Oregon · Applied AI
AI efficiency audit in Portland
Find AI wins fast, built for businesses operating in Portland.
What AI efficiency audit actually does
A two-week audit that maps your team's actual time spend, finds the 5 highest-leverage AI plays, and ships the first one. No vapourware, no 80-slide decks – just one working thing.
The version of AI efficiency audit that works for a Portland business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
- 01 Time-and-motion review of your top 5 workflows
- 02 Ranked AI opportunity list – ROI, effort, risk
- 03 One pilot shipped in week two, not a six-month roadmap
- 04 Fixed price, fixed scope, kept honest
Built on: Claude Notion Loom Linear Vercel
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 efficiency audit 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.
Find AI wins fast.
The outcome for Portland teams
If we build the right slice first, Portland teams feel the difference inside the first month. Average pilot saves 8 hours/week within 30 days of launch.
Average pilot saves 8 hours/week within 30 days of launch.
AI efficiency audit in Portland – common questions
How long does AI efficiency audit 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: Average pilot saves 8 hours/week within 30 days of launch. 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 efficiency audit 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.
Ready to talk specifics?
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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.