Action
We build custom applications and AI on top of the data you have already put in order. The repetitive work runs on its own, and the person stays where it matters: approving and deciding.
Still done by hand
Conflicting versions, “someone else has the file open”, overwritten rows. An hour a week goes into establishing which copy is the real one.
Ctrl+F through ten thousand rows, filters lost, and the same manual reshaping again next month for the same report.
Someone opens the documents one by one and retypes the fields into a table. The work is identical every time, which is exactly why a person should not be doing it.
Discovery notes get turned into a quote by hand, on every request. The structure is always the same; only the content changes.
What you get
Automate what comes next, with apps and agents that run on their own.
We turn spreadsheets that outgrew themselves into web apps with a real database, multi-user access and no expensive licenses.
The way into AI: we assess what is worth automating at your company, build the smallest version on your real data and integrate it into what you already use.
Assistants that carry a process end to end — draft quotes, pull data out of documents, handle repetitive requests. With a human in the loop: the agent proposes, you approve.
How we work
You see the thing working on your own data before there is anything large to commit to.
Duration:
You tell us which process repeats and who does it today. That produces the shortlist of candidates for automation.
We build the smallest working version on your real data and you use it. If it does not hold up, we stop there — you have not bought a project to find out.
Duration: 2–4 weeks for an app · 4–8 for an AI implementation
The app is built end to end and the existing data moves into it. For an AI implementation, this is where it connects to the systems you already run.
Duration: 1–2 hours of training, 30 days of support
Training for the team, then support while everyone settles in. Licensing and hosting are agreed together, based on what you need.
Everything runs on your infrastructure or on ours, whichever you prefer. With agents, human approval is required before anything is sent.
Evidence
One file, one active user at a time. It slows down as the volume grows, search is slow, and there is no history of changes.
Several people at once, without conflicts. Steady performance at any volume, instant search, a full change history and automatic backups.
The differences above describe what an application can do that a file cannot. They are not the measured outcome of any particular project.
Where this sits
Automation rests on the first two. An application built on unverified data automates the mistake precisely. That is why this stage comes last — not because it is optional.
Next step
Tell us which decision you want to make better. We’ll tell you whether we can help, and how, concretely.