AI efficiency audit in Whanganui.
For Whanganui operators who want a working pilot in weeks, not a year-long programme.
What this is
Find AI wins fast
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.
Average pilot saves 8 hours/week within 30 days of launch.
How it helps your Whanganui team
What you actually get.
- Time-and-motion review of your top 5 workflows
- Ranked AI opportunity list – ROI, effort, risk
- One pilot shipped in week two, not a six-month roadmap
- Fixed price, fixed scope, kept honest
The version of AI efficiency audit that works for a Whanganui business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
If we build the right slice first, Whanganui teams feel the difference inside the first month. Average pilot saves 8 hours/week within 30 days of launch.
What's different about doing this work in Whanganui.
Tourism, creative industries, and a growing remote-work population. AI tools that scale a small team's reach without enterprise overhead win.
We work with teams in
What we build
AI efficiency audit, tailored to Whanganui businesses.
- 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
Common questions
Before you book the call.
When does AI efficiency audit actually pay back? +
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Whanganui – so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price? +
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
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.
Will this run on our own infrastructure? +
Yes, where it makes sense. AI efficiency audit can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Notion, Loom, Linear, Vercel but the architecture supports your existing platform choices.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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