AI efficiency audit is overhyped at the macro level and underused at the workflow level. For a NZ electrical contractor, that gap is where the actual ROI lives – and where most of our work happens.
Electrical contractors · Applied AI
AI efficiency audit that fits a electrical contractor'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
Why electrical contractors are different
Electrical contractors run their businesses unlike anyone else.
- Electricians juggle callouts, compliance certificates, and quoting, usually from the front seat of a van.
- Certificates of compliance and quote turnaround are where electrical businesses either look professional or lose the job.
How we build AI efficiency audit for electrical contractors.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a electrical contractor business, so value lands before the build is finished. Find AI wins fast.
Talk to usThe outcome for electrical contractors
If we build the right slice first, electrical contractors feel the difference inside the first month. Average pilot saves 8 hours/week within 30 days of launch.
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
What's a typical engagement length for electrical contractors?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
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.
Anyone else in this space using AI efficiency audit?
Plenty. Average pilot saves 8 hours/week within 30 days of launch. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
Can you work with our existing systems?
Yes. The default AI efficiency audit stack we reach for is Claude, Notion, Loom, Linear, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.