Oregon · Applied AI
AI agents in Portland
AI agents designed around the way a Portland 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.
Portland sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI agents template would catch.
- 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 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.
Our field notes from Portland builds.
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 agents 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 agents that do work.
The outcome for Portland teams
What changes for Portland teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Replaces 15+ hours of weekly back-office work per agent deployed.
Replaces 15+ hours of weekly back-office work per agent deployed.
AI agents in Portland – common questions
What's the realistic timeline for AI agents with a Portland?
Most Portland 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".
What does AI agents cost for a Portland?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Do you have proof this works for Portland businesses?
Direct case study: Replaces 15+ hours of weekly back-office work per agent deployed. Happy to walk you through full numbers on a call.
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.
Sketch this with us.
We'll map your real workflow before quoting anything.
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.