AI call notes + coaching - wired into a San Antonio workflow, not bolted on the side.

Our goal is to give San Antonio businesses a three-day weekend, so people can spend more time with their families and the people they love :)

San Antonio 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.

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

What you actually get

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

How AI call summaries 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

Our field notes from San Antonio builds.

  • San Antonio runs on military, healthcare and cybersecurity, with a cost base well under Austin's - AI here means real capability without Austin or Dallas pricing.
  • A huge military and defence presence, a growing cybersecurity cluster, and a healthcare sector serving a wide South Texas region. San Antonio businesses want the same AI capability as the bigger Texas cities at a regional price.

We work with teams across San Antonio: Downtown · Alamo Heights · Stone Oak · Medical Center · Southtown · The Pearl.

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How we build AI call summaries for a San Antonio team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your San Antonio business, so value lands before the build is finished. AI call notes + coaching.

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How the work runs

The outcome for San Antonio teams

The shape of the result for San Antonio 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

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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 fast could we have AI call summaries in production?

Eight to ten weeks for most San Antonio 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 does AI call summaries cost for a San Antonio?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Anyone else in this space using AI call summaries?

Plenty. Sales coaching scales to every rep without doubling manager time. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

What if our San Antonio 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.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.