G R C . I E

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AI Governance & Data (AI Act, GDPR, Data Act)

Artificial Intelligence (AI) is reshaping how organisations innovate, compete, and deliver value. But with its rapid adoption come new risks: bias, opacity, accountability gaps, and security concerns. To address these, the EU has introduced the AI Act – the world’s first comprehensive AI regulation.

The AI Act applies a risk-based framework, placing stricter obligations on high-risk AI systems (such as those used in healthcare, financial services, and critical infrastructure). At the same time, organisations must continue to comply with related frameworks such as GDPR and the EU Data Act, ensuring responsible use of data alongside AI adoption.

For organisations, this means building AI systems that are not only innovative but also trustworthy, transparent, and compliant. The regulatory landscape requires structured governance, robust risk assessments, and ongoing oversight of AI systems.

Scope & Obligations

1) Prohibited AI practices (e.g., social scoring, manipulative techniques).
2) High-risk AI systems require risk management, documentation, human oversight, and monitoring.
3) Transparency obligations for AI that interacts with humans or generates content.
4) Conformity assessments and CE marking for certain AI applications.

1) Ensures personal data used in AI systems is lawfully collected, processed, and protected.
2) Requires data minimisation, consent, and transparency.
3) Mandates Data Protection Impact Assessments (DPIAs) for high-risk processing.

1) Governs access, sharing, and portability of data.
2) Seeks to prevent data monopolies and ensure fairness in data use.
3) Impacts how organisations manage datasets that feed AI models.

Our Services

  • Review AI systems and data practices against AI Act, GDPR, and Data Act.
  • Identify risk classification of AI systems (prohibited, high-risk, limited-risk, minimal-risk).
  • Assess current governance structures and documentation readiness.
  • Establish AI governance boards and policies.
  • Design risk management processes for AI lifecycle oversight.
  • Create transparency frameworks, including explainability and human oversight mechanisms.
  • Align AI and data governance with GDPR and Data Act obligations.
  • Support conformity assessments for high-risk AI systems.
  • Develop documentation and reporting structures for regulators.
  • Train teams in ethical AI principles and compliance requirements.
  • Introduce monitoring tools for bias, transparency, and accountability.
  • Regular audits of AI systems to ensure ongoing compliance.
  • Advisory on evolving EU guidance and sector-specific rules.
  • Integration of AI governance into wider GRC and ESG frameworks.
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Implementation Best Practices

Maintain an AI inventory – keep a full register of all AI systems in use, with risk classification.
Embed human oversight – ensure critical AI decisions always involve accountable human review.
Integrate AI and data governance – treat AI, data privacy, and cybersecurity as interdependent.
Adopt transparency by design – make AI outputs explainable and traceable.
Monitor continuously – AI risks evolve with data and context, requiring ongoing governance.

Why GRC.ie

AI regulation is complex and rapidly evolving. At GRC.ie, we bridge the gap between innovation and compliance:

With GRC.ie, you can embrace AI confidently – knowing your systems are not only compliant, but also responsible, transparent, and trusted.