EU AI Act Compliance s BigHub

Do you lack the time to study complex regulations and want to avoid costly fines? Leave the burden of implementing the AI Act to us. We will guide you through the entire process and take care of everything from auditing your AI applications to creating internal policies.

EU AI Act consulting How we help

More about the AI Act

What is the AI Act and why does it matter

The AI Act is the first EU-wide legislation that sets clear rules for the development and use of artificial intelligence. Its goals are to:

Ensure the safe and ethical deployment of AI

Protect citizens from discrimination and misuse

Create a unified framework for businesses across the EU

Official text: EUR-Lex – AI Act

Overview by the European Commission: digital-strategy.ec.europa.eu

Who the AI Act applies to

The legislation affects companies that:

Use AI in customer service

A typical example is the use of chatbots, voicebots, and similar AI tools.

Process sensitive data with AI

This includes personal data, biometric information, or health-related data of individuals.

Rely on AI for decision making about people

For instance, in recruitment, employee scoring, or performance evaluation.

Integrate AI into products and services

Any incorporation of artificial intelligence into a company’s products, services, or processes.

Develop AI systems

Organizations that design and build any system using AI.

The AI Act therefore does not only concern technology companies but practically any business that works with AI.

Regulation

What the AI act regulates

The AI Act sets out many detailed requirements, but we will not overload you with them here. For any company using AI, it is important to know that the Act focuses on several key areas.

Risk classification

The legislation introduces a scale for assessing AI systems, ranging from minimal risk to high risk and even prohibited applications.

Obligations for developers and operators of AI

This includes compliance with safety standards, regular documentation, and strict oversight.

Transparency and explainability

Users of AI tools must be clearly informed when they are interacting with artificial intelligence.

Prohibited AI applications

For example, systems that manipulate human behavior or intentionally discriminate against specific groups.

Monitoring and incident reporting

Companies are required to report adverse events and malfunctions of AI systems.

Processing of sensitive data

The AI Act regulates the use of personal, biometric, and health-related data of individuals interacting with AI tools.

Risks and Penalties

Non-compliance may result in sanctions such as:

up to

7 %

of a company’s annual global turnover

A fixed fine of

million EUR

for prohibited AI applications

The AI Act is not a formality but a critical compliance matter.

Services

What you get from us

BigHub combines AI engineering with compliance expertise. Our advantage is that we deliver practical solutions, not just theoretical recommendations.

Resources and references:

Official AI Act text – EUR-Lex

EU Digital Strategy – AI Act overview

AI Association – Company guide

Internal policies for AI use

Audit and classification of existing AI applications

Risk assessment according to AI Act categories

Gap analysis and preparation of mandatory documentation

Processes for monitoring and reporting incidents

Ongoing compliance support

Who trusts us

Leading companies from around the world rely on us.

Read customer stories

Our solutions

Example use cases of how BigHub helps companies comply with the AI Act

Examples of BigHub projects within the AI Act framework.

Internal AI Governance Framework – For a major bank, we established policies for approving new AI use cases and managing their risk levels.

Customer Chatbot Audit – For a retail client, we reviewed chatbots to ensure they do not engage in prohibited practices, such as manipulating users, and prepared the required documentation.

HR Tool Risk Assessment – For a multinational company, we evaluated AI used in recruitment and employee performance assessment to minimize discriminatory bias.

ML Model Gap Analysis – For a manufacturing firm, we assessed predictive models and implemented measures to ensure transparency and explainability.

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