AI efficiency audit in Masterton.
AI efficiency audit that lives in your stack, not on a vendor's roadmap. Shipped from Wairarapa.
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 Masterton 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
Masterton businesses don't need another generic AI pitch. AI efficiency audit only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Wairarapa.
What changes for Masterton teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Average pilot saves 8 hours/week within 30 days of launch.
The pattern across Masterton engagements we've shipped.
Sheep and beef, viticulture, and a tourism flow from Wellington commuters. AI tools that respect rural broadband budgets land best.
We work with teams in
What we build
AI efficiency audit, tailored to Masterton 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.
How fast could we have AI efficiency audit in production? +
Eight to ten weeks for most Masterton businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on? +
A two-week paid discovery for Masterton businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Do you have proof this works for Masterton businesses? +
Direct case study: Average pilot saves 8 hours/week within 30 days of launch. Happy to walk you through full numbers on a call.
What if our Masterton doesn't have any data ready? +
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI efficiency audit specifically, we typically run that work on Claude, Notion, Loom, Linear, Vercel and assume messy starting conditions from day one.