The National Audit Office (NAO) has published new guidance to help organisations plan, deploy and scale AI safely and effectively. It highlights that success depends as much on governance, data and skills as on the technology itself.
Read the full guide: https://www.nao.org.uk/insights/good-practice-guide-for-organisations-using-ai/
Key messages
AI is now mainstream
Used widely across operations – from customer service to fraud detection – AI is moving beyond pilots into core services.
Governance is critical
Organisations need clear accountability, board oversight and integration into risk management processes.
Data quality drives outcomes
Poor or biased data leads to unreliable results—strong data foundations are essential.
Risk must be actively managed
AI introduces new risks (e.g. bias, lack of transparency, model drift) requiring ongoing monitoring and assurance.
Skills gaps remain a barrier
Effective use of AI requires a mix of technical, operational and ethical expertise.
What good practice looks like
- Clear strategy: AI aligned to business priorities with defined outcomes
- Strong oversight: Named accountability and audit scrutiny
- Robust data: High-quality, well-governed datasets
- Active risk management: Testing, validation and monitoring in place
- Scalable delivery: Moving beyond pilots to sustainable use
Questions for leaders
- What problem is this AI solving—and how do we measure success?
- Is the underlying data reliable and appropriate?
- What are the key risks and who owns them?
- How will performance and impacts be monitored over time?
Organisations that treat AI as a strategic capability—not just a tool—are best placed to realise value while managing risk.