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On discovery, back offices, and where AI actually helps.

We don’t publish often; only when there’s something concrete to say. What’s here tends to cluster around a few threads: finding out what to build before anyone writes code, putting AI inside real workflows (inboxes, order desks, quotes), connecting the systems you already pay for, and the build-or-buy calls operators face every month. Written for people who run the work, not for developers chasing trends.

Showing 1–3 of 3 in modernisation

A business owner at her desk with two browser windows: a polished AI-generated app prototype on one screen, and her actual Xero and email on the other, pen in hand making notes.

You vibe-coded a prototype. Now it has to work on a Tuesday morning.

What happens when the thing you built on an AI coding site needs to plug into Xero, survive real users, and not fall over in March. How to decide whether to fix, integrate, or rebuild, without throwing away what you learned.

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A developer at her desk with an AI coding assistant open beside her IDE, terminal showing a green test run, while a Slack notification about a fixed bug sits on a second monitor.

Agentic development is making code cheap. That's changing everything.

AI hasn't just sped up typing — it's changed what software costs to change. With the right guardrails, code is becoming almost disposable, and business owners are building their own tools on platforms like Lovable. Here's what that means if you run the work, not the repo.

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A small business owner at her desk reading a letter about rising employer costs, while through an open door her operations team works efficiently at screens in a busy warehouse office.

The government's bill keeps rising. Your overheads don't have to.

Employers' NI is the latest in a run of costs landing on UK small businesses. You can't control Westminster — but you can modernise how the work gets done, cut repetitive overhead, and build AI-enabled tools at a fraction of what bespoke software used to cost.

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