When a plumbing business asks us about AI efficiency audit, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.
Plumbing businesses · Applied AI
AI efficiency audit that fits a plumbing business's week, not the other way around.
What AI efficiency audit actually does
A two-week audit that maps your team's actual time spend, finds the 5 highest-leverage AI plays, and ships the first one. No vapourware, no 80-slide decks – just one working thing.
- 01 Time-and-motion review of your top 5 workflows
- 02 Ranked AI opportunity list – ROI, effort, risk
- 03 One pilot shipped in week two, not a six-month roadmap
- 04 Fixed price, fixed scope, kept honest
Built on: Claude Notion Loom Linear Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
Field notes
What years of building for plumbing businesses taught us.
- Plumbers lose jobs to whoever answers the phone first, and most calls come in while they're already under a sink.
- Missed calls, slow quotes, and unchased invoices are the three leaks that cost plumbing businesses the most money.
How we build AI efficiency audit for plumbing businesses.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a plumbing business business, so value lands before the build is finished. Find AI wins fast.
Talk to usThe outcome for plumbing businesses
The shape of the result for plumbing businesses: Average pilot saves 8 hours/week within 30 days of launch. Built on Claude, hardened with the rest of the stack as it scales.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How long does AI efficiency audit take to ship for plumbing businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real plumbing businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Average pilot saves 8 hours/week within 30 days of launch.
Who owns the code and the model setup?
You do, on delivery. We deploy AI efficiency audit into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too – we don't operate it from ours.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.