The reason we take on work in Charlotte is that the businesses here tend to be sharper about what they want than the brief lets on. AI HR assistant for a Charlotte team almost always ends up looking different to AI HR assistant for a downtown Auckland one.
AI HR and people ops - wired into a Charlotte workflow, not bolted on the side.
Our goal is to give Charlotte businesses 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 Charlotte businesses 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 we keep seeing in Charlotte.
- Charlotte is the second-largest banking centre in the country after New York - AI here has to meet a financial services standard for accuracy and auditability.
- Major bank headquarters and a dense financial services and fintech sector, alongside a growing logistics and energy base. Charlotte businesses expect AI that can show its work, not just produce an answer.
We work with teams across Charlotte: Uptown Charlotte · South End · NoDa · Ballantyne · Concord · Huntersville.
Talk to us about this →
How we build AI HR assistant for a Charlotte team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Charlotte 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 Charlotte businesses 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 Charlotte teams
What changes for Charlotte teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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.
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".
Is AI HR assistant worth it for a smaller Charlotte?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Has this actually shipped for a real Charlotte?
Yes. HR enquiries drop 65% in the first month - leaders get their week back. We'll share comparable engagements on the call.
What tools do you build AI HR assistant on?
For AI HR assistant we usually reach for Claude, Employment Hero API, BambooHR, Vercel. We're tool-agnostic at heart - we pick what your Charlotte team can actually run after we hand the build over, not what looks good on a vendor sticker.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.