We're building the structure, permissions, and accountability layer for teams that are part human, part agent.
Get in touchAs AI agents take on real, ongoing operational work, they don't fit cleanly into the tools organizations already use for structure, permissions, and accountability — those tools assume every actor is a person.
Today, most teams bolt agents on with ad hoc scripts and shared credentials. There's no real primitive for “this agent reports to this process, has this scope, and is accountable in this way.”
A structural model where agents and people share the same org chart, with clear scope and reporting lines.
Fine-grained permissioning for agents, with an audit trail that holds up to scrutiny.
Tooling to route work between agents and people based on task type, not just availability.
A single view of what every agent in the org is doing, and why.
AI agents have moved from demos into production workflows across support, ops, and engineering.
HR systems, permission models, and org charts were never designed with non-human actors in mind.
As agent-driven mistakes get costlier, organizations need a real answer for who — or what — was responsible.
We're early and building selectively. If you're wrestling with how agents fit into your org today, we'd like to hear how.