AI Governance in the NHS
by Amber Williams
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by Amber Williams
The NHS is deploying AI at a pace that reflects genuine ambition. Governing it safely is one of the hardest challenges cyber and digital leaders are currently navigating, and most are doing it without a clear picture of where their peers stand.
We commissioned this research to give them one.
100 senior NHS cyber and digital leaders, CISOs, CIOs, and CDIOs from across Trusts, ICBs, NHS England, and the MHRA, shared an honest assessment of where their organisations currently stand on AI governance.
The findings cover visibility, board engagement, maturity, incident detection, clinical accountability, and where budget is going.
The data is self-reported and we present it as such. What it offers is a genuine peer benchmark, and in places, a candid picture of where the work still needs to happen.

41% have full visibility of shadow AI, 54% mostly visible. 21% also flag visibility as the top current challenge
58% cite lack of board mandate as their top barrier
89% rate maturity as either high or medium
Only 38% said they would definitely know within 24 hours if an AI tool caused a patient safety incident
No dominant answer across the sector at where accountability sits
43% are very prepared, 51% getting prepared. Only 6% just starting the journey

Frame AI risk in the language the board already uses: patient safety, regulatory exposure, and reputational risk.

59% would only probably detect an AI-linked patient safety incident. A tabletop exercise is a
practical starting point.

Existing processes were not built for model behaviour, data provenance, or clinical safety. Add AI-specific assurance steps rather than replacing what works.
See how your organisation compares against 100 NHS cyber and digital leaders on AI governance, visibility, board engagement, and clinical accountability.