Good teams. Broken wiring. Fixed.
Trades, construction and manufacturing businesses that ran on spreadsheets, memory and missed follow-ups — and what we built instead.
Stock, job costing and fleet tracking — built on the software they already owned.
Five siloed systems connected into one live record — quoting, projects, inventory, accounting, email.
Configured the platform they were already paying for, then automated every follow-up.
Document-AI quoting, council monitoring and an AI receptionist — humans approve everything.
A warehouse and twelve vans. One system that keeps count.
$30M of car park work ran on spreadsheets and memory. Stock lived in people's heads, job kits were built from parts that existed nowhere, and nobody knew what any job actually cost.
We built the operating layer on the software they already owned. Stock for the warehouse and every van, reorder alerts, job costing, a live fleet dashboard — then trained the team to run it without us.
Five systems that never spoke. One record everyone trusts.
~100 contracts a year at a $260K average quote — quoting, projects, inventory, accounting and email in five silos, re-keyed by hand. Sales quoted stock the company didn't have, and a date change took days to reach the warehouse.
We connected all five into one live project feed. Entered once, visible everywhere: real stock for sales, automatic alerts when dates move, completion evidence back before the invoice goes out.
$6.4M of jobs, zero reports. Now it chases everything itself.
The job platform was installed but never configured: every job at $0 budget, 95% falsely flagged overdue, 58 leads sitting cold. The owner was the reporting system.
We configured the platform they were already paying for, put $6.4M of work on a live dashboard, then automated the leaks — quote follow-ups, lead re-engagement, invoice chasing and a weekly report.
Floor plans, councils, phones. The AI handles all three.
Every quote started with hand-measuring a scanned apartment plan — the team's #1 bottleneck. Council development applications were spotted by luck, and follow-up ran on memory.
We built a document-AI pipeline that reads the plans and drafts the quote for human approval, monitoring agents that watch every council daily, and an AI receptionist with five outbound voice campaigns.