(EU and UK markets)
Build a practical foundation for responsible AI
AI is becoming part of everyday business operations, from generative AI and automation to analytics, customer service and decision support.
But as adoption grows, so do the risks around privacy, security, accountability, bias and regulatory compliance.
The brenDIGITAL AI Governance Guidelines & Framework provides organisations with a structured starting point for managing AI responsibly.
The framework includes guidance covering regulatory and governance considerations such as the EU AI Act, GDPR / UK GDPR, equality legislation, sector-specific regulation and ISO/IEC 42001.
It is designed to help organisations establish the internal governance structures and controls needed to manage AI risk, not simply respond to regulation after problems occur.
This free downloadable framework sets out practical principles, responsibilities, processes and controls designed to help organisations develop, deploy and use AI in a more ethical, safe and accountable way.
Download the framework free and use it as the foundation for your organisation’s AI governance programme.
The framework covers the key areas organisations should consider when establishing AI governance, including:
- Responsible AI principles – including transparency, fairness, accountability, privacy, security and human oversight.
- AI governance roles and responsibilities – helping establish clear ownership and accountability for AI systems.
- AI risk classification – a structured approach for categorising AI systems according to their potential risk and required controls.
- AI risk assessment processes – covering privacy, security, bias, approvals and ongoing monitoring.
- Data governance for AI – including data quality, data minimisation, lineage, retention and third-party datasets.
- Transparency and explainability – guidance on disclosure requirements, model documentation and explainability.
- Human oversight and control – including human-in-the-loop requirements, appeal mechanisms and emergency shutdown procedures.
- Bias, fairness and inclusion – practical principles for identifying and mitigating potentially discriminatory AI outcomes.
- AI security and privacy – covering AI-specific threats, access controls, generative AI risks and privacy by design.
- Regulatory alignment – including consideration of the EU AI Act, GDPR and ISO/IEC 42001.
- AI incident management – guidance for detecting, containing, assessing and responding to AI-related incidents.
- Audit and continuous improvement – helping organisations establish ongoing monitoring, training and review programmes.
The guide is designed for organisations that are already using AI or are beginning to introduce tools such as ChatGPT, Microsoft Copilot, AI-powered software, automated decision-making, machine learning or other generative AI technologies.
It can be particularly useful for business owners, senior leaders, IT teams, privacy and compliance professionals, risk managers, HR teams, marketing teams and anyone responsible for introducing AI into an organisation.
The framework is intended to provide a structure that can be adapted to the size, risk profile, industry and regulatory obligations of your organisation.
Simply fill in the form below and receive your free copy.
Need help implementing AI governance?
Downloading a policy is the first step. Putting it into practice is where effective AI governance begins.
brenDIGITAL can help your organisation develop and implement a practical AI governance programme, including AI policies, AI inventories, risk assessments, governance structures, privacy controls, staff guidance and responsible AI processes.
Need help adapting this framework to your organisation?
Talk to brenDIGITAL today