AI staff training designed around the way an Austin team actually runs.

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

Austin 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 staff training template would catch.

What AI staff training actually does

Turn your senior team's brain into interactive training. AI-generated lessons, practice scenarios, and on-the-job coaching that scales without burning out your best people.

  • 01 Auto-generates training modules from your SOPs
  • 02 Voice-based roleplay scenarios for sales and service teams
  • 03 Tracks competency and flags refresher needs
  • 04 Works offline on site or in the truck

Built on: Claude ElevenLabs Vercel AI SDK Mux Postgres

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI staff training 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

What we keep seeing in Austin.

  • Austin is the tech and startup capital of Texas, and every business here has already seen an AI pitch - AI that ships is the only kind that gets taken seriously.
  • A dense startup and venture scene, major tech company offices, and a live-music and hospitality economy layered on top. Austin teams have high AI literacy already, so the bar is a working product, not a pitch deck.

We work with teams across Austin: Downtown Austin · South Congress · East Austin · The Domain · Round Rock · Cedar Park.

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How we build AI staff training for an Austin team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Austin business, so value lands before the build is finished. AI training tools.

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How the work runs

The outcome for Austin teams

What changes for Austin 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. New-hire ramp-up cut from 12 weeks to 5 - measurable competency, not just attendance.

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 staff training with an Austin?

Most Austin 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 staff training worth it for a smaller Austin?

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 staff training?

Plenty. New-hire ramp-up cut from 12 weeks to 5 - measurable competency, not just attendance. 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 staff training 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, ElevenLabs, Vercel AI SDK, Mux, Postgres 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.

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.