AI efficiency audit for landscapers.

Find AI wins fast, built around how a landscaping business actually works.

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. With the right workflow automated, nine hours of admin a week could drop to about one.*

*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.

Site visits turned into quotes with GST at 15 per cent, plus rosters and invoices handled so the busy months stay outdoors.

An AI agency, minus the theatre.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

*Every engagement is scoped and quoted up front. Results vary by workflow and business.

Landscaping businesses need software built around their week, not against it.

Landscapers quote big jobs from a site visit and small jobs from a phone call, and both processes usually run on paper.

Seasonal demand and slow quoting are the two things that most limit how much work a landscaping business can take on.

Less admin.
More weekend.
No theatre.

What AI efficiency audit covers

We'd call the engagement a success when landscaping businesses are using the system without thinking about us.

  • 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
  • No shelfware or licences you do not use
  • No annual contracts

Small crew or big organisation, the busywork is the same :)

Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

How Kiwi Dynamics works

We find the one workflow costing landscaping businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

Good questions, answered

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.

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.

How long does AI efficiency audit take to ship for landscaping businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real landscaping 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.

What does the Privacy Act 2020 mean for AI?

The same rules apply as for any system holding personal information. A breach that could cause serious harm must be reported to the Privacy Commissioner, who expects it within 72 hours.

Can it help with health and safety records?

It can keep them organised. A business must notify WorkSafe of notifiable events and keep those records for at least five years.

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