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AI Governance: A Guide to Compliance and Strategy in the Era of the AI Act
With the European Union’s approval of the AI Act, 2025 will mark a turning point for all organizations that develop, adopt, or use artificial intelligence systems. This is the EU’s first regulatory framework on AI, imposing strict obligations and clear prohibitions, with fines of up to €35 million or 7% of global turnover for non-compliance.
The AI Act classifies AI systems based on risk levels:
- Unacceptable
- High or systemic risk (in the case of General Purpose AI – GPAI)
- Limited
- Minimal
It sets differentiated requirements for transparency, human oversight, safety, traceability, and governance.
For companies, this means beginning to strategically assess the impact of AI, even if its adoption is not yet fully structured. It is crucial to consider not only scenarios where official, centralized AI tools are implemented but also the risks related to autonomous and uncontrolled use of freely available AI tools on the web by individual users.
Why a Structured AI Governance is Necessary
AI is increasingly used in decision-making processes, digital services, and as a driver for evolving business models. However, in many organizations, its adoption remains fragmented and unregulated.
The absence of internal guidelines exposes companies to tangible risks:
- Leakage of confidential data when using unauthorized, freely available AI tools online
- GDPR violations due to non-compliant automated processing
- Loss of intellectual property when strategic assets are input into public AI models
- Misalignment with the AI Act, leading to legal and financial consequences
To address these challenges, it is essential to define an AI Governance model that integrates regulatory compliance, risk management, and strategic vision.
Seven Pillars for Effective AI Governance
- Defining the AI ambition: Clarify whether the goal is to optimize processes, innovate products/services, or revolutionize the customer experience.
- Selecting strategic use cases: Start with low-risk, high-value cases, then scale to more complex projects.
- Creating a business-aligned roadmap: Plan initiatives according to priorities, resources, and success metrics.
- Assessing organizational maturity: Evaluate according to Gartner’s seven pillars (strategy, value, organization, culture, governance, engineering, data).
- Establishing formal AI governance: Include policies, roles, responsibilities, and ethical codes to ensure transparency and accountability.
- Developing an AI-aware culture: Promote technical and managerial training (AI literacy) for conscious and competent use of AI tools.
- Building robust data infrastructure and MLOps: Ensure accessibility, quality, traceability, and security of the data powering intelligent systems.
AI Governance: A Strategic Opportunity, Not Just a Regulatory Requirement
AI governance goes far beyond mere regulatory compliance: it means guiding technological development in an ethical, sustainable, and competitive way. In this context, the EU AI Act is not just a regulatory challenge but a tangible opportunity to build more reliable, transparent systems aligned with European values.
Dyna Brains, in collaboration with the law firm De Berti Jacchia Franchini Forlani, supports companies throughout this journey by combining technological, process, and legal expertise to ensure solid and responsible AI adoption.
Among the solutions offered, Dolphin AI stands out as a concrete example of AI governance compliant with the AI Act: a conversational AI agent, deployable on-premises or in a private cloud, designed to interact with the company’s knowledge base without compromising data security. All information and documents remain within the corporate environment, ensuring full control over intellectual property, privacy, and compliance.
Discover how Dolphin AI can transform your AI governance strategy, guaranteeing security, AI Act compliance, and supporting innovation.
Request a dedicated consultation with our compliance experts today to successfully navigate the challenges of the AI Act and build a responsible, competitive future.
