We've worked with enough operators in Whakatāne 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 lead generation project is sit with your team for a day before we propose anything.
Get me new leads, built for businesses operating in Whakatāne.
Our goal is to give Whakatāne businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI lead generation actually does
An AI agent that finds new leads matching your best customers, validates the contact details, and feeds a continuous trickle of qualified prospects into your CRM - every week, without you lifting a finger.
- 01 Lookalike modelling from your closed-won accounts
- 02 Multi-source enrichment (LinkedIn, Companies Office NZ, web)
- 03 Email + phone validation before anything hits your CRM
- 04 Weekly leaderboard of the hottest accounts to chase
Built on: Claude for ICP scoring + research Apollo, Clay, LinkedIn Sales Navigator NZ Companies Office data HubSpot / Salesforce / Pipedrive
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 lead generation 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 Whakatāne 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 lead generation 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 |
Where Whakatāne operators actually lose hours.
- Eastern Bay of Plenty runs on horticulture, aquaculture, and Māori-led enterprise - AI here works when it respects relationships first.
- Kiwifruit, aquaculture, marine tourism, and a strong iwi economy. AI tools that work offline and bilingually find their home here.
We work with teams across Whakatāne: Whakatāne · Ōhope · Kawerau · Edgecumbe · Murupara · Ōpōtiki.
Talk to us about this →
How we build AI lead generation for a Whakatāne team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whakatāne business, so value lands before the build is finished. Get me new leads.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Whakatāne 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 Whakatāne teams
The shape of the result for Whakatāne teams: An NZ B2B software company built a 300-lead/week pipeline on autopilot - entire SDR seat returned. Built on Claude for ICP scoring + research, 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
When does AI lead generation 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 Whakatāne - 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.
Do you have proof this works for Whakatāne businesses?
Direct case study: An NZ B2B software company built a 300-lead/week pipeline on autopilot - entire SDR seat returned. Happy to walk you through full numbers on a call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI lead generation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude for ICP scoring + research, Apollo, Clay, LinkedIn Sales Navigator, NZ Companies Office data, HubSpot / Salesforce / Pipedrive but the architecture supports your existing platform choices.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.