AI customer feedback that lives in your stack, not on a vendor's roadmap. Shipped from Colorado.

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

Denver 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 customer feedback template would catch.

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

What we keep seeing in Denver.

  • Denver runs on a fast-growing tech and services economy layered on top of energy and outdoor recreation industries - AI here means keeping pace with one of the country's fastest-growing business populations.
  • A growing tech and startup scene, an energy sector rooted in the Rockies, and a booming outdoor recreation and hospitality economy. Denver businesses want AI that scales as fast as the city's population has.

We work with teams across Denver: Downtown Denver · LoDo · Cherry Creek · Boulder · Aurora · Lakewood.

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How we build AI customer feedback for a Denver team.

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

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How the work runs

The outcome for Denver teams

If we build the right slice first, Denver teams feel the difference inside the first month. Star ratings up ~0.4 in 90 days from faster, on-brand responses.

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 customer feedback with a Denver?

Most Denver 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 a Denver?

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

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.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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.