We build AI agents
for a living.

We sit with the team actually doing the work and trace it end to end — every tool, every handoff, every exception. You get a written map of where the hours go and which parts an agent can hold. If nothing in the map justifies the build, we tell you that.

One function, one agent, one measurable outcome. We define what it handles, what it escalates, what it is never allowed to do, and the number we will judge it on. Scope is fixed in writing before a line of code.

We build the agent against your real systems — your helpdesk, your CRM, your ledger, your warehouse API. It runs in shadow mode first, answering alongside your team without touching the customer, until its outputs hold up.

Traffic moves over in stages, not all at once. Every action the agent takes is logged and reviewable. Your team keeps a kill switch and a clear override path from the first day to the last.

We watch the metric, fix what the edge cases expose, and only then talk about the next function. Most clients add their second agent within a quarter — because the first one earned it, not because we sold it.