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It usually starts something like this.

Here are some common situations, and how we can help.

A spreadsheet is now business-critical.

It started as somebody’s own tool. Now it is fourteen tabs and three people who do not dare touch the formulas.

We start by

Finding out what the spreadsheet actually does and what is really needed.

The result

A system that does the same thing, but is easier to understand, use and build on.

The system is no longer in one person’s head.

Manual work, every week.

Everyone knows it ought to be possible to automate, but the sums have never added up.

We start by

Working out what the task costs you in practice. Then we take the part that pays back first.

The result

Less manual work, and often fewer mistakes.

The old system works, but it holds you back.

It does its job, but nobody dares touch it. The person who built it left several years ago.

We start by

Finding out what it does and capturing today’s behaviour in tests. Then we improve it in steps that can be undone.

The result

A system that can be developed again, not a rebuild that stops the business.

Can we get something out of AI?

A reasonable instinct. Most AI projects start with the technology and then look for a problem that fits it.

We start by

The business, not the technology. Sometimes the answer is an AI feature, often ordinary software that has only now become cheap enough to build.

The result

An honest answer about where AI can do the work for you. Or when it cannot yet.

Talked about for years, still not built.

The thought comes up at every planning day but has never been prioritised.

We start by

Building the smallest version that can actually be used. Not a presentation, but something you can click through and reason about.

The result

Something to show a real user within weeks, and a basis for the next decision.

Something real to take a decision on.

Do you recognise yourselves in any of this?

Tell us.

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