A small business of twelve people losing half a day because its ERP crashes after an automatic update is a common scenario. The computer is running, the licenses are up to date, and yet production stops.
The problem almost never comes from the hardware: it stems from a combination of tools that have not been designed to work together. Custom IT solutions start from this observation to build a technical environment aligned with the actual processes of a company, not based on a generic catalog.
Technical audit before any purchase: the foundation of a custom IT solution
We regularly see organizations piling up SaaS subscriptions without mapping their data flows. The result: duplicates between a CRM, a shared spreadsheet, and an invoicing tool that do not communicate.
A serious technical audit begins with an inventory of existing tools, the volumes of data exchanged, and the breaking points. Not a “strategic” audit in PowerPoint, but a concrete assessment: which applications are running, which APIs are available, where teams are wasting time re-entering data manually.
It is from this diagnosis that specialized providers like net-lab.fr build coherent architectures tailored to the size and business constraints of each organization.
Without prior mapping, any custom solution remains superficial customization. It dresses up a shaky existing system instead of restructuring it.
SMEs and AI adoption: barriers that are not just financial
According to Insee, 18% of French companies with 10 or more employees used AI technology in 2025, up from 6% in 2023. The figure rises to 58% for large companies but remains at 15% for those with 10 to 49 employees.
The gap is not only explained by budget. Among companies not using AI, 54% cite a lack of expertise, and 71% state they do not see its usefulness. In other words, the primary obstacle to automation is the absence of identified use cases, not the cost of the license.
A custom IT solution for an SME must therefore include a needs qualification phase. Specifically, this means answering three questions before coding anything:
- Which repetitive process consumes the most man-hours each week (data entry, follow-up, sorting, reporting)?
- What data is already structured and usable without massive cleaning?
- Does the team have a point of contact capable of testing and adjusting the tool after deployment?
If the answer to the third question is no, it is better to plan for post-delivery support rather than deliver a tool that no one will use after three months.
European regulation on AI: a constraint to integrate from the design stage
The European AI Act has been gradually coming into effect since 2024. Since February 2025, AI systems deemed to pose an unacceptable risk are prohibited.
Any solution incorporating AI must be designed with these regulatory obligations in mind. This also applies to SMEs that integrate artificial intelligence components into their management, customer relations, or logistics.
In practice, this means that the provider developing a custom solution must document the datasets used for training, ensure traceability of automated decisions, and provide for a mechanism for human oversight. This is not a regulatory luxury: it is a condition for the tool to remain legally usable in the months following its deployment.
Web development and business tools: what distinguishes customization from configuration
Many providers sell “custom” solutions that actually consist of configuring existing software. This is not the same thing. Configuring a standard tool means adapting pre-existing options. Developing a custom solution means writing specific code for a need that the market does not adequately cover.
The boundary often lies in integration. A common example: a company managing its orders via an ERP, its inventory via another tool, and its customer relations via a third. Configuration allows these components to coexist. Custom development creates the connectors that enable them to communicate in real-time.
Feedback varies on this point, but it is observed that a well-documented custom connector costs less over three years than daily manual re-entry, even if partial.
Criteria for deciding between configuration and development
- If the need is covered by a native feature of the software, configuration is sufficient and cheaper to maintain
- If the need involves a data flow between two tools that do not have compatible APIs, developing a dedicated connector becomes necessary
- If the business process is likely to change every six months, a modular architecture with replaceable components is preferable to a monolithic block
Data management and cybersecurity: two sides of the same project
One cannot talk about digital transformation without addressing data protection. Companies already using AI cite data protection and legal uncertainty among their main obstacles.
A custom IT project integrates security from the design stage: encryption of data flows, role-based access management, logging of actions. This is not an added layer afterwards.
Security is considered alongside architecture, not as a corrective measure after an incident. A provider offering custom development without an integrated security audit delivers an incomplete product.
SMEs outsourcing their infrastructure to the cloud must also check the location of the hosted data and the provider’s compliance with GDPR. Hosting in Europe is not a technical detail; it is a legal obligation for many sectors.
Public support exists, notably through France Num initiatives. But these aids do not replace a rigorous technical diagnosis. A well-sized tool for ten workstations delivers more performance than an oversized platform that no one masters.
