Every problem is different. That's why we work in the way that fits your situation — with a fixed project price, on a time-and-materials basis, or as an on-site Excel resource.
After a thorough review of your requirements, you receive a no-obligation quote with a fixed project price and delivery date. Describe your requirements as clearly as possible so we can quote accurately; if we want to look at a file, we'll agree on a secure way to share it afterwards.
For larger projects, the exact scope is hard to determine in advance. In that case we work on a time-and-materials basis: you pay for time actually spent, with regular updates on progress and direction. A no-obligation conversation is the first step.
An efficient way of working for organisations with ongoing Excel questions: during one or more fixed half-day sessions per week, you have an Excel specialist on hand. Staff bring their questions, problems and example files; we analyse them, provide solutions and give practical guidance so they can continue independently. Step by step, this results in a professional, user-friendly and secure application while knowledge within your organisation grows as well.
We build with AI assistance. Not because it sounds fast, but because it works — as long as we stay in control of it. That's why we work with our own development standards and frameworks: fixed rules for generation, build, validation and deployment to separate acceptance and production environments. AI writes alongside us, our standard guards the structure and the tests, and one of us signs off on the release.
Which tools we use depends on the problem. Excel and VBA, Google Sheets, SharePoint, PHP — the tool changes from project to project; the approach doesn't.
And one thing doesn't change because of AI: we always work within the client's constraints. Where you prescribe your own systems, tooling or approvals, we develop within them.
More about AI-assisted development →Anyone with basic knowledge can use Excel; structuring and building robust Excel applications is a separate discipline. Spotting and flagging that distinction is part of every approach above.
Briefly describe what you're dealing with, and we'll recommend the most suitable approach.