Case studies
Every engagement below started the same way: a free proof of concept on the client's real data, delivered within 5 days. The PoC became the specification, the specification became a fixed price — and each project grew from there into a long-term partnership.
Quotes and bills of materials were built by hand from incoming project documents. Someone opened each drawing and spec, picked out the items, looked up prices, and assembled the quote in a spreadsheet. It was slow, error-prone — and the whole process depended on one person who knew how to do it.
AI document processing that reads incoming project documents and extracts the items into a structured bill of materials.
A calculation web app that prices the BOM and produces a finished, ready-to-send quote — with a human reviewing before it goes out.
SharePoint integration so documents flow both ways automatically — no uploading, no re-filing, no duplicate folders.
The free PoC ran on real project files, so the fixed price covered exactly what the client had already seen working. Since launch, the app has kept growing per feature — each new capability scoped and priced before we build it.
Field data came back to the office on paper forms. Administration lived in spreadsheets scattered across the office — every report meant retyping the same data, and nobody had one place to see the current state of a job.
A mobile app for field data collection — technicians record data on site instead of on paper, and it lands in the system immediately.
A back-office portal that replaces the scattered spreadsheets — one place for jobs, records, and administration.
An employee portal with AI report generation — reports that used to be written by hand are drafted automatically from the field data.
After the portals launched, the client moved to a monthly plan — a developer allocated to their project for support, maintenance, and new features. The field mobile app was built later under that plan, as the next step in the same system.
Every order arrived as an unstructured email — a PDF attachment, a photo of a form, a list typed into the message body. Staff retyped each one into the system, calculated the pricing, and wrote quotes and invoices manually. Order volume was growing; the team wasn't.
AI extraction that reads each incoming email and attachment and turns it into structured order data — items, quantities, customer, site.
Automatic calculation — the system prices the order and generates the quote and invoice without anyone opening a spreadsheet.
Downstream hand-off — processed orders flow into the client's existing systems automatically, with a review queue for the cases AI isn't sure about.
The PoC ran on a sample of the real inbox, so the client saw their own messy orders processed before committing. The pipeline now runs under ongoing care — we monitor it, tune the extraction, and add order formats as new customers appear.
The pattern
Every project started with a free proof of concept on the client's real data — files, inboxes, exports — delivered within 5 days.
Because we'd already seen the data and the systems, every build was quoted at a fixed price — and anything beyond scope is quoted as a new feature first.
None of these ended at launch. Each client continues per feature, under ongoing care, or on a monthly plan — and always owns the code and the data.
Book a free 30-minute call. We'll tell you which step you're at — and if step 1 fits, you leave with a free proof of concept on your real data within 5 days.
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azurevibesWe remove manual work from your back office — internal apps, system integrations, and AI document processing for SMBs.