Writing

Practical writing on AI for UK businesses.

No hype. What works, what doesn't, and how to get from idea to live system.

Editorial note

Not a blog about AI in the abstract. Every piece here is written by someone who ran the engagement: the diagnostic, the rollout, the build. Written for leadership teams trying to work out whether AI fits their business, and what to do about it if it does.

Written by the team at Appoly Intelligence, Leamington Spa. New pieces as we ship them.

Free resource

14 questions to ask before you commit to an AI project.

More writing

8 min strategy

Most UK businesses are adopting AI without a plan. Here's what that costs.

UK AI adoption is climbing fast, but most firms still have no written strategy. The verifiable data shows the gap between intent and structure is where budgets get burned.

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2 min diagnostic

What to expect from an AI diagnostic

Two weeks, fixed price, and an honest answer on whether AI is worth doing. Here's what actually happens.

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7 min legal

AI for legal teams: three deployments that work and three that don't

UK law firms waste budget on legal AI that can't be deployed safely. Here's what actually works: precedent retrieval, contract review assistance, and regulatory monitoring, with the constraints that decide whether each is safe to build.

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7 min automation

AI vs automation: which one your business actually needs

Most teams asking for AI need automation. The cost difference is an order of magnitude. Here's how to tell which is right for your problem, with examples from real engagements.

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7 min manufacturing

AI in UK manufacturing: where it works, what you need first

Four AI applications that are paying back for UK manufacturers in 2026 (predictive maintenance, defect detection, demand forecasting, throughput analysis), with the data and operational requirements that decide whether each is viable.

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8 min adoption

AI adoption in 2026: where to start when you don't know where to start

Most UK businesses know AI matters. Few know what to do about it. Here's a practical starting point based on what we're seeing in the field.

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2 min adoption

Common mistakes in AI adoption

Five patterns that derail AI adoption, drawn from pilots and rollouts we've actually run.

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Reading is one thing. Doing is another.

If something here resonates with what you're trying to work out, twenty minutes on the phone is the cheapest way to find out whether it's worth doing.

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