AI Governance & Compliance Services
Supporting your organisation to meet AI regulatory obligations, embed ethical safeguards and manage compliance risk throughout the AI lifecycle.
Why organisations choose our governance and
compliance services
As AI regulation accelerates, we help organisations turn good practice and regulatory requirements into clear, practical governance programmes that support responsible innovation as AI systems evolve.
Compliance Made Practical
We translate EU AI Act, GDPR, NIS2 and related requirements into a clear, actionable AI governance framework, including risk management, transparency, fairness and accountability in practice.
Standards-Led Support
Our work aligns with recognised standards and industry good practices, including ISO/IEC 42001, ISO/IEC 42005 and the NIST AI Risk Management Framework, supporting credible, auditable, integrated compliance.
Risk-Based Delivery
We apply proportionate, risk-based approaches, including AI Risk Assessments, supporting responsible and compliant AI implementation as systems change and scale.
Governance and compliance support across the AI lifecycle
We support your organisation from initial AI scoping through to deployment, change management and ongoing regulatory oversight.
AI system identification, classification and scoping
Effective governance starts with understanding what AI systems you have or are planning to have, how they are being used, what data they are processing and which regulatory obligations might apply:
- Identifying and documenting AI systems, AI enabled features, data assets and use cases.
- Clarifying intended purpose, deployment context and affected stakeholders.
- Classifying systems under the EU AI Act and related regulatory frameworks.
- Determining applicable legal, operational and standards-based requirements.
Creating a clear, defensible foundation for compliance and risk management activity.
Regulatory readiness and gap analysis
Once your obligations are defined, we assess how your organisational readiness aligns with regulatory expectations:
- Mapping and assessing the risk profile of different AI tools in line with regulatory requirements.
- Mapping existing policies, processes and controls against established good practice and creating new ones as required.
- Identifying gaps across documentation, technical controls and oversight and creating roadmaps to improve compliance profile.
- Supporting business units as well as technical and legal staff to understand and meet governance requirements.
With this framework, organisations have a clear set of rules and expectations for AI development and deployment that enables them to implement AI confidently and at-scale across the organisation.
Implementation and operational compliance
Governance and compliance are only effective when embedded into your everyday workflows:
- Integrating both into AI development, procurement and deployment.
- Implementing required controls, documentation and ethical review processes.
- Enabling consistent application across cross-functional teams, suppliers and use cases.
- Supporting AI Risk Assessments, transparency and explainability measures, model documentation and fairness measures.
These actions will ensure effective governance and compliance obligations are integrated into your existing workflows and applied consistently across teams and business units.
Ongoing governance and compliance management
Your AI systems, data assets and internal skills profile will evolve, and your governance programme must evolve with them:
- Maintaining up-to-date AI system records, classifications and compliance documentation.
- Delivering compliance monitoring, audits and assurance activities for systems with different risk classifications.
- Supporting AI incident investigation and response, including providing guidance on liaising with regulators and other authorities.
- Maintaining and adapting the compliance programme to manage post-deployment changes to systems, data or intended use.
- Implementing independent assurance and reporting to regulators when required.
Focusing on sustained, defensible governance and compliance programmes — reducing risk exposure over time.
AI Governance Reports
Building AI literacy & workforce readiness
Data quality & AI foundations
Procurement & supply chain risk
Avoiding the biggest risks of AI regulation
With a structured AI governance framework, your organisation can leverage good practice and reduce regulatory and operational risk exposure.
Incorrect or incomplete classification leads to missing high-risk obligations or misapplied controls.Â
Clear scoping and classification ensure the right requirements are applied from the outset.
Gaps between teams, suppliers or use cases result in fragmented non-defensible records.Â
Joined-up compliance creates consistent documentation across systems, decisions and changes.
AI systems evolve, but controls and records are not updated as models, data or use changes.
Ongoing compliance management keeps classifications, controls and evidence aligned over time.
Organisations cannot evidence why particular controls were chosen, adapted or rejected.
Clear decision records and technical documentation provide defensible rationale when practices are questioned.
Uncertainty about regulatory expectations leads teams to pause, limit or abandon AI use.Â
Practical governance and compliance gives teams confidence to proceed responsibly.
Building governance that strengthens outcomes
Effective AI governance is not just about meeting requirements — it is about putting controls in place that remain reliable as your systems, use and regulation evolve.
Clear interpretation of requirements
Shared understanding of regulatory and ethical obligations.
Result
Faster, more confident decisions with fewer ambiguities.
Consistent application in practice
Aligned processes and documentation across teams and use cases.
Result
Reduced gaps, duplication and inconsistent application.
Traceable, review-ready evidence
Accessible records and artefacts of decisions, controls and changes.
Result
Clear evidence to support stakeholder and regulatory confidence.
Compliance that scales
with AI use
Practices that adapt as systems scale or evolve.
Result
Sustainable compliance without rework and risk.
Defensible decisions
Clear rationale for classifications, controls and trade-offs.
Result
Greater confidence in internal or external assurance.
Ready to build your own AI governance framework and strengthen your compliance profile? Get in touch to discuss how we can support your organisation’s AI compliance journey.
Frequently Asked Questions
AI compliance focuses on meeting specific legal, regulatory and standards-based requirements, such as classification, impact assessments and documentation. AI governance provides the broader organisational framework within which compliance operates.
We support compliance with the EU AI Act, GDPR, NIS2 and related national and sector-specific requirements, alongside recognised standards such as ISO/IEC 42001 and the NIST AI Risk Management Framework.
Yes. We support system classification, AI Risk Management, documentation and ongoing compliance for high-risk and other regulated AI systems.
Yes. We support organisations acting as deployers of third-party AI, including due diligence, documentation, oversight and post-deployment compliance management.
We help maintain up-to-date records, manage compliance as systems or data change, and support regulator engagement, audits and reporting when required.
Yes. Our services are supported by our compliance management tool, Trilateral GRC Suite Assurance, enabling teams to record AI systems, assessments and decisions in a consistent, auditable way.
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Get in touch
Ready to take the next step in ensuring your organisation can meet AI regulatory obligations? Get in touch to find out how we can help.