Insights on operational AI
Practical thinking on AI for safety, security and resilience, including operational workflows, governance, controlled deployment and lessons from real-world use.
Featured insights
Balancing responsiveness and reliability in AI
How AI agents can deliver speed without sacrificing auditability.
How SIRV AI can support Martyn’s Law readiness
See how SIRV AI can support Martyn’s Law readiness.
Why System 3 thinking needs an operational layer
AI has added a new way of thinking to System 1 and 2.
Why operational memory matters
How AI memory helps teams reuse expert judgement across sites.
The CCTV + artificial intelligence tickbox trap
Why the adoption of CCTV is a warning for enteprise AI.
From daily occurrence books to operational AI
A DOB records what happened. Operational AI makes it useful.
Post-incident review: how to turn security incidents into actions and lessons learned
Post-incident review: how to turn security incidents into actions and lessons learned An incident...
Soft Failure in AI: Why plausible answers can be risky
Soft failure: when AI makes progress feel real Generative AI has an unusual failure mode: it can...
Contractor RAMS review checklist: what to check before work starts
Contractor RAMS review checklist: what to check before work starts Reviewing contractor RAMS...
How finance teams should assess AI workflow tests
How finance teams should assess AI workflow tests 1. AI interest is not enough AI demos are easy...
My leadership team wants to ignore AI. How do I get them involved?
My leadership team wants to ignore AI. How do I get them involved? On 7 May 2026, I gave a guest...
What human factors research already tells us about AI overreliance
What human factors research already tells us about AI overreliance When organisations talk about...
"SIRV helped us move beyond basic reporting into a system that actively supports decision-making". Les O'Gorman, Director of Facilities, UCB - Pharma and Life Sciences
