We've worked with enough operators in Austin 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 personalisation project is sit with your team for a day before we propose anything.
AI personalised CX, built for businesses operating in Austin.
Our goal is to give Austin businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI personalisation actually does
Every customer sees the right product, message, and offer - based on what they've bought, browsed, and asked. Built on first-party data, no creepy tracking required.
- 01 Per-customer recommendations across web and email
- 02 Dynamic landing pages tailored to traffic source
- 03 Lifecycle messaging triggered by real behaviour
- 04 GDPR + NZ Privacy Act compliant by default
Built on: Claude Vercel Edge Postgres Klaviyo
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 personalisation 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 Austin 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 personalisation 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 |
Where Austin operators actually lose hours.
- Austin is the tech and startup capital of Texas, and every business here has already seen an AI pitch - AI that ships is the only kind that gets taken seriously.
- A dense startup and venture scene, major tech company offices, and a live-music and hospitality economy layered on top. Austin teams have high AI literacy already, so the bar is a working product, not a pitch deck.
We work with teams across Austin: Downtown Austin · South Congress · East Austin · The Domain · Round Rock · Cedar Park.
Talk to us about this →
How we build AI personalisation for an Austin team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Austin business, so value lands before the build is finished. AI personalised CX.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Austin 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 Austin teams
What changes for Austin 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. Conversion lift of 18-32% over generic site experiences.
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
What's a typical engagement length for Austin businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
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.
Has this actually shipped for a real Austin?
Yes. Conversion lift of 18-32% over generic site experiences. We'll share comparable engagements on the call.
Can you work with our existing systems?
Yes. The default AI personalisation stack we reach for is Claude, Vercel Edge, Postgres, Klaviyo, but we'll bend it around whatever you already run - Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.