We partner with teams to move the work humans do by hand into AI-native flows — designed, deployed, and observed inside the systems you already run on.
From the first audit to the agent's hundredth production run — we stay close to the work and the systems around it.
We sit with your team, map the manual work as it actually happens, and surface the moments where an agent can take ownership without breaking your operating model.
We design the flow, choose the right models, connect your tools, and ship a working system — not a demo. Built to be versioned, evaluated, and handed off.
Every run is traceable. We help your team monitor agents in production, catch regressions early, and tune behaviour as the real world meets your assumptions.
Four moves. Same systems. The agent does the navigation; your team handles the exceptions.
We start where the work happens. We shadow your team, learn the systems, and document the flow as it really runs — not as the wiki describes it.
We propose a clear agentic replacement: which steps an agent owns, where humans approve, which tools get called, and how success is measured.
We ship a working agent against the real systems — wired through MCP, APIs, or browser control — with traces, evaluations, and a rollback plan from day one.
We stay on with you. Production reveals edge cases — we tune prompts, tools, and policies until the flow holds up to the work your team actually does.
Bring the workflow you've been meaning to fix. We'll figure out, with you, where an agent earns its place.
Tell us a little about the work. We'll come back with a short note on what we'd look at first — usually within two business days.