AI Automation & Infrastructure
Put AI to work inside your actual systems.
We build the MCP servers, agents, and guardrails that let AI assistants act safely on your data and tools — so your team gets real leverage instead of brittle scripts and copy-paste.
What we build
From a single MCP server to a running automation
Custom MCP servers
Typed, permissioned tools that give Claude and other assistants safe access to your database, APIs, and internal apps — the same pattern we use in our own products.
Agents & workflows
Agent loops that claim work from a queue, act within a safe allowlist, and escalate anything risky to a human — reliable enough to run unattended.
Automation infrastructure
The queues, workers, auth, and observability that make an automation dependable in production, not just a demo that works once.
Guardrails & review
Server-enforced limits on what an agent can do, with human approval where it matters, so you get speed without handing over the keys.
How we work
Scoped, built, and operated
Scope
We map the task, the systems it touches, and where a human must stay in the loop — then define exactly what the automation may and may not do.
Build
We ship the MCP servers, agents, and infrastructure with the guardrails enforced in code, plus tests, so it behaves the same on a bad day as a good one.
Operate
On a retainer we monitor, tune, and extend the automation as your tools and needs change — or hand it over with docs when you want to own it.
We build these for ourselves, too
Have a workflow that should run itself?
Tell us the task and the tools involved. We’ll scope an automation and its guardrails.