Built for the real estate agency who's already tried the off-the-shelf option and bounced off it.

Our goal is to give real estate agencies a three-day weekend, so people can spend more time with their families and the people they love :)

Most real estate agencies we talk to aren't short of dashboards or tools - they're short of an hour back in the week. That's the lens we put on AI HR assistant: not a tech showcase, but a careful look at the one or two workflows where a real estate agency is paying for the same problem to be solved twice.

What AI HR assistant actually does

An AI HR assistant trained on your policies, awards, and the Employment Relations Act. Answers staff questions, drafts contracts, screens applicants, and flags HR risk - without replacing your people lead.

  • 01 Answers leave, pay, and policy questions 24/7
  • 02 Drafts contracts, warnings, and PIPs from templates
  • 03 Screens CVs against role criteria with reasoning
  • 04 Flags ER risks before they become disputes

Built on: Claude Employment Hero API BambooHR Vercel

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI HR assistant compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The shape of every real estate agencie brief we've seen.

  • 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.
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How we build AI HR assistant 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 HR and people ops.

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How the work runs

The outcome for real estate agencies

If we build the right slice first, real estate agencies feel the difference inside the first month. HR enquiries drop 65% in the first month - leaders get their week back.

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

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

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

How fast could we have AI HR assistant in production?

Eight to ten weeks for most real estate agencies. 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 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.

What's the realistic outcome for real estate agencies?

HR enquiries drop 65% in the first month - leaders get their week back. We don't promise tenfold lifts because we don't see them outside of marketing decks.

What if our real estate agency 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 HR assistant specifically, we typically run that work on Claude, Employment Hero API, BambooHR, Vercel and assume messy starting conditions from day one.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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.