Resources
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Organisations have an AI strategy – but do they have AI governance?
Many organisations have an AI strategy. The next step is AI governance. Learn why management, accountability and control become essential when AI is deployed.
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Who is responsible for AI in the organisation?
Who is responsible for AI in the organisation? Learn why AI cannot be owned by IT alone, and how other organisations structure accountability.
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What is document management?
What is document management, and why does it matter? Learn the key requirements and how to keep documentation accurate and up to date.
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7 AI-specific controls in ISO 42001 that distinguish it from ISO 27001
ISO 42001 builds on many of the same principles as ISO 27001, but also introduces new controls for AI governance.
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eHandbook for document control in the healthcare sector
The eHandbook in Certain QMS gives the healthcare sector full control over documents, procedures, and revisions.
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EU AI Act readiness: the first step towards compliance with the AI Act
What is AI Act readiness? Learn how organisations can map their AI portfolio, assess regulatory risk and prepare for the AI Act.
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Quality management with a central framework and local adaptations
Quality management with central framework and adaptations. Certain QMS makes it simple to share structures, documents and working methods.
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Hallucinations, bias and black boxes: the AI risks leaders need to understand
What are the biggest AI risks? Learn about hallucinations, bias, lack of explainability and other challenges associated with AI.
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Quality management in the power and energy sector
Why does quality management fail in the power and energy sector? Learn how structure and Certain QMS enable better operations and compliance.
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AI policy and clear frameworks for AI use in the organisation
A practical introduction for leaders: learn what an AI policy is, why organisations need one, and which topics it should cover.
