HOW WE WORK
We prove it pays before you commit.
And we'll tell you when it won't. Every engagement runs on the same four stages — find the money your business is leaking, stop the worst leak first, then build the engine that runs the repetitive work so your team gets its time back. You see the numbers at every step. If something won't earn its keep, we say so.
The four stages
FIND · AUDIT & RESEARCH
Find the leak
We start by finding where the money actually goes. We pull your data, baseline the numbers, and hand you one page: the single biggest leak, what we'd do about it, what it would cost — and where AI won't help, so you don't waste money on it. Numbers, not opinions.
FIX · STOP THE BLEEDING
Stop the worst leak first
We fix the biggest leak first, with the smallest change that proves itself — the quickest win that earns its keep before anything bigger. Everything else waits.
BUILD · FOUNDATIONS
Put the plumbing in place
Before anything runs on its own, we build the foundations — the data, the connections, the guardrails that let the work run reliably. This is the part most AI projects skip, and it's why most of them fail: the technology is rarely the problem, the integration is. We go heavier here where the work touches money or compliance.
GROW · AUTOMATED EXECUTION
The engine runs itself
Then the repetitive work starts running itself — on the team you've already got. We check your team is ready to use it before we ship, measure the result against where you started, and close with a written handoff: what we learned, what's measured, and the next move if you want one.
Five things we commit to
- 1.
Biggest leak first. We don't sell 12-month roadmaps. We find the single biggest leak and stop it. Everything else waits.
- 2.
One page, not a 50-page deck. At the end of the workshop you get one page: which problem is costing you most, what we'd do, what it costs.
- 3.
Measure before we prescribe. The workshop produces baseline numbers, not opinions. If we can't measure your starting point, we don't promise an improvement.
- 4.
We check your team's ready before we ship. Most failed AI projects fail because nobody asked whether the team could actually use the thing. We ask first.
- 5.
We close with a handoff, not an exit. Every engagement ends with a written close-out: what we learned, what's measured, and the next move if you want it.
The thinking behind it
The four-stage shape isn't ours. It's the turnaround sequence proven across corporate recoveries since the 1980s (Bibeault, Corporate Turnaround), applied to small businesses and to AI. The automation patterns we build on are the ones Anthropic documents for reliable AI systems. And we measure everything against a baseline because the businesses that skip measurement are the ones whose AI projects quietly fail.