Most building companies 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 building company is paying for the same problem to be solved twice.
Building companies · Applied AI
Building companies-grade AI HR assistant, shipped by people who've done it before.
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
Without Kiwi Dynamics
With Kiwi Dynamics
Lay of the land
The two or three things that decide whether this works for building companies.
- 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 HR assistant 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. AI HR and people ops.
Talk to usThe outcome for building companies
If we build the right slice first, building companies 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How fast could we have AI HR assistant 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.
Anyone else in this space using AI HR assistant?
Plenty. HR enquiries drop 65% in the first month – leaders get their week back. 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 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 HR assistant specifically, we typically run that work on Claude, Employment Hero API, BambooHR, Vercel and assume messy starting conditions from day one.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.