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.
What human factors research already tells us about AI overreliance
What human factors research already tells us about AI overreliance When organisations talk about...
Why document evaluation is a better first AI use case than many teams expect
Why document evaluation is a better first AI use case than many teams expect When organisations...
How to run a safe first AI pilot in security, safety or resilience
How to run a safe first AI pilot in security, safety or resilience Many organisations are now...
Operational memory in practice: how teams stop useful knowledge being lost
Operational memory in practice: how teams stop useful knowledge being lost A lot of organisations...
What comes after the digital daily occurrence book?
What comes after the digital daily occurrence book? A digital daily occurrence book is often a big...
Generic AI vs operational AI: what is the difference in real work?
Generic AI vs operational AI: what is the difference in real work? A lot of people now understand...
"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
