in sequence is directly linked to the regulatory framework described above.
Hybrid skills rather than purely technical
An IT consultant leading a digitization project for an SME does not just configure an ERP. They must also:
- Draft or audit the company’s AI charter, a document now required for any deployment of high-risk artificial intelligence systems
- Coordinate NIS2 compliance with the security officer by mapping critical digital assets
- Train business teams on personal data management in the new tools to avoid GDPR violations related to daily usage
- Document technical choices and resilience tests, a requirement imposed by DORA for companies in the financial sector
This versatility explains why digital transformation consulting firms are massively recruiting profiles with dual skills (technical and regulatory).
Internalize or outsource: a project-based decision
Hiring an AI compliance expert on a permanent basis only makes sense if the company is continuously deploying AI systems. For a one-off project of digitizing business processes or cloud migration, outsourcing to a specialized IT firm remains more effective. The cost is concentrated on the duration of the project, and the company benefits from accumulated experience from several similar missions.
Digital transformation strategy for SMEs: prioritize high-leverage processes
SMEs that successfully navigate their digital shift do not digitize everything at once. They identify processes where the gain is quickly measurable, then iterate.
Document management and electronic invoicing often constitute the first project. The reason is simple: the French regulatory calendar gradually mandates electronic invoicing, creating a concrete deadline. An IT expert transforms this constraint into an entry point to rethink the entire administrative flow.
In contrast, digitizing customer relations (CRM, marketing automation, self-service portal) generates results that are slower to measure. It requires prior work on data quality and training for sales teams. Without this human investment, the tool remains underutilized.
AI governance: a project in itself for companies
Deploying a chatbot or a predictive scoring tool is no longer just a technical decision. The AI Act requires formal governance before any deployment: ethical committee, inventory of systems, classification by risk level. An IT expert helps to build this governance without paralyzing business teams.
Companies using high-risk AI systems must document each solution, from the choice of algorithm to training data. This traceability, tedious without a method, becomes a competitive advantage when well-structured: it reassures clients, partners, and regulators.
Training teams and adopting digital tools: the often-overlooked factor
A digital transformation project rarely fails due to technology. The blockage almost always comes from a lack of training and change management support. IT experts who achieve sustainable results dedicate a significant portion of their intervention to upskilling end users.
This involves practical workshops on the deployed tools, as well as raising awareness of cybersecurity and data protection issues. An employee who understands why they must classify a document in a certain way, or why they cannot use an unlisted AI tool, adopts new processes faster than an employee who is imposed a change without explanation.
The European regulatory framework reinforces this training requirement. NIS2 imposes cybersecurity awareness obligations for leaders and teams. Training is no longer a bonus; it is a compliance condition.
The digital transformation of a company takes place on three simultaneous levels: technology, regulation, and human factors. Neglecting one of the three compromises the other two. The IT experts involved in these projects today are no longer just technical integrators; they orchestrate a change that touches the very structure of the organization.