§ Case studies
Work we've shipped.
We describe clients by segment, not by name — and only publish work that passes a prior-employer screening review. Filter by tier and topic.
§ Agentic systems · Enterprise
An agentic ops-triage copilot inside a UK retail bank.
Analyst-in-the-loop triage across three legacy ticketing systems — mean time to first response cut by more than half, without a single new ticketing surface.
§ LLM integration · Enterprise
Editorial-assist RAG for a global media company.
A retrieval-assisted drafting surface for a 300-strong editorial team — answers cited to the archive, hallucinations effectively eliminated on tested queries.
§ AI strategy · Enterprise
An AI opportunity portfolio for a European insurer.
A prioritised opportunity portfolio and an operating model to run it — grounded in what the business could actually build in the next three quarters.
§ Multi-modal AI · Founder & SMB
Contract-vision extraction for a UK legaltech scale-up.
A multi-modal pipeline that turns scanned contracts into structured records — accuracy high enough to skip the manual QA step on 82% of intake.
§ Bespoke build · Founder & SMB
AI-native MVP for a fintech founder team.
A working product in the market inside twelve weeks — three engineers, one designer, and a founder who could keep shipping after we left.
§ Multi-modal AI · Enterprise
A conversational virtual avatar for a public figure with a decades-deep media catalogue.
A retrieval-grounded conversational avatar of an internationally recognised author and broadcaster — voice, likeness, and a domain-specific RAG over their own books, columns, and interviews. Fans converse with the persona; the persona never invents facts outside the corpus.
§ Agentic systems · Enterprise
An agentic pipeline for the full software delivery lifecycle inside a large enterprise engineering organisation.
End-to-end agentic system operating across a 200-strong engineering organisation — from requirements clarification and architecture design through use-case and test-case authoring to progress monitoring and quality assurance. The humans stay in the accountable seats; the agents remove the friction between them.
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Tell us the segment and the problem shape. We'll point at the closest engagement we can talk about, screening permitting.