Data & AI Governance

Data and AI governance is essential for us to stay ahead in a world where data drives business decisions. Without it, we risk dealing with unreliable data, falling foul of compliance, and building systems that miss the mark. By putting strong governance in place, we make sure our data is secure, accurate, and easy to access, and our AI systems are ethical, transparent, and accountable. In the long run, this lets us scale, innovate, and trust the insights that power our decisions. In an environment where data is one of our most valuable assets, governance is what turns information into real business results.

Building Trust and Value through Clear Oversight and Accountability.

Our Approach

Gate 1: AI Roles & Responsibilities
Defines clear roles for everyone involved in AI governance. It establishes accountability for managing risks, ensuring ethical oversight, and meeting compliance requirements. Key roles, such as AI Ethics Officers and Governance Committees, are set to oversee ethical impacts and make sure AI systems align with organisational goals and standards.
Gate 2: AI Landscape
Maps out the AI systems in use, their data sources, and how they integrate with business operations. This gate ensures there is a clear understanding of all AI systems and their dependencies to maintain control over risks and compliance across the organisation.
Gate 3: AI Definition
Creates comprehensive documentation for each AI system, detailing its purpose, data inputs, processes, and outputs. This step ensures consistency and transparency in how AI systems operate, avoiding prohibited practices and aligning with organisational objectives.
Gate 4: AI Quality
Focuses on maintaining high standards for AI models. It ensures models are accurate, fair, and reliable, and that they deliver unbiased results. This gate sets up continuous monitoring processes to check data quality and model performance against defined standards.
Gate 5: AI Risk & Controls
Identifies and categorises the risks associated with AI systems. Based on risk levels (high, limited, minimal), it implements controls to mitigate technical, ethical, and regulatory risks. This gate also addresses societal impacts and ensures compliance with regulations like the EU AI Act.
Gate 6: AI Monitoring
Establishes continuous monitoring of AI systems to track performance, compliance, and risks. It includes real-time alerts for high-risk systems and human oversight mechanisms to intervene if necessary, ensuring systems remain safe, ethical, and effective.
Gate 7: AI Improvement
Focuses on continuously enhancing AI models based on performance data, business needs, and feedback. This gate ensures that AI systems are regularly updated to remain aligned with both technical and ethical standards, improving over time.
Gate 8: AI Communication
Promotes transparent communication across the organisation about AI governance, including risks, performance, and changes. It ensures that all stakeholders are informed and engaged, supporting trust and continuous feedback to improve AI governance practices.

Our Engagement Process

Our engagement process is designed to be simple and collaborative, ensuring we understand your needs and work closely with you to achieve the right outcomes. From the initial inquiry to the project kickoff, we focus on clarity, alignment, and delivering a solution tailored to your business goals.

Other services we offer

Data & AI Strategy

Helping businesses figure out the best way to use data and AI to solve real business problems and grow successfully.

Data & AI Operating Models

The Operating Model is how you make your strategy real to create value and deliver your company’s goals and objectives.

Data & AI Implementation

Helping businesses put their data and AI plans into action, turning use cases into real solutions that work.