The reason we take on work in Chicago is that the businesses here tend to be sharper about what they want than the brief lets on. AI customer feedback for a Chicago team almost always ends up looking different to AI customer feedback for a downtown Auckland one.
AI review and feedback - wired into a Chicago workflow, not bolted on the side.
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 :)
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
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI customer feedback runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Chicago businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI customer feedback compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped 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.
Talk to us about this →
How we build AI customer feedback 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 review and feedback.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Chicago businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Chicago teams
We'd call the engagement a success when Chicago teams are using the system without thinking about us. 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for Chicago businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Has this actually shipped for a real Chicago?
Yes. Star ratings up ~0.4 in 90 days from faster, on-brand responses. We'll share comparable engagements on the call.
What tools do you build AI customer feedback on?
For AI customer feedback we usually reach for Claude, Google Business API, Trustpilot, Vercel. We're tool-agnostic at heart - we pick what your Chicago team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.