We've worked with enough operators in Boston to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI customer feedback project is sit with your team for a day before we propose anything.
For Boston operators who want a working pilot in weeks, not a year-long programme.
Our goal is to give Boston 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 Boston 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 |
The Boston context, plainly.
- Boston runs on biotech, higher education and finance, with more PhDs per capita than almost anywhere in the country - AI here has to earn trust from a genuinely technical audience.
- A world-leading biotech and pharma cluster, a huge concentration of universities and hospitals, and a mature financial services industry. Boston businesses expect AI claims to be backed by something more rigorous than a demo.
We work with teams across Boston: Back Bay · Cambridge · Seaport · Somerville · South End · Kendall Square.
Talk to us about this →
How we build AI customer feedback for a Boston team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Boston 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 Boston 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 Boston teams
If we build the right slice first, Boston 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
When does AI customer feedback actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Boston - so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Has this actually shipped for a real Boston?
Yes. Star ratings up ~0.4 in 90 days from faster, on-brand responses. We'll share comparable engagements on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI customer feedback can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Google Business API, Trustpilot, Vercel but the architecture supports your existing platform choices.
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.