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 call summaries template would catch.
AI call notes + coaching - wired into a Boston workflow, not bolted on the side.
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 call summaries actually does
Every customer call recorded, transcribed, summarised, and coached. Managers spot what's working, reps see what to fix, and customers get follow-ups that actually reference what they said.
- 01 Auto-summary into your CRM after every call
- 02 Coaching scorecards for sales and support reps
- 03 Detects compliance phrases (or missing ones)
- 04 Searchable archive - find the call that mentioned X
Built on: Twilio AssemblyAI Claude 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 call summaries 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 call summaries 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 Boston builds.
- 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 call summaries 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 call notes + coaching.
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
The shape of the result for Boston teams: Sales coaching scales to every rep without doubling manager time. Built on Twilio, hardened with the rest of the stack as it scales.
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 fast could we have AI call summaries in production?
Eight to ten weeks for most Boston businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
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.
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. Sales coaching scales to every rep without doubling manager time.
What if our Boston doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For AI call summaries specifically, we typically run that work on Twilio, AssemblyAI, Claude, Vercel and assume messy starting conditions from day one.
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.