Solutions
Three ways in. One system out.
Every engagement starts with the audit and ends with a system your people run with confidence. Everything between is scoped to your finding.
S-01 audit · S-02 systems · S-03 educationThe audit.
It starts with a free thirty-minute call. Then we go inside the operation: we shadow the work, price every opportunity, and hand you a ranked map of where AI pays, ordered by payback. The finding is free.
Request a free auditWe sit with the people doing the jobs: intake, estimating, close, dispatch. We map where the hours and the margin actually live, at the desk where the work happens.
Each candidate gets a number: hours recoverable, cost to build, time to payback, and the controls it needs. You watch the ranking happen and approve the math yourself.
A working session with the ranked map: what to build first, what it costs, and exactly what we would do in your seat. Keep it and build with anyone.
Custom systems.
Design, build, and integration of the systems the audit ranked first, wired into the tools you already run and proven on live work before anyone calls it done.
Scope, data paths, controls, failure modes, a named owner. On paper before in code.
The system itself: models, prompts, integrations, and review gates where accuracy matters most.
Into your CRM, books, PM stack, and inboxes, right where your team already works.
Two weeks on live work, measured against the audit's number. It ships when it holds.
We run it.
MaintenanceMonitoring, model updates, accuracy reviews, and a monthly readout of what it saved. You see the meter; we keep it honest.
From $9,500/mo · scoped by the audit
You run it.
HandoffDocumented end to end, your team trained on it, playbook included. The system stays and keeps earning. Either path, chosen per system.
Controls, monitoring, accountability.
Every system ships with controls, monitoring, and a named owner. Run by us or handed off, it carries a control register: a living document listing each control, what it protects, and how it is checked.
Data handling, in plain termsFit
Where we are not the fit.
Our engagements end in running systems. If the deliverable you need is a strategy document, a pure advisory firm will serve you better.
The audit works because we sit inside the real workflows. If no operator can give us working access, the findings will be thin — wait until someone can.
If one off-the-shelf subscription already solves it, we will say so in the audit and step aside. We build where the work is genuinely yours.
Education & training.
Among EU enterprises that considered AI but held back, 70.9% name lack of relevant expertise as the reason (Eurostat, 2025). We train every person who touches the system, so the capability stays yours.
For owners and executives: what the models can do this year, where peers are banking returns, and how to buy with confidence.
Approximately one-third report their companies have begun to scale. That gap is what the briefing covers.
For the people inside the workflow: running the system we built, judging outputs with confidence, and knowing exactly when to bring in a human.
For teams that want the capability in-house: your builders ship alongside ours on your first system, and own the second one outright.
Questions we get.
What does an engagement cost?
The audit is free. Systems are priced per build from what the audit finds, so you approve cost and payback before anything is built. If we run your systems after the build, that is priced from $9,500/mo, scoped by the audit.
How long does the audit take?
It starts with a free thirty-minute call. From there we shadow the work where it happens, then price each opportunity: hours recoverable, cost to build, time to payback. You leave with a ranked map you keep, whoever you build with.
Do we have to change the tools we already use?
No. We build into the stack you already run: your CRM, your books, your project tools, your inboxes. Which model or platform sits underneath is chosen per system, for the job in front of it.
How do you handle our data?
Every system ships with controls, monitoring, and a named owner. Each one carries a control register: a living document listing each control, what it protects, and how it is checked. Data paths are part of the design, on paper before in code.
What happens after a system ships?
Your choice, made per system. We run it: monitoring, model updates, accuracy reviews, and a monthly readout of what it saved. Or your team runs it: documented end to end, trained on it, playbook included. Either way the system stays and keeps earning.
Is the training for teams or for individuals?
Both, on different paths. Team training is part of an engagement: we train the people who work with the system we built, inside their real workflow. Learning on your own is what the Community is for: education first, at your own pace, no engagement required.