We've worked with enough operators in Philadelphia to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI HR assistant project is sit with your team for a day before we propose anything.
Built and supported here - the way a Philadelphia business would actually use it.
Our goal is to give Philadelphia 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 Philadelphia 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 |
Where Philadelphia operators actually lose hours.
- Philadelphia runs on healthcare, education and a manufacturing base that never fully left - AI here means modernising operations built up over decades, not starting from a blank slate.
- One of the largest hospital and university networks on the East Coast, alongside a manufacturing and logistics base with real history. Philadelphia businesses want AI that fits into how things already run, not a rip-and-replace.
We work with teams across Philadelphia: Center City · University City · Fishtown · Manayunk · Old City · South Philly.
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How we build AI HR assistant for a Philadelphia team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Philadelphia 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 Philadelphia 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 Philadelphia teams
The shape of the result for Philadelphia teams: 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 Philadelphia - 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 Philadelphia businesses are surprised how small the first cheque is.
What's the realistic outcome for Philadelphia businesses?
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.
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.