Oregon · Applied AI

AI personalisation in Portland

For Portland operators who want a working pilot in weeks, not a year-long programme.

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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.

We've worked with enough operators in Portland 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.

Built on: Claude Vercel Edge Postgres Klaviyo

Why Portland businesses choose this

Portland runs on a mix of tech, manufacturing and a famously independent small business scene – AI here has to respect a market that's skeptical of hype by default.

The Portland context, plainly.

A semiconductor and tech manufacturing base (the 'Silicon Forest'), and a dense scene of independent retailers, restaurants and makers. Portland businesses want AI that's genuinely useful, not just the current trend.

We work with teams across Portland: Downtown Portland · Pearl District · Hawthorne · Beaverton · Hillsboro · Lloyd District.

How we build AI personalisation for a Portland team

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Portland 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 Portland teams

If we build the right slice first, Portland teams feel the difference inside the first month. Conversion lift of 18-32% over generic site experiences.

Conversion lift of 18-32% over generic site experiences.

AI personalisation in Portland – common questions

How long does AI personalisation take to ship for Portland businesses?

We aim for a working pilot inside 4-6 weeks – narrow scope, real Portland businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

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.

Do you have proof this works for Portland businesses?

Direct case study: Conversion lift of 18-32% over generic site experiences. Happy to walk you through full numbers on a call.

Who owns the code and the model setup?

You do, on delivery. We deploy AI personalisation into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too – we don't operate it from ours.

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