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.
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...
AI for incident triage: how to sort what matters first
AI for incident triage: how to sort what matters first One of the hardest parts of operations is...
AI for SOP search: how teams find the right procedure under pressure
AI for SOP search: How teams find the right procedure under pressure Most teams do not struggle...
How SIRV AI can support Martyn’s Law readiness
How SIRV AI can support Martyn’s Law readiness Martyn’s Law will require many venues, estates and...
AI for RAMS review: where it helps, where it does not, and how to start
AI for RAMS review: where it helps, where it does not, and how to start Risk assessment and method...
Why System 3 thinking needs an operational layer
Why System 3 thinking needs an operational layer When AI helps people find procedures, review...
"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
