Definition
Agent assignment
Agent assignment is handing a unit of work to an AI agent using the same gesture you'd use for a person — setting it as an issue's assignee. The agent then picks up the work, acts on it, and reports back in the activity feed. It makes delegating to AI a first-class part of the workflow instead of a separate chat, while keeping the agent's consequential actions under governance.
Key takeaways
- Agent assignment hands work to an AI agent via the same gesture as a person — setting it as the assignee.
- It reuses existing habits (assignee picker, activity feed, @mention) rather than a separate chat panel.
- A useful assignment is a governed one — the agent's destructive actions gated, spend metered, work recorded.
- In Planoda an assigned agent acts under propose/approve, an audit trail, and a cost ledger.
The shift agent assignment makes is in vocabulary, not mechanics. Teams already know how to assign an issue; pointing that gesture at an agent means AI slots into existing habits — the assignee picker, the activity feed, the @mention — rather than demanding a new surface to babysit. Assign a triage to the triage agent, a draft to the writing agent, and the work flows through the same board everyone already watches.
What separates a useful assignment from a dangerous one is whether the assigned agent's reach is bounded. A human assignee is trusted by judgment; an agent assignee acts fast and at scale, so it needs stronger structure — its destructive actions gated, its spend metered, its work recorded. Assignment without governance is just unsupervised automation wearing a teammate's badge.
In Planoda you assign and @mention an agent like any member, but its consequential actions route through propose/approve and the audit trail, and a per-workspace cost ledger bounds spend — so handing work to an agent is as easy as handing it to a colleague, and as accountable.
Related terms
- Assignable agentAn assignable agent is an AI agent modeled as a first-class workspace member: it has an identity you can @mention, assign issues to, and schedule, just like a human teammate. Instead of living in a separate chat panel, it appears in the assignee picker and the activity feed — so delegating to AI uses the same gestures as delegating to a person.
- AI AgentAn AI agent is a software system that uses a large language model to pursue a goal across multiple steps — reading context, choosing tools, and taking actions — rather than answering a single prompt. In a work platform, agents triage issues, draft updates, and execute multi-step tasks as autonomous teammates, bounded by the permissions and approvals their operators set.
- Agent governanceAgent governance is the set of controls that make an AI agent's actions safe, attributable, and reviewable: human approval gates on consequential actions, an immutable audit trail of who approved what, role-based capability limits, and spend controls. It is the difference between an agent that suggests and one you can trust to act.
- Propose / Approve (AI Governance)Propose/approve is a governance pattern for autonomous software: instead of executing a consequential action directly, an AI agent emits it as a proposal that a human or policy must approve before it runs. It keeps fast, read-only work autonomous while gating destructive or irreversible operations — the practical way to give agents real power without surrendering control.
- TriageTriage is the process of reviewing newly reported issues and deciding what happens to each — accept and prioritize, request more detail, route to a team, or close. Borrowed from emergency medicine, it keeps the incoming flow of bugs and requests from overwhelming a team by quickly sorting signal from noise at the front door.