AI Governance & Risk Management

From simple workflow tools to tailored research on novel uses of AI

Overview

Whether you're just starting to implement AI solutions or looking to refine your governance framework, our approach is tailored to your organisation's unique requirements.

Algorithmic governance for all organisations

Like much of the risk and compliance market, we're looking at what can meet client demand, what provides responsible product growth opportunities, and what best supports organisations and the public at this early stage of AI adoption.

Client-focused solutions
Responsible growth
Public benefit

Our Services

AI policies

Customised to your business

Manage AI use in your organisation by developing a supportive internal AI policy, taking into account your risk appetite, existing employee workflows as well as the security and data protection standards of your current tooling.

  • Tailored to your risk appetite
  • Compatible with existing workflows
  • Aligns with security standards

AI and algorithmic risk assessment

Scholarship-led approach

Scholarship-led, research enhanced AI and algorithm impact assessments, identifying risks and providing actionable recommendations for mitigating those risks.

POA
  • Algorithm impact assessment
  • Risk identification
  • Actionable recommendations

AI Governance frameworks

ISO 42001:2023 implementation

AI and product safety benchmarking to emerging frameworks (e.g. EU AI Act), alongside implementation and support for new or existing management frameworks (e.g. ISO 42001:2023).

  • EU AI Act compliance
  • ISO 42001:2023 implementation
  • Ongoing framework support

Dark pattern assessments

User-focused evaluations

Evaluations of user interfaces and system functionalities to identify and rectify dark patterns and deceptive outcomes, ensuring ethical and transparent user experiences.

  • UI/UX analysis
  • Deceptive pattern identification
  • Remediation recommendations

UK and EU regulatory change and tailored reporting

Stay ahead of regulations

Analysis and practical guidance on how regulatory changes may impact your AI projects, along with strategies for maintaining compliance and staying ahead of emerging guidance.

  • Regulatory impact analysis
  • Compliance strategies
  • Proactive guidance

AI Governance Standards

We stay current with the latest AI governance frameworks and standards to provide you with the most comprehensive guidance.

ISO 42001:2023

Artificial intelligence management system standard that provides guidelines for implementing AI governance.

EU AI Act

European regulatory framework for artificial intelligence systems based on risk categories.

UK AI White Paper

The UK's proposed approach to regulating AI with an emphasis on safety, security, and innovation.

Why AI Governance?

Implementing robust AI governance is becoming essential for organisations deploying AI systems, whether to meet regulatory requirements or to build trust with customers.

As AI technologies become more prevalent across industries, the need for responsible implementation and governance has grown significantly. With the introduction of frameworks like ISO 42001:2023 and the EU AI Act, organisations must adapt to new compliance requirements while maximising the benefits of AI.

Effective AI governance not only mitigates risks but provides a competitive advantage by enhancing transparency, reducing bias, and building stakeholder trust. Our tailored approach helps you navigate this complex landscape, ensuring your AI initiatives are both innovative and responsibly managed.