INTERNAL POLICY DEVELOPMENT

Under the EU Artificial Intelligence Act (Regulation 2024/1689), organizations that develop, deploy, or use AI systems are subject to strict compliance requirements—particularly when operating high-risk AI systems as defined in Annex III of the Regulation. These systems are used in sensitive areas such as healthcare, education, recruitment, public safety, and biometric identification, where the potential impact on fundamental rights is significant.

To meet these obligations, the Act mandates the implementation of internal governance frameworks that cover the full AI lifecycle—from design and training to deployment and post-market monitoring. These frameworks must support:

• Transparency – ensuring that system capabilities, limitations, and decision-making processes are well-documented and explainable.

• Accountability – assigning clear roles and responsibilities for AI oversight and compliance.

• Risk Management – identifying, evaluating, and mitigating potential harms, including bias, discrimination, or data misuse.

Our Internal Policy Development service provides the structured support needed to establish these governance mechanisms effectively. We work with your teams to:

• Draft and align internal policies with Articles 9 (risk management system), 10 (data governance), 17 (record-keeping), and 29 (human oversight) of the EU AI Act.

• Embed ethical and legal safeguards into your organizational processes and culture.

• Prepare your AI systems for conformity assessments and future audits by national market surveillance authorities.

• Strengthen internal awareness through training modules and policy communication strategies.

By developing comprehensive internal AI policies, your organization demonstrates proactive compliance, builds trust with regulators and users, and lays the foundation for responsible AI innovation in the EU market.

Effective internal policies are essential for:

• Demonstrating accountability and compliance to authorities and partners

• Managing risks linked to bias, data misuse, or opaque decision-making

• Enabling a structured, repeatable approach to AI lifecycle governance

• Facilitating conformity assessment for high-risk AI systems

• Preparing for audits by market surveillance authorities under the AI Act

 – Organizations developing or deploying high-risk AI systems, as defined in Annex III of the EU AI Act
– Companies entering regulated markets (healthcare, education, HR, public services)
– General-purpose AI providers seeking to implement voluntary codes or respond to Article 52 requirements
– SMEs and startups that need scalable, efficient governance models without compromising on compliance

• Custom AI governance frameworks aligned with Articles 9, 10, 17, and 29 of the EU AI Act.

• Policy templates and procedures for data management, risk mitigation, human oversight, and transparency obligations.

• Internal control systems to support documentation, auditability, and conformity assessments.

• Codes of conduct and ethical principles tailored to your industry, regulatory context, and AI use cases.

• Training modules and internal communication tools to promote awareness and consistent policy implementation across teams.