The underlying principles of an AI governance framework are designed to ensure that AI systems are developed, deployed, and managed responsibly, ethically, and transparently.
Our solutions are underpinned by AI governance principles.
As such, our clients benefit by:
We utilise frameworks and standards such as ISO 42001 and NIST to help you comply with evolving regulations and standards, such as The GDPR and The EU AI Act.
We conduct Iterative and prioritised risk assessments throughout the lifecycle of your inhouse and third-party AI systems.
We assess third-party AI vendors for compliance with governance and ethical standards, ensuring that external solutions align with the company's values and regulations.
We conduct AI tool and LLM security risk assessments, infrastructure security configuration reviews and security testing.
We can do the heavy lifting with personal data mapping, privacy risk assessments, and DPIAs, as well as advising on how best to communicate your AI solution in your privacy policies.
We work alongside you to conduct ongoing evaluation of your AI systems to ensure efficiency, ethics and compliance standards.
We create protocols for handling incidents related to AI misuse, errors, or breaches, including a clear response plan to minimize damage and manage communications.
We can conduct workshops, training sessions, and provide resources to educate employees on responsible AI practices, governance frameworks, and ethical considerations.
We can assist with the creation of AI usage policies, ethical guidelines, and documentation to establish a formal governance framework aligned with business and legal standards.
We offer consultancy based on best practices to make AI models more interpretable and explainable, ensuring users and stakeholders can understand AI-driven decisions.