Representative and live runs reviewed.
Acceptance cases, limitations, and observed performance remain visible.
The Worktree product
Worktree brings each agent, its workflow, access boundaries, approvals, and operating evidence into one system your team can understand and review.
Agents and workflows
The workflow defines what starts the work, which context the agent may gather, the routine it should follow, and the moments that need a person. That makes the deployment understandable to the team using it.
See how Worktree Agents workWorktree agentOperations coordinator
Prepare the client review and flag anything that needs a decision.
Gather approved context
CompleteFollow the defined routine
CompleteRoute ambiguity for review
Human includedRecord the accepted outcome
ReadyProduct security
Security is designed with the workflow: the systems involved, the information required, the actions permitted, and the decisions that remain with people.
Explore security and access controlsOperating evidence
The Deployment Record keeps accepted criteria, observed limitations, exceptions, material changes, and next actions in one place. Your team can review the current operating picture and understand why a workflow or control changed.
Explore managed AI servicesDeployment recordOperating review
Acceptance cases, limitations, and observed performance remain visible.
Ambiguity and failures are routed to people with the context to act.
Focused tests are recorded before a workflow or control is changed.
Choose the operating model
Compare packaged agents, self-operated platforms, an internal agent function, and Worktree's managed approach by the work each model leaves with your team.
Compare AI agent approachesStart with one job
You do not need an AI roadmap. Bring a recurring process, an overloaded handoff, or work that still depends on the same person. A Worktree engineer will help you decide whether an agent belongs there and what it would take to put one into operation.