AI in the NHS
How NHS Trusts Are Using AI to Reduce Referral Waiting Times
A look at where AI is genuinely reducing pressure on referral pathways — and what separates the deployments that work from those that stall.
Insights
Written by engineers.
Not consultants.
Practical thinking on production AI deployment — what works, what doesn't, and what it actually takes to ship AI systems into regulated environments.
Deployment
Why Most AI Pilots Never Reach Production (And How to Avoid It)
The gap between a promising demo and a live system is where most AI initiatives die. Here is what causes it and what forward deployed engineers do differently.
Deployment
How to Scope an AI Project So It Ships in 30 Days
Scope creep, unclear success criteria and the wrong problem statement are the top three reasons AI projects miss their delivery dates. Here is how to get it right upfront.
Deployment
Enforcing NIST Security Compliance with AI Inside a Major UK Electrical Utility
How an OntosLab Frontline Deployed AI Engineer — embedded directly inside a large energy operator to radically improve grid security.
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