AI agent
development
Agents that carry out multi-step work across your systems — with narrow permissions, a log of every action and a human where it matters.
What we build
Four areas where this work is won or lost.
Workflow automation
Repetitive multi-step processes — intake, triage, enrichment, follow-up — handled end to end with exceptions routed to people.
Tool use and integrations
Agents given a small set of sharply described tools, with every argument validated before anything executes.
Human in the loop
Approval steps for anything irreversible or expensive, so autonomy grows only where it has proven safe.
Observability
Every plan, tool call and outcome logged and replayable, so a wrong action is traceable to its cause.
How we work
A short loop with a written result at every step.
Pick one process
We choose a single workflow with clear inputs, outputs and a cost of error you can state, rather than automating everything.
Build with limits
Scoped permissions, idempotent actions and spending caps first; capability second.
Widen carefully
Autonomy extended step by step as the logged record shows where the agent is reliable.
Stack
Chosen for your product, not for our habit.
Process that eats
hours every week?
Describe it. We will say whether an agent fits, or whether plain automation does the job cheaper.
