AI Act: European AI regulation
The AI Act is the first comprehensive legal framework governing artificial intelligence in the European Union. Its principle: to adjust obligations according to the risk level of each AI system. Here is what your organization needs to anticipate.
Risk-based regulation
Rather than imposing the same rules on all AI systems, the AI Act adopts a tiered approach: the greater the risks a system poses to people's rights, safety, or health, the stricter the obligations. A simple content recommendation tool and a CV screening system are not treated in the same way.
The regulation applies to both providers and deployers of AI systems whenever they operate on the European market. Its implementation is phased in over time, leaving a window to prepare methodically, ideally by relying on the standard ISO 42001.
The four risk levels
Unacceptable risk
Certain uses are prohibited (generalized social scoring, behavioral manipulation, etc.) because they conflict with fundamental values.
High risk
AI used in sensitive areas (HR, credit, healthcare, safety, etc.): enhanced obligations for risk management, documentation, human oversight, and traceability.
Limited risk
Systems such as conversational agents: a transparency obligation (the user must know they are interacting with an AI system).
Minimal risk
The vast majority of uses (anti-spam filters, suggestions, etc.): few or no specific obligations, with good practices encouraged.
Who is concerned?
Any organization that designs, integrates, or uses an AI system for the European market is potentially concerned (including when the AI comes from a third-party provider). The first step is to map its AI systems and classify them by risk level. This is precisely what an AI management system structures according to ISO 42001, in line with an audit such as theAI & LLM security audit.
Anticipate rather than react
The AI Act cannot be addressed on the eve of the deadline. The right approach is to inventory AI systems, classify them, identify those that are high risk, then build the expected documentation and governance: risk analysis, human oversight, data quality, traceability, incident management. An approach that naturally aligns with an SMSI ISO 27001 and a logic of governance, risk & compliance (GRC).
Prepare for the AI Act, step by step
Map your AI systems
Inventory the AI systems designed, integrated, or used, their purposes, and their providers.
Classify by risk level
Determine, for each system, its category under the AI Act and the associated obligations.
Structure governance
Define roles, human oversight, and processes, ideally through an SMIA ISO 42001.
Document & trace
Build the compliance file: data, tests, logs, risk and incident management.
Maintain compliance
Track deadlines, reassess systems, and update documentation as things evolve.
Why get support from BCIT?
A clear reading of the framework
We translate the AI Act into concrete obligations for your real-world use cases, without unnecessary legal jargon.
From scoping to audit
From classification to theAI audit, we cover the entire compliance journey.
Let's get ahead of the AI Act 🚀
Let's take 15 minutes to map your AI uses and build a realistic AI Act compliance roadmap.
AI Act: European AI regulation
The AI Act is the first comprehensive legal framework governing artificial intelligence in the European Union. Its principle: to adjust obligations according to the risk level of each AI system. Here is what your organization needs to anticipate.
Risk-based regulation
Rather than imposing the same rules on all AI systems, the AI Act adopts a tiered approach: the greater the risks a system poses to people's rights, safety, or health, the stricter the obligations. A simple content recommendation tool and a CV screening system are not treated in the same way.
The regulation applies to both providers and deployers of AI systems whenever they operate on the European market. Its implementation is phased in over time, leaving a window to prepare methodically, ideally by relying on the standard ISO 42001.
The four risk levels
Unacceptable risk
Certain uses are prohibited (generalized social scoring, behavioral manipulation, etc.) because they conflict with fundamental values.
High risk
AI used in sensitive areas (HR, credit, healthcare, safety, etc.): enhanced obligations for risk management, documentation, human oversight, and traceability.
Limited risk
Systems such as conversational agents: a transparency obligation (the user must know they are interacting with an AI system).
Minimal risk
The vast majority of uses (anti-spam filters, suggestions, etc.): few or no specific obligations, with good practices encouraged.
Who is concerned?
Any organization that designs, integrates, or uses an AI system for the European market is potentially concerned (including when the AI comes from a third-party provider). The first step is to map its AI systems and classify them by risk level. This is precisely what an AI management system structures according to ISO 42001, in line with an audit such as theAI & LLM security audit.
Anticipate rather than react
The AI Act cannot be addressed on the eve of the deadline. The right approach is to inventory AI systems, classify them, identify those that are high risk, then build the expected documentation and governance: risk analysis, human oversight, data quality, traceability, incident management. An approach that naturally aligns with an SMSI ISO 27001 and a logic of governance, risk & compliance (GRC).
Prepare for the AI Act, step by step
Map your AI systems
Inventory the AI systems designed, integrated, or used, their purposes, and their providers.
Classify by risk level
Determine, for each system, its category under the AI Act and the associated obligations.
Structure governance
Define roles, human oversight, and processes, ideally through an SMIA ISO 42001.
Document & trace
Build the compliance file: data, tests, logs, risk and incident management.
Maintain compliance
Track deadlines, reassess systems, and update documentation as things evolve.
Why get support from BCIT?
A clear reading of the framework
We translate the AI Act into concrete obligations for your real-world use cases, without unnecessary legal jargon.
From scoping to audit
From classification to theAI audit, we cover the entire compliance journey.
Let's get ahead of the AI Act 🚀
Let's take 15 minutes to map your AI uses and build a realistic AI Act compliance roadmap.