AI Governance & ISO 42001 Readiness
Helping organisations adopt AI with clearer risks, controls and accountability.
AI tools can improve productivity and decision-making, but they also introduce new risks around data protection, accuracy, accountability, transparency and staff use. North Star Data Insights helps organisations take a practical, controlled approach to AI governance.
Why it matters
AI governance helps organisations use AI safely, responsibly and with confidence.
The goal is not to stop innovation. The goal is to make sure AI is used in a way that is appropriate, controlled, explainable and aligned with your organisation’s responsibilities.
Understand AI use
Identify where AI tools are being used, what data is involved and what decisions or outputs they may influence.
Manage risk
Review risks around accuracy, bias, privacy, security, accountability and inappropriate use.
Create clear controls
Develop practical policies, procedures, registers and evidence to support safer AI adoption.
Support available
Practical AI governance and ISO 42001 readiness support.
AI Governance Gap Analysis
Review your current position against expected governance areas including policies, roles, risks, controls and evidence.
AI Use Case Register
Create a clear record of where AI is being used, why it is being used, what data is involved and who is responsible.
AI Risk and Control Review
Identify key AI-related risks and define practical controls to reduce exposure and improve oversight.
Policy and Procedure Support
Develop clear AI usage guidance, staff expectations, governance processes and approval routes.
ISO 42001 Readiness
Support preparation for an AI management system by reviewing documentation, responsibilities, controls and audit evidence.
Internal Audit Preparation
Help review whether your AI governance approach is documented, controlled and ready for internal or external review.
Ready to review your AI position?
Start with a practical AI governance readiness conversation.
We can help identify where you are now, what risks need attention and what practical steps would strengthen your AI governance approach.
Book an AI readiness review