RESULTS

Real numbers, and the working.

We would rather show you three numbers we can defend than thirty we cannot.

0 people
The team these numbers come from
0 hrs
Returned to them every week
0%
First-year return on what they spent
THE WORKING

A five-person property team, one of our first builds. We measured the repeating jobs before we built anything: enquiries, chasing, coordination, reporting, hours per person per week. Then we measured the same jobs after three months on the system. The 110 hours is that difference across the whole team. The 520% prices those hours at what the team actually costs, set against everything they paid us in year one. It is one team, honestly measured, not an average we invented.

CASE STUDIES

Real businesses, real results.

RECRUITMENT · 12-PERSON TEAM

A recruitment desk that places more, with the same team.

As their AI partner, we built a workforce of seven custom AI agents covering sourcing, candidate updates, CRM hygiene, interview scheduling and compliance, then got the team running it day to day.

+40%
More placements in 90 days
14 hrs
Back per consultant, every week
£39k
Payroll cost removed
Zero
Candidate drop-outs
ELECTRICAL CONTRACTING · £1.8M REVENUE

Quotes out in minutes, not days.

As their AI partner, we built five custom AI agents that took over quoting and compliance from end to end, and got the team confident running them.

340%+
Year-one ROI, break-even by month 3
8 min
Quote turnaround, down from 2 to 3 days
£112k
Estimated annual value
-71%
Fewer overdue invoices
LETTINGS & PROPERTY · 190 PROPERTIES

More properties, no new hires.

As their AI partner, we built five custom AI agents handling tenant enquiries and the day-to-day admin across the whole portfolio, with the team trained to run them.

+22
Properties added in 90 days, no new hires
5 min
Tenant response, down from hours
£90k+
Estimated annual value
-31%
Fewer late payments
WHAT WE MEASURE

Pick a job. See the method.

The baseline

We time the whole job before we build anything: from "enquiry arrives" to "quote sent", including the waiting, for two normal weeks. Not a demo week, a normal one.

What we count

Minutes per quote, quotes per week, and how many quotes go out same-day. All three, because a faster quote you never send is not a result.

What we ignore

One-off jobs, the weird quotes that would have taken ages anyway, and any week with a holiday in it. Cherry-picked weeks make numbers nobody should trust.

See it working on your own jobs.

Book the 15-minute call. If there is something real to build, the next step is a free hour where AI does your actual work in front of you.

Or see exactly how the whole thing works first