Washington · Applied AI
AI compliance monitoring in Seattle
Built and supported here – the way a Seattle business would actually use it.
What AI compliance monitoring actually does
AI that watches your forms, calls, contracts, and emails for compliance risk – Health & Safety, Privacy Act, Fair Trading, FMA. Flags issues before regulators or lawyers find them.
We've worked with enough operators in Seattle 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 compliance monitoring project is sit with your team for a day before we propose anything.
- 01 Reviews documents and recordings against your obligations
- 02 Risk scoring with explanations a manager can act on
- 03 Auto-redacts personal info in records you share externally
- 04 Audit-ready logs for WorkSafe, FMA, or Privacy Commissioner
Built on: Claude Vercel Postgres AWS S3
Why Seattle businesses choose this
Seattle runs on cloud computing, aerospace and coffee, home to the companies whose infrastructure half the internet's AI runs on – AI here means holding up to serious technical scrutiny.
The Seattle context, plainly.
Two of the world's largest cloud providers are headquartered here alongside a major aerospace manufacturing base. Seattle businesses, even small ones, tend to have someone on staff who can and will check your work.
We work with teams across Seattle: Downtown Seattle · Capitol Hill · Bellevue · Fremont · Ballard · Redmond.
How we build AI compliance monitoring for a Seattle team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Seattle 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 compliance + audit.
The outcome for Seattle teams
The shape of the result for Seattle teams: Compliance review effort cut 70% with fewer escalations. Built on Claude, hardened with the rest of the stack as it scales.
Compliance review effort cut 70% with fewer escalations.
AI compliance monitoring in Seattle – common questions
When does AI compliance monitoring 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 Seattle – 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.
Has this actually shipped for a real Seattle?
Yes. Compliance review effort cut 70% with fewer escalations. We'll share comparable engagements on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. AI compliance monitoring can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Vercel, Postgres, AWS S3 but the architecture supports your existing platform choices.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Get in touch
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.