AI GOVERNANCE PROGRAM DESIGN
01 — SERVICEAI Governance Program
Our AI Governance Program Design service supports organizations in designing and operationalizing comprehensive AI governance frameworks in compliance with Regulation (EU) 2024/1689 – the Artificial Intelligence Act (EU AI Act).
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AI governance maturity assessment: Evaluation of existing policies, processes, and organizational capabilities against AI Act requirements (e.g., risk management, transparency, oversight of high-risk systems).
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Framework design: Development of strategic and operational governance structures, including accountability mechanisms, internal controls, AI lifecycle management, and required documentation under the AI Act.
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Compliance implementation: Design and integration of procedures to classify AI systems according to risk levels (minimal, transparency, high, and prohibited), maintain records, conduct fundamental rights impact assessments, and establish monitoring and audit mechanisms.
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Training and capacity building: Customized training programs for key stakeholders (executives, legal, technical, and ethics teams) on regulatory obligations and best practices in responsible AI deployment.
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Readiness for regulatory review: Advisory support in preparing technical documentation, conformity evaluations, and interactions with market surveillance and enforcement authorities.
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Minimize legal and compliance risks under the EU AI Act
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Foster trust through transparent and ethical AI governance
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Ensure alignment with related regulations such as the GDPR and sector-specific requirements
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Establish a competitive edge through safe, responsible, and future-proof AI practices
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Enable cross-border scalability by ensuring harmonized compliance across EU jurisdictions
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Enhance internal coordination and decision-making through structured AI oversight and accountability mechanisms
Developing and implementing AI governance programs aligned with the EU AI Act
Embrace the Automation Revolution
02 — INDUSTRYTailored for Your Industry
Classification of high-risk AI under credit scoring and fraud detection use cases
Alignment with supervisory expectations from EBA and ECB on trustworthy AI
Design of patient-centric governance models and oversight committees
AI transparency and clinical safety aligned with MDR/IVDR and ethical principles
Risk assessments for AI in law enforcement, surveillance, and citizen services
Compliance with transparency and non-discrimination obligations under EU law
Managing AI-driven assessment or recruitment tools under social scoring and bias rules
Conformance with emotion recognition prohibitions and fundamental rights impact
03 — CONTACTNeed AI governance help?
