AI Governance - compliance and security of your organization
Reduce AI risks and prepare your business for AI Act.
Do you use artificial intelligence in your organization? This means that you are already (or will soon be) subject to the new obligations under the AI Act, GDPR and ESG regulations.
At Crowe, we support companies in building AI Governance – a consistent framework for AI governance – that ensures regulatory compliance, data security, control over models, and mitigation of legal and reputational risks.
What is AI Governance?
AI Governance is a structured approach to managing artificial intelligence within an organization, ensuring control, compliance, and accountability. It involves setting clear rules, procedures, and oversight to ensure your use of AI complies with regulations – especially the EU AI Act.
Well-designed AI Governance allows a company to:
AI Governance is not just for large corporations
If your company uses AI – e.g. in recruitment, customer analysis, sales forecasting or automated recommendations – it means that you already need clear rules for the safe and responsible use of artificial intelligence.
It is medium-sized enterprises that have the greatest chance of growth thanks to AI today. Why?
They are more flexible than corporations and innovate faster.
They can quickly enhance efficiency, build trust, and gain a competitive advantage.
Well-implemented AI simplifies and speeds up operations – instead of complicating them.
AI Governance principles help you grow without chaos, mitigate risk, and build trust with customers and partners.
This is why AI Governance should be a topic for every CEO today who thinks about scaling a business, not just survival.
Why is AI Governance crucial today?
Implementing artificial intelligence into business processes is not only an opportunity, but also new responsibilities. More and more companies are using AI without realizing the need to include this area in an appropriate supervisory framework.
Without effective AI Governance, organizations face regulatory sanctions, reputational risks, and a loss of control over their technology. A well-designed AI governance framework is not a cost — it’s an investment in safe growth and organizational transparency.
AI is increasingly supporting operational and strategic decisions – but its uncontrolled implementations can lead to serious breaches of law and trust.
The EU AI Act and other regulations impose new obligations on organizations that use AI – including risk classification, model documentation and surveillance.
Management boards and IT/Data departments must act consciously and responsibly, managing risk and meeting transparency and auditability requirements.
Improper implementation of AI can lead to:
- Heavy fines – up to €35 million or 7% of global turnover for non-compliance with the EU AI Act
- Serious violations of the GDPR – decisions made automatically without explanation threaten lawsuits and sanctions by the Personal Data Protection Office
- Loss of trust of customers and investors – erroneous algorithms = bad decisions = reputational crisis
- Management and IT responsibilities – lack of oversight of AI can be considered a breach of due diligence
What is AI Governance service?
This is comprehensive support for the assessment, design and implementation of AI management mechanisms in your organization.
AI Governance - the scope of support for your company
Our approach combines legal, technological and audit expertise. We work methodically, but flexibly - adjusting the scope of support to the scale of AI use in your organization.
In just 20 weeks, we will comprehensively implement the AI Governance process in your organization, which will allow you to meet regulatory requirements, mitigate risks, and consciously build the value and competitive advantage of your company.
Stage 1: Audit - AI Governance Maturity Diagnosis
We analyze the current level of AI management in your organization. We identify strengths, gaps and areas for development.
Stage 2: Gap Assessment and Risk Assessment (AI Act / ISO)
We conduct a detailed analysis of compliance with the requirements of the AI Act and ISO standards, identifying key risks and corrective actions.
Stage 3: AI policies and management system
We create a coherent AI management system, develop policies, procedures, and recommendations that ensure compliance, transparency, and security.
Stage 4: Training and workshops
We prepare management and operational teams for the practical application of AI Governance principles - through dedicated training and workshops.
After implementation, we continue to support your team through on-demand consulting or dedicated support channels.
Benefits for your business:
✅ Compliance with the AI Act, GDPR and ESG regulations
✅ Readiness for regulator and investor audits
✅ Avoiding heavy penalties (up to EUR 35 million or 7% of global turnover for non-compliance)
✅ Increased transparency and control over AI projects
✅ Enhanced employee competence and risk awareness
✅ Minimized risks — legal, operational, and reputational
Who is this service for?
The AI Governance service is designed in particular for:
- CEOs and board members who want to securely scale their AI usage and ensure regulatory compliance,
- Operations and technology directors (COO, CTO) responsible for process efficiency and security,
- Legal, compliance and risk departments, which must implement AI Act and ISO standards,
- HR departments and training, which develop AI competencies in the organization,
- Organizations in the financial, manufacturing, service, and public sectors, where AI-powered decisions are business-critical.
Why Crowe?
- Multidisciplinary AI Governance team – a combination of legal, technological and auditing knowledge
- Lawyers – interpret the requirements of the AI Act and GDPR and create compliant policies
- Risk analysts and auditors – assess gaps and organizational risks
- Data and AI experts – understand the architecture and lifecycle of AI models
- Cybersecurity experts – keep your data, models, and AI infrastructure safe
- Process experts – integrate AI into your company's processes for efficiency and control
- ESG consultants – take into account the requirements of responsible AI and transparency towards stakeholders
- Experience in implementing ISO, GDPR, ESG and AI Act
- Risk-oriented approach and operational practice
We ensure not only regulatory compliance, but also full operational readiness.
Legal Requirements - Regulatory Background
- EU AI Act: classification and responsibilities for AI systems, including documentation, testing, registries, and audits.
- GDPR: requirements for transparency, explainability and automated decisions.
- ESG/CSRD: the need to take into account the ethical dimension of AI as part of social responsibility and corporate governance.
Q&A – frequently asked questions about AI Governance
Definitely yes. Failure to prepare by the time the regulations come into force can result in non-compliance, loss of reputation and heavy penalties. Early implementation of AI Governance allows you to identify risks, develop documentation, and embed AI management into organizational structures.
The full implementation of AI Governance usually takes between 16 and 20 weeks, depending on the scale of the use of AI in the organization, data availability and process readiness. The process includes analysis of the current state, risk audit, policy development, implementation of procedures and training of teams. For companies that already have partial solutions (e.g. GDPR, risk management), it is possible to accelerate selected stages.
Yes – the full responsibility for legal compliance lies with the organization that uses the AI system, regardless of who designed it. This means that your company must evaluate the model provided, document its operation, and meet the requirements of the AI Act (e.g., classification, registration, audit).
No. AI Governance applies to all companies that use AI, regardless of industry. Examples are:
- Recruitment (AI in CV analysis)
- Customer scoring
- Risk analysis
- Chatbots
- Product recommendations
Even if you don't create your own algorithms, but only apply them – you are subject to regulations.
Yes. Any system that uses AI must be classified in terms of risk. High-risk models (e.g. affecting workers' rights, access to credit, education) are subject to specific obligations: testing, documentation, monitoring and registration.
Yes - the management and IT/Data supervisors are responsible for AI implementations. The lack of a supervisory framework may be considered a violation of corporate governance. AI should be an element of risk maps and an area covered by supervision in accordance with the compliance policy.
No. While the GDPR provides a good basis (e.g., explainability, data minimization), the AI Act imposes additional obligations:
- Recording AI models
- Documenting the training process
- Algorithmic risk assessment
- Ensuring human oversight
- Documenting errors and incidents
Yes - all systems using generative AI must be evaluated, classified and, in the case of commercial applications, properly labeled and controlled. This also applies to internal chatbots, automatic content creation or reports.
- Conduct a compliance audit and gap assessment
- Construct an AI governance policy
- Document models and processes
- Assign responsibility for AI in the structure of the organization
- Train responsible persons (management, IT, data, compliance)
Yes. The size of the company does not exempt from obligations. SME companies that implement turnkey AI solutions must ensure compliance with the AI Act, especially if they influence decisions towards customers or employees.
Yes. We offer independent compliance audit, gap assessment and recommendations. This is a good first step for companies that want to assess their level of readiness and plan their next steps.
Yes. We conduct dedicated strategic workshops and operational training. Topics include:
- Obligations under the AI Act and GDPR
- Explainability and auditability of models
- Risk mapping and planning for compliance activities
The training is conducted by lawyers, auditors and practitioners of AI technology.
