AI meeting notes designed around the way a Boston team actually runs.

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 :)

Boston 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 meeting notes template would catch.

What AI meeting notes actually does

Every call, site visit, or toolbox talk captured, summarised, and turned into action items in your CRM or project tool. No more 'who was meant to do that?'.

  • 01 Works on Teams, Zoom, Meet, or in-person recordings
  • 02 Action items auto-pushed to ClickUp, Asana, or Jira
  • 03 Searchable history across every meeting your team holds
  • 04 Confidentiality controls - what stays internal, stays

Built on: Whisper Claude Recall.ai Vercel

What you actually get

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

How AI meeting notes 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 Boston teams tell us when they get on a call.

  • 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 meeting notes 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 meeting capture.

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How the work runs

The outcome for Boston teams

Saves managers ~5 hours a week on follow-up admin. For Boston 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

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 Boston 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.

Do you have proof this works for Boston businesses?

Direct case study: Saves managers ~5 hours a week on follow-up admin. Happy to walk you through full numbers on a call.

What tools do you build AI meeting notes on?

For AI meeting notes we usually reach for Whisper, Claude, Recall.ai, Vercel. We're tool-agnostic at heart - we pick what your Boston team can actually run after we hand the build over, not what looks good on a vendor sticker.

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.