California · Applied AI
AI personalisation in Oakland
Built and supported here – the way a Oakland business would actually use it.
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.
Most of our Oakland 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 personalisation is then designed against the detail, not the shape.
- 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
Why Oakland businesses choose this
Oakland runs on logistics, healthcare and a wave of businesses priced out of San Francisco – AI here means Bay Area capability without Bay Area rent.
Where Oakland operators actually lose hours.
One of the busiest container ports on the West Coast, a major hospital network, and a growing tech and creative scene that moved across the bay for the rent. Oakland businesses want the same AI rigor as San Francisco without the San Francisco price tag.
We work with teams across Oakland: Downtown Oakland · Jack London Square · Temescal · Fruitvale · Rockridge · West Oakland.
How we build AI personalisation for a Oakland team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Oakland business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI personalised CX.
The outcome for Oakland teams
The shape of the result for Oakland teams: Conversion lift of 18-32% over generic site experiences. Built on Claude, hardened with the rest of the stack as it scales.
Conversion lift of 18-32% over generic site experiences.
AI personalisation in Oakland – common questions
When does AI personalisation actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Oakland – so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Do you have proof this works for Oakland businesses?
Direct case study: Conversion lift of 18-32% over generic site experiences. Happy to walk you through full numbers on a call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI personalisation can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Vercel Edge, Postgres, Klaviyo but the architecture supports your existing platform choices.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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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.