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What human factors research already tells us about AI overreliance When organisations talk about AI risk, they often focus on the technology itself. They ask whether the model is accurate enough, whether it hallucinates, whether it is secure, or whether it can be...

Why document evaluation is a better first AI use case than many teams expect When organisations first consider AI, they often imagine the most visible or ambitious possibilities. For example, live incident support, control room decision-making, autonomous agents or...

How to run a safe first AI pilot in security, safety or resilience Many organisations are now interested in AI, but far fewer are clear on how to start well. That is especially true in security, safety and resilience. These are not environments where it is sensible to...

Operational memory in practice: how teams stop useful knowledge being lost A lot of organisations already have the expertise they need. The problem is that it often sits in the wrong place. It stays with one experienced manager, one site team, one long-serving...

What comes after the digital daily occurrence book? A digital daily occurrence book is often a big improvement on paper. It makes records easier to access, easier to search and easier to report from. It gives teams a clearer operational record and usually improves...

Generic AI vs operational AI: what is the difference in real work? A lot of people now understand what generic AI looks like. You open a blank box, type a question, and get an answer back. That can be useful. But it is not the same as operational AI.What generic AI...

AI for incident triage: how to sort what matters first One of the hardest parts of operations is not always the response. Often it is deciding what deserves attention first. That is what makes triage such a practical AI workflow.The real triage problem In many teams,...

AI for SOP search: How teams find the right procedure under pressure Most teams do not struggle because procedures do not exist. They struggle because finding the right one, quickly and with confidence, is harder than it sounds.In calm conditions, that can be...

How SIRV AI can support Martyn’s Law readiness Martyn’s Law will require many venues, estates and public-facing organisations to do more than hold a policy. They will need workable procedures, better review processes, clearer records and more consistent operational...

AI for RAMS review: where it helps, where it does not, and how to start Risk assessment and method statement (RAMS) review is one of those tasks that almost everyone recognises and very few people enjoy. It is repetitive, time-consuming and important. Teams have to...

Why System 3 thinking needs an operational layer When AI helps people find procedures, review documents or summarise live information, it is no longer just a background tool. It starts to influence how decisions are made. That creates value, but it also creates a risk...

Why operational memory matters: helping teams reuse expert judgement across sites Many organisations have experienced people who spot things others miss. They may work in safety, security, compliance or operations. Over time, they build up practical judgement that is...

Balancing responsiveness and reliability in high-risk operations A practitioner white paper on “liquid innovation” and how AI agents can deliver speed without sacrificing auditability.Product Cal - AI Agent Maps & Visualisations Internal reports Integrations...

The checkbox trap: Why CCTV is a warning for enterprise AI Reflections from a guest lecture on the University of Portsmouth MSc Risk programme. I recently gave a guest lecture on the University of Portsmouth’s MSc Risk, Crisis and Resilience Managementprogramme....

The Grenfell Inquiry exposed deep failures in how information about building safety risks was recorded, shared and used. This article explores the AI use case: “Living memory”.