Washington · Applied AI
AI agents in Seattle
AI agents designed around the way a Seattle team actually runs.
What AI agents actually does
Autonomous AI agents that don't just answer – they get things done. They check inventory, draft proposals, file paperwork, and chase quotes while your team focuses on the human work.
Seattle businesses don't need another generic AI pitch. AI agents only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Washington.
- 01 Goal-driven agents that complete multi-step tasks
- 02 Connect to your tools – Xero, HubSpot, Gmail, Slack, your CRM
- 03 Human-in-the-loop checkpoints for anything risky
- 04 Full audit log of every action the agent takes
Built on: Claude Agent SDK OpenAI Agents LangGraph n8n MCP
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.
Our field notes from Seattle builds.
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 agents 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 agents that do work.
The outcome for Seattle teams
The shape of the result for Seattle teams: Replaces 15+ hours of weekly back-office work per agent deployed. Built on Claude Agent SDK, hardened with the rest of the stack as it scales.
Replaces 15+ hours of weekly back-office work per agent deployed.
AI agents in Seattle – common questions
What's the realistic timeline for AI agents with a Seattle?
Most Seattle businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
Is AI agents worth it for a smaller Seattle?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Replaces 15+ hours of weekly back-office work per agent deployed.
What happens if we want to swap a vendor out later?
AI agents is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude Agent SDK, OpenAI Agents, LangGraph, n8n, MCP are our defaults, but the build is intentionally portable.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.