Featured · Industry Insights future of AI models: 5 shifts everyone should watch
future of AI models explained in plain English, with 5 practical shifts for writing, research, coding, creativity and AI agents.
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What we're
learning,
in public.
We build AI systems for UK businesses every week. These are the field notes. What actually works, what doesn't, what we'd tell ourselves before starting. No gated whitepapers. No "top ten tools of 2026" filler.
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Featured · Industry Insights 
AI Automation ai automation for small business uk: 6 smart first moves
Use ai automation for small business uk wisely in 2026, with six practical first moves that save time without adding complexity.
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AI Strategy AGI race: 7 ways Big Tech is building intelligence
AGI race: why the battle for compute, data centres and trust could shape the next intelligence layer for everyday work.
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AI Strategy AI agents for UK businesses: 7 Readiness Checks
AI agents for UK businesses can lift productivity, but only if data, permissions, integrations and governance are ready first.
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AI Strategy SpaceX Anthropic compute deal: 5 AI Infrastructure Lessons
SpaceX Anthropic compute deal analysis: 5 lessons on GPUs, data centres and AI strategy for UK business leaders.
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Tools & Comparisons AI knowledge base: 5 tests before choosing a model
AI knowledge base decisions need more than a demo. Use these 5 tests to judge policy summaries, SOP drafts and staff answers.
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AI Strategy cloud strategy: 5 Ways AI Capacity Changes UK Planning
cloud strategy now needs AI capacity planning, supplier resilience and multi-provider options. Here are 5 practical steps for UK firms.
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Tools & Comparisons hybrid IT vs Cloud Migration: 5 Tests for UK Firms
Use this hybrid IT decision guide to weigh cost, control, compliance and resilience before committing to full cloud migration.
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Industry Insights Ransomware protection: 7 quick wins for UK businesses
Ransomware protection improves fast with patching, MFA, email filtering and tested backups, without replacing your whole IT stack.
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Industry Insights managed IT support London: 7 Cyber Checks to Prove
Use this managed IT support London checklist to check access, backups, phishing, reporting and provider evidence before you sign.
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Industry Insights Windows 10 support: 7 steps UK businesses should take now
Windows 10 support has ended. Use these 7 steps to audit devices, cut risk and plan upgrades across your business.
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Industry Insights zero trust security: 6 controls UK SMEs should fix first
zero trust security for UK SMEs starts with MFA, device health, least privilege and identity based access, not enterprise sprawl.
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Industry Insights AI automation for UK accountants: what actually works (and what's vapour)
Eighteen months of shipping AI into UK accounting practices. The three automations that paid for themselves in weeks, and the two that we eventually tore out.
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AI Automation Why we host our own n8n (and when you shouldn't)
Running your own n8n stack is a commitment. Here's the honest trade: what we got by moving off the SaaS, and what it costs us every month to keep it alive.
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Case Studies The invoice triage build: four hours a week back in twenty days
A UK professional services firm was paying someone to open invoice emails and file them by hand. Here's exactly how we replaced it, what it cost, and what we'd do differently.
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Tools & Comparisons Claude vs GPT-4 for UK business automations: six months in
We run automations on both. Here's where each one actually wins in production, where they're a coin-flip, and why we default to Claude for anything touching classification.
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Industry Insights AI for UK property management: where the wins are hiding
Property management is a document-heavy, deadline-heavy, communication-heavy business. Three places AI pays for itself, and one we'd leave alone for now.
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AI Strategy Three kinds of AI projects we turn down (and why)
We say no to more discovery calls than we say yes to. Here are the three patterns that make us pass, even when the budget is there.
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AI Automation The RAG mistake everyone makes in 2026
Most RAG systems we audit are technically correct and practically useless. The fix isn't a better vector DB — it's the evaluation loop everyone skips.
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