Artificial intelligence is moving fast. Privacy risks are moving faster.

Generative and agent-based AI create new ways to leak, combine, or infer personal data, often outside the visibility of traditional controls. Regulators are already demanding evidence, and boards want clear assurance.

For many organisations, this is the real blocker to AI adoption. Inputs can escape controls, vendor chains blur responsibilities, and proving compliance against frameworks like ISO/IEC 42005 or the NIST AI RMF is becoming harder. If these risks are overlooked, projects stall, costs rise, and trust is damaged.

That is why we created this AI Impact Assessment Playbook. It sets out the practical steps you need to make risks visible, collaborate effectively, and show accountability. Inside, you will find:

• How to scope and inventory AI systems
• Ways to assess impacts and align with ISO/IEC 42005 and NIST AI RMF
• Practical approaches for collaboration across teams
• How to generate structured risks and treatment plans
• Guidance on reporting clear, defensible evidence to boards and regulators

This is not theory. It is a clear, usable playbook that privacy, compliance, and security teams can put into practice straight away.

At Privacy Culture, we combine our Platform with services such as DSAR handling and incident response to help teams manage privacy with confidence. Whether you need software, support, or both, we make AI risks visible and manageable.

Fill in the form to download your free AI Impact Assessment Playbook today, and take the first step towards faster, safer, and more trusted AI adoption.