We've worked with enough operators in Ashburton to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI meeting notes project is sit with your team for a day before we propose anything.
Built and supported here - the way an Ashburton business would actually use it.
Our goal is to give Ashburton businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI meeting notes actually does
Every call, site visit, or toolbox talk captured, summarised, and turned into action items in your CRM or project tool. No more 'who was meant to do that?'.
- 01 Works on Teams, Zoom, Meet, or in-person recordings
- 02 Action items auto-pushed to ClickUp, Asana, or Jira
- 03 Searchable history across every meeting your team holds
- 04 Confidentiality controls - what stays internal, stays
Built on: Whisper Claude Recall.ai Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI meeting notes runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Ashburton businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI meeting notes compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
What's different about doing this work in Ashburton.
- Mid-Canterbury runs on irrigated dairy, arable, and a tight industrial sector - AI here is about turning paddock data into operational decisions.
- Dairy, arable, and a strong engineering base supporting irrigation and processing. AI lands well when it makes long days shorter.
We work with teams across Ashburton: Ashburton CBD · Hampstead · Methven · Rakaia · Tinwald.
Talk to us about this →
How we build AI meeting notes for an Ashburton team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Ashburton business, so value lands before the build is finished. AI meeting capture.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Ashburton businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Ashburton teams
The shape of the result for Ashburton teams: Saves managers ~5 hours a week on follow-up admin. Built on Whisper, hardened with the rest of the stack as it scales.
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.
FAQ
What's a typical engagement length for Ashburton businesses?
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.
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.
Do you have proof this works for Ashburton businesses?
Direct case study: Saves managers ~5 hours a week on follow-up admin. Happy to walk you through full numbers on a call.
Can you work with our existing systems?
Yes. The default AI meeting notes stack we reach for is Whisper, Claude, Recall.ai, 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.
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.