Software that screens job applications, an assistant that answers customer queries, a model that drafts reports: behind every use of artificial intelligence, one question is becoming a business opportunity. Who can explain how it works, document its limitations and oversee its use? For European entrepreneurs, the AI Act is opening up a market less spectacular than generative models, but potentially lasting: making AI usable, controllable and commercially viable.
This analysis looks ahead to September 2026. It draws on the regulation adopted in 2024 and its original implementation timetable. The business prospects described are projections, not findings based on results already measured; they remain subject to potential legislative adjustments and further guidance from the authorities.
A timetable that turns projects into obligations
The European regulation on artificial intelligence, which entered into force on August 1, 2024, provides for a phased rollout. Since February 2, 2025, its prohibitions on certain practices have applied, alongside the obligation for the providers and deployers concerned to take measures ensuring sufficient AI literacy among their teams. The provisions on general-purpose AI models begin to apply on August 2, 2025, with specific transitional arrangements.
Under the adopted timetable, August 2, 2026 is the next major milestone: most provisions become applicable, including those covering many high-risk systems listed in Annex III and certain transparency obligations. High-risk systems linked to regulated products have a timetable extending to August 2, 2027. Not everything therefore takes effect at once.
This phased approach shapes the market. Before preparing documentation, a company must know what it uses, for what purpose and in what legal capacity. Buying a service, integrating a model into a product or substantially modifying a system does not create the same responsibilities. The first need is not a label: it is a reliable classification.
The first task: making AI use visible
In a small or medium-sized enterprise, the inventory rarely begins with an immaculate register. It means tracking down the writing assistant used in marketing, the ranking feature added to HR software and the transcription tool purchased with a credit card. For a service provider, this work combines interviews, contract analysis and an examination of actual usage.
An initial business offering is taking shape: assessment, system mapping, supplier identification, risk classification and an action plan. It can combine technical and legal expertise. Its value lies in its ability to prioritize: a writing aid should not automatically be treated like a system involved in a recruitment decision.
Compliance software vendors can scale up this inventory process. But a generic questionnaire is not enough. Classification depends, among other things, on the intended purpose and conditions of use. The best offerings will need to explain their conclusions, retain supporting evidence and flag cases requiring additional expertise.
Documentation: the first substantial market
For providers of high-risk systems, the regulation requires, among other things, technical documentation, risk management, data-related requirements and a quality management system. It also includes provisions on automatic event logging, human oversight and post-market monitoring. Deployers have their own obligations: they should not indiscriminately recreate the provider’s entire documentation package.
This distinction opens up several niches. Consultancies can help prepare documentation. Platforms can link software versions, test results, incidents and approval decisions. Sector specialists can translate requirements into the terminology of an HR department, a financial institution or an industrial company.
The value does not lie in the volume of documents generated. It lies in how accurately they reflect the system actually deployed. A document describing an outdated model or tests that were never performed creates an illusion of safety. The useful product is a living chain of evidence, maintained by teams and updated whenever the system changes.
Training: beyond the mandatory module
The AI literacy obligation provides a second area of opportunity. Article 4 requires consideration of people’s knowledge, experience, the context of use and the groups affected. It does not introduce a universal European certificate that every employee must obtain. Selling a badge as an essential regulatory requirement would therefore be misleading.
The most credible opportunity is context-specific training. A recruiter must understand the limitations of automated ranking and know when to take back control. A salesperson must recognize a fabricated answer. A buyer must question a supplier about data, performance and contractual responsibilities.
For training providers, the model could combine skills assessments, workshops on the tools actually being used and refresher sessions when significant changes occur. Practical exercises, learning assessments and records of the measures taken offer more than a standard video. The commercial challenge will be to distinguish this offering from the already abundant supply of general AI training.
Governance: organizing decision-makers
The third market concerns internal responsibilities. Who authorizes a new use? Who receives reports of problems? Who decides to shut down a system? A charter alone does not answer these questions. Management, IT, business departments, human resources and legal functions need to be connected, without creating a committee for every experiment.
An entrepreneur can offer outsourced governance or help establish it: purchasing procedures, approval criteria, an incident register and service provider monitoring. A fundamental rights impact assessment is required for certain high-risk deployments. It does not apply indiscriminately to all companies and is distinct from the impact assessment required under the GDPR.
The most relevant offerings should coordinate these frameworks rather than simply stack them on top of one another. Data protection, cybersecurity and sector-specific law continue to apply. A single point of contact makes the work easier; it does not make the obligations interchangeable.
A European market, but not without competition
Startups have strengths: close ties to specific sectors, multilingual support and integration with business software. However, they face established consultancies and major software vendors capable of adding governance features to their existing offerings. Specialization therefore appears more defensible than a blanket promise of “one-click compliance.”
The business model could combine an initial engagement with an ongoing support subscription, provided that the subscription funds a genuine service. Responsibility must remain clear: a dashboard does not amount to certification, and hiring a consultant does not automatically transfer the client’s obligations.
What next? Looking ahead to September 2026, the strongest bet is to sell reduced uncertainty: knowing which systems need oversight, what evidence to retain and who must act. If implementation follows the planned timetable, demand should gradually shift from one-off assessments to day-to-day operations. Entrepreneurs able to support that transition could turn compliance into lasting infrastructure for trust.
