Case studies

AI and automation case studies

Thirteen AI systems we have built and put into production, for businesses in construction, manufacturing, distribution and financial services. Each one sets out what the problem was, what we built, and what changed.

01Featured

Featured partnerships

Long-term engagements with systems in daily production use.

02Every case study

Every case study, by sector

Construction9 case studies

The operating system built around how the business works

Variations that cross two teams, come back to whoever raised them and change route depending on value. Eight modules, one login, and the business owns the software.

Hiring, from job board email to booked interview

Six stages, application to booked interview. AI reads every CV as it lands, scores it, and the candidate books their own slot by text or email.

Work arriving by email becomes a job on the board

Requests are read as they arrive, attachments included, and become jobs without anyone retyping them. Purchase orders reconcile on a schedule.

Procurement paperwork, automated in minutes

Hundreds of delivery notes, invoices and credit notes in one upload, each matched against company records in under five seconds, then totalled.

An email asking for a price becomes a priced quote

An email, a spreadsheet or a photo of a page. The enquiry is read, matched to the catalogue and labour rates, and priced for that customer.

AI reads the drawings instead of someone retyping them

Send the whole set. The details on every sheet are pulled off automatically, schedules lifted out of long PDFs, and corrections kept on record.

What changed in the specification, and what it will cost

Two versions compared two ways at once, so a moved paragraph and a swapped material are both caught. Ask a contract a question, get the clause.

Building the AI inside a construction software platform

A partnership of more than a year with APSIS, shipping new AI capability into production most weeks.

Bid writing time cut by 90%

First drafts in minutes rather than days, in one voice, drawing on every bid already written and won.

Next

Start with one process.

Tell us where your team loses the most time. We will tell you honestly whether AI pays there, what it takes to build, and what we have already delivered for businesses like yours.