AI review and feedback - wired into an Austin workflow, not bolted on the side.

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 :)

The reason we take on work in Austin is that the businesses here tend to be sharper about what they want than the brief lets on. AI customer feedback for an Austin team almost always ends up looking different to AI customer feedback for a downtown Auckland one.

What AI customer feedback actually does

Every Google review, NPS survey, support ticket, and social mention pulled into one place - themed, scored, and ranked by impact. You finally see what customers actually complain about.

  • 01 Pulls reviews from Google, Facebook, Trade Me, your forms
  • 02 Auto-themes complaints and praise into trends
  • 03 Alerts you to a bad review before it goes viral
  • 04 Drafts public review responses in your voice

Built on: Claude Google Business API Trustpilot Vercel

What you actually get

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

How AI customer feedback 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 Austin engagements we've shipped.

  • 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 customer feedback 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 review and feedback.

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How the work runs

The outcome for Austin teams

Star ratings up ~0.4 in 90 days from faster, on-brand responses. For Austin 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.

Try the calculator

*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 customer feedback 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".

What does AI customer feedback cost for an Austin?

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.

Has this actually shipped for a real Austin?

Yes. Star ratings up ~0.4 in 90 days from faster, on-brand responses. We'll share comparable engagements on the call.

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

AI customer feedback 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, Google Business API, Trustpilot, Vercel are our defaults, but the build is intentionally portable.

Sketch this with us.

We'll map your real workflow before quoting anything.

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.