Every real estate agency business we've worked with has a different definition of "broken". AI agents only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.
Real estate agencies · Applied AI
For real estate agencies who want results in weeks, not a year-long transformation programme.
What AI agents actually does
Autonomous AI agents that don't just answer – they get things done. They check inventory, draft proposals, file paperwork, and chase quotes while your team focuses on the human work.
- 01 Goal-driven agents that complete multi-step tasks
- 02 Connect to your tools – Xero, HubSpot, Gmail, Slack, your CRM
- 03 Human-in-the-loop checkpoints for anything risky
- 04 Full audit log of every action the agent takes
Built on: Claude Agent SDK OpenAI Agents LangGraph n8n MCP
Without Kiwi Dynamics
With Kiwi Dynamics
On the ground with NZ real estate agencies
The pattern across most real estate agencies we work with.
- Agents live on their phones between open homes, listing enquiries, and vendor updates that can't wait until Monday.
- Lead response speed decides who gets the listing, and most agencies lose leads simply because nobody replied fast enough.
How we build AI agents for real estate agencies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a real estate agency business, so value lands before the build is finished. AI agents that do work.
Talk to usThe outcome for real estate agencies
If we build the right slice first, real estate agencies feel the difference inside the first month. Replaces 15+ hours of weekly back-office work per agent deployed.
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 quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for real estate agencies 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.
Anyone else in this space using AI agents?
Plenty. Replaces 15+ hours of weekly back-office work per agent deployed. 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.
What tools do you build AI agents on?
For AI agents we usually reach for Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP. We're tool-agnostic at heart – we pick what your real estate agency team can actually run after we hand the build over, not what looks good on a vendor sticker.
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.