An operations team
- Today
- Staff copy details from emailed PDFs into a spreadsheet by hand.
- With AI
- The app extracts the fields, flags anything uncertain and puts the rest straight into the system for review.
Web applications where AI does a defined job inside a real workflow: reading documents, drafting replies, searching your data, or guiding a user through a task. The rest is solid, ordinary software.
Many teams have tried an AI demo that impressed in a meeting and then stalled. The hard part is not the model; it is the product around it: permissions, data, edge cases, review steps and a clear way to measure whether it helps.
We build the whole application, so the AI part sits inside software that people can actually rely on.
Authentication, roles, data storage and a clean interface, built to production standards.
Each feature has a defined input, output and fallback, plus a human review step where it matters.
A set of test cases from your real data, so changes to prompts or models can be checked before they ship.
Architecture notes, runbooks and the full source code in your own repository.
Illustrations of the kind of work involved, not client case studies.
We choose per task, based on quality, cost, latency and where your data is allowed to go. The app is built so the model can be changed later.
You do. It lives in your repository from the first day.
Yes. We can build alongside your developers, or hand over to them with documentation.
A few sentences are enough. We will reply by email with questions or a suggested next step.