01
Operational Governance
Build AI governance frameworks your teams can operate and sustain independently.
AI Governance · EU AI Act · ISO/IEC 42001
Deploy AI SystemsYou Can Stand Behind.
Scale AI without compromising oversight.
Our Commitments
We design, implement and refine AI governance frameworks that support traceable decision-making, defensible deployment and durable performance across the AI system lifecycle.
02
Measurable Risk Control
Turn AI risks into measurable indicators that decision-makers can act on.
03
Audit Readiness
Create audit-ready documentation to support regulatory compliance.
Key figure
From 2023 to 2025, the share of S&P 500 companies disclosing AI as a risk increased from 12% to 83%.
The Conference Board, “Governing AI” report, April 2026.
Challenges
AI deployment is accelerating. Is governance keeping pace?
AI adoption often advances faster than governance maturity, leaving organisations exposed to regulatory, operational and reputational risk.
01
Deployment outpaces governance.
As AI systems move into production, governance, accountability and risk controls can become fragmented across the organisation.
We build coherent governance frameworks across the full AI system lifecycle, from design through to post-deployment monitoring.
02
Accountability breaks at the intersections.
Responsibilities often span IT, legal, compliance and risk functions, creating gaps in ownership and oversight where AI risks may go unmanaged.
We help define clear roles, responsibilities and escalation pathways to ensure consistent oversight of AI risks across functions.
03
Regulators require evidence, not intent.
Organisations are increasingly expected to demonstrate how AI risks are governed, documented and monitored throughout the lifecycle of their AI systems.
We implement AI management systems structured to evidence conformity with ISO/IEC 42001 and to support compliance with applicable regulatory requirements.
04
Governance fails when it slows operations.
Governance frameworks that are disconnected from operational realities often create friction without effectively reducing risk.
We tailor AI governance frameworks to your processes and culture, ensuring oversight sustains performance rather than constrains it.
Our Clients
We help organisations developing or deploying AI systems make defensible decisions, manage risk and build lasting trust.
Large Enterprises
Multinational organisations operating under complex regulatory requirements
- Financial services and insurance
- Healthcare and life sciences
- Industry and infrastructure
- Digital services
Start-ups & Scale-ups
Growing companies facing increasing expectations from investors and clients
- Raising capital
- Preparing for ISO/IEC 42001 certification
- Supplying large enterprises
Public Sector
Public entities subject to heightened institutional scrutiny
- Central governments and national agencies
- Regional and local authorities
- State-owned enterprises
Key figure
Fewer than 10% of executives say their companies are fully prepared to comply with AI regulations.
The Conference Board, “Governing AI” report, April 2026.
Our Services
Where AI systems are deployed without effective governance, risk compounds. Where risk compounds, trust erodes. We prevent both.
01
Design
AI Governance Frameworks
- Define clear roles, responsibilities and oversight mechanisms across the AI system lifecycle
- Structure decision-making processes, including approval and escalation pathways
- Embed applicable requirements into the AI governance framework, including those set out in the EU AI Act, NIS2 and relevant ISO standards
02
Implement
AI Management System
- Implement an AI management system aligned with ISO/IEC 42001
- Integrate the AI management system into existing governance, risk management and compliance frameworks
- Establish third-party risk management processes for AI systems
03
Control
AI Risk, Assurance & Audit
- Assess AI-related risks in accordance with ISO/IEC 23894 and applicable requirements under the EU AI Act
- Conduct Fundamental Rights and Data Protection Impact Assessments as required by the EU AI Act and GDPR
- Compile technical documentation for high-risk AI systems as required under the EU AI Act
- Perform internal audits of the AI management system against ISO/IEC 42001 requirements
04
Respond
AI Incidents & Investigations
- Activate incident response procedures for AI systems
- Coordinate with legal counsel on notifications required under the EU AI Act, GDPR, NIS2 and DORA
- Execute post-incident root-cause analysis to identify governance, oversight and operational control gaps and implement corrective actions
05
Sustain
AI Governance Performance
- Drive continual improvement within the AI management system in accordance with ISO/IEC 42001
- Monitor regulatory developments, standards updates and emerging AI risks and adapt the AI governance framework accordingly
- Assess AI governance maturity and prepare for ISO/IEC 42001 surveillance and recertification audits
Discuss
Contact Us
Share your AI governance priorities with us.
Schedule a consultation
Our Approach
AI governance is not a single deliverable; it is an organisational capability built for the long term.
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Senior-Led Delivery
Engagements are delivered by senior practitioners, ensuring expertise, consistency and continuity.
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Operational Integration
AI governance frameworks are designed to integrate with existing governance, risk management and compliance structures.
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Audit-Ready Outcomes
Each engagement delivers measurable outcomes supported by structured evidence and documentation.
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Sustainable Ownership
Your teams can operate AI governance frameworks independently, ensuring continuity beyond our engagement.
Get in touch
Can your AI governance withstand greater scrutiny?
Stakeholder expectations are rising.
Regulatory requirements are tightening.
Trust increasingly depends on effective AI governance.
Make AI governance a strategic asset.
Or reach us at contact@aetic.ai or +33 (0)7 44 47 21 49