The version of AI efficiency audit that works for a Blenheim 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.
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
Marlborough
What's different about doing this work in Blenheim.
- Marlborough is wine, aquaculture, and tourism – three industries running on tight margins where AI quickly pays for itself.
- Vineyards, cellar doors, mussel farms, and a thriving cycle-trail tourism economy. AI here means forecasting the season and never missing a booking.
We work with teams across Blenheim: CBD · Renwick · Picton · Havelock · Seddon.
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How we build AI efficiency audit for a Blenheim team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Blenheim business, so value lands before the build is finished. Find AI wins fast.
Talk to usThe outcome for Blenheim teams
We'd call the engagement a success when Blenheim teams are using the system without thinking about us. 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
How long does AI efficiency audit take to ship for Blenheim businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Blenheim 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.
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.
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.
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.