When a dog groomer asks us about AI HR assistant, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.
AI HR and people ops, built around how a dog groomer actually works.
Our goal is to give dog groomers a three-day weekend, so people can spend more time with their families and the people they love :)
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
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 HR assistant 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 dog groomers 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 HR assistant 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 |
What years of building for dog groomers taught us.
- Groomers run tight appointment slots where a single no-show leaves an expensive gap in the day.
- Booking confirmations and reminder texts are the simplest lever for cutting no-shows in a grooming business.
How we build AI HR assistant for dog groomers.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a dog groomer business, so value lands before the build is finished. AI HR and people ops.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing dog groomers 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 dog groomers
The shape of the result for dog groomers: HR enquiries drop 65% in the first month - leaders get their week back. Built on Claude, 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 HR assistant 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 dog groomer - so the savings start landing before the rest of the build is finished.
How do you price AI HR assistant engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most dog groomers are surprised how small the first cheque is.
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.
Will this run on our own infrastructure?
Yes, where it makes sense. AI HR assistant can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Employment Hero API, BambooHR, Vercel but the architecture supports your existing platform choices.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.