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Notes from production
Writing from the team on AI agents, data platforms, and what it actually takes to run AI systems in production. Long-form, with the working shown.
Data Hatch
Data Hatch
Writing from the team on AI agents, data platforms, and what it actually takes to run AI systems in production. Long-form, with the working shown.
A fair map of visual specialists, fraud suites, AI-native platforms, document layers and core systems — with buying criteria and where Claim It Quick fits.
Read the guide ↗The Duty already governs AI in retail claims. How the four outcomes map onto claims journeys, where AI helps or harms customers, and the evidence boards need.
Read the guide ↗The Act reaches some UK insurers, not all, and the high-risk deadline is now 2 December 2027. Who is in scope, what the Digital Omnibus changed, which insurance AI is likely high-risk, and a checklist to work through.
Read the guide ↗Processing, handling and adjudication are three different jobs, and most claims automation only does the first. What straight-through processing really means, what UK rules allow, and how to judge AI claims management software.
Read the explainer ↗One doctor in a hundred carries a third of the claims, yet every application waits in the same queue. How a triage engine routes each case, modelled on a book of 20,000 doctors.
Read the analysis ↗Why AI bills rise while model prices fall, and how four controls plus a shared data foundation hold a two-year cost envelope. A modelled analysis.
Read the analysis ↗Context layer, shared components and human oversight for agents in production. Four sector editions, emailed after a short form.
Get the whitepaper ↗