AI HR and people ops - wired into a Houston workflow, not bolted on the side.

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

Houston 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

The pattern across Houston engagements we've shipped.

  • Houston runs on energy, petrochemicals and one of the country's biggest medical centres - AI here means handling compliance-heavy, high-stakes work without cutting corners.
  • The energy capital of the US, a huge petrochemical complex along the Ship Channel, and the Texas Medical Center, one of the largest hospital systems in the world. Houston businesses want AI that's rigorous first, fast second.

We work with teams across Houston: Downtown · The Woodlands · Sugar Land · Katy · Energy Corridor · Midtown.

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How we build AI HR assistant for a Houston team.

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

HR enquiries drop 65% in the first month - leaders get their week back. For Houston 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 Houston?

Most Houston 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".

Is AI HR assistant worth it for a smaller Houston?

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.

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 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.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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