AI customer support, built for businesses operating in Boston.

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 :)

Most of our Boston engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI chatbots is then designed against the detail, not the shape.

What AI chatbots actually does

Trained on your business, not Wikipedia. AI assistants that answer pricing, hours, availability, bookings - and escalate cleanly when the customer needs a human.

  • 01 Trained on your documents, FAQs, and past tickets
  • 02 Books appointments, takes deposits, qualifies leads
  • 03 Live hand-off to a human when needed
  • 04 Daily quality reports so you stay in control

Built on: Claude OpenAI Custom RAG pipelines

What you actually get

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

How AI chatbots 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's different about doing this work in Boston.

  • 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.

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How we build AI chatbots 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 customer support.

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How the work runs

The outcome for Boston teams

What changes for Boston 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. Handles 60-70% of routine enquiries without human input.

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

How long does AI chatbots take to ship for Boston businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Boston businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

What's the realistic outcome for Boston businesses?

Handles 60-70% of routine enquiries without human input. We don't promise tenfold lifts because we don't see them outside of marketing decks.

Who owns the code and the model setup?

You do, on delivery. We deploy AI chatbots into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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.