Services
AI Governance
Artificial intelligence is transforming how organisations operate, but it also introduces new dimensions to privacy, fairness, and accountability. The regulatory landscape is evolving rapidly, and organisations that adopt AI without a governance framework risk both compliance failures and reputational harm.
What we do
AI risk assessments
We assess AI systems for privacy, bias, transparency, and safety risks. Our assessments are practical and prioritised, giving you clear actions rather than abstract findings.
Responsible AI frameworks
We help you build governance structures, policies, and processes that enable responsible AI adoption. This includes acceptable use policies, model governance, and human oversight mechanisms.
AI impact assessments
For high-risk AI systems, we conduct detailed impact assessments covering data protection, fairness, and fundamental rights, aligned with emerging regulatory expectations.
Regulatory readiness
The EU AI Act, proposed frameworks in other jurisdictions, and existing data protection laws all have implications for AI use. We help you understand and prepare for these requirements.
Training data and model governance
We advise on the privacy and intellectual property considerations around training data, model development, and AI system deployment.
Our perspective
AI governance is not about blocking innovation. It is about enabling it responsibly. Organisations that invest in governance early will be better positioned to scale AI adoption with confidence, win customer trust, and meet regulatory expectations as they emerge.
We take a risk-based approach. Not every AI use case carries the same level of risk, and your governance framework should reflect that. We help you identify where to focus your governance effort for maximum impact.
We support organisations working with AI governance requirements and reference points such as the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, and the Singapore Model AI Governance Framework where these are relevant to the use case, risk profile, and operating footprint.
Areas we cover
- Generative AI and large language models
- Automated decision-making systems
- Machine learning in product development
- Employee-facing AI tools and copilots
- Customer-facing AI features and chatbots
Exploring AI responsibly?
Talk to us about your AI plans and we will help you build a governance approach that enables innovation while managing risk.