AI HR assistant designed around the way a Chicago team actually runs.

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

Chicago sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI HR assistant template would catch.

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

Our field notes from Chicago builds.

  • Chicago runs on logistics, manufacturing, finance and a genuinely diverse industrial base - AI here means fitting into operations that were already running lean before AI existed.
  • A major freight and logistics hub, a deep manufacturing base, and a futures and options trading industry with zero patience for anything slow. Chicago businesses want AI that respects an operation that already runs tight.

We work with teams across Chicago: The Loop · River North · Wicker Park · Lincoln Park · Evanston · Naperville.

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How we build AI HR assistant for a Chicago team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Chicago 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 Chicago teams

HR enquiries drop 65% in the first month - leaders get their week back. For Chicago teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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

What's the realistic timeline for AI HR assistant with a Chicago?

Most Chicago businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

What does AI HR assistant cost for a Chicago?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Can you walk us through a comparable build?

Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. HR enquiries drop 65% in the first month - leaders get their week back.

What happens if we want to swap a vendor out later?

AI HR assistant is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, Employment Hero API, BambooHR, Vercel are our defaults, but the build is intentionally portable.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.