Building companies are some of the most efficient operators in New Zealand – which means the easy wins from AI inbound sales are usually already taken. The brief we accept is the one focused on the workflow you've tried to fix twice and given up on.
Building companies · Applied AI
For building companies who want results in weeks, not a year-long transformation programme.
What AI inbound sales actually does
An AI agent that picks up every inbound enquiry the moment it lands – qualifies the lead, answers their questions with your real product knowledge, books the meeting, and only escalates the deals worth a human conversation. No more leads cooling off in the inbox overnight.
- 01 Instant reply on web forms, email, WhatsApp, and Facebook Messenger
- 02 Qualifies budget, timeline, decision-maker before booking a call
- 03 Trained on your actual sales playbook – not a generic chatbot
- 04 Books straight into the right rep's calendar with the right context
Built on: Claude / GPT-4 for conversation Cal.com or HubSpot Meetings Vector store of your sales collateral Slack alerts for hot leads
Without Kiwi Dynamics
With Kiwi Dynamics
From the trenches
The shape of every building companie brief we've seen.
- Builders run multiple sites at once, and the paperwork behind each one grows faster than anyone has time to manage.
- Variations, supplier orders, and client updates are the admin layer that determines whether a build stays on schedule.
How we build AI inbound sales for building companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a building company business, so value lands before the build is finished. Every lead, instantly.
Talk to usThe outcome for building companies
We'd call the engagement a success when building companies are using the system without thinking about us. An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%.
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 fast could we have AI inbound sales in production?
Eight to ten weeks for most building companies. 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 building companies 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 building companies?
Direct case study: An NZ B2B services firm cut average response time from 7 hours to 90 seconds and lifted demo-booked rate by 41%. Happy to walk you through full numbers on a call.
What if our building company 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 inbound sales specifically, we typically run that work on Claude / GPT-4 for conversation, Cal.com or HubSpot Meetings, Vector store of your sales collateral, Slack alerts for hot leads and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.