What is an AI work inbox? Focus human attention where it matters
Inbox is the attention layer between automated work and the people responsible for it. It collects the items that need review, a decision, or follow-up instead of making people watch every run.
The concept
A plain-language definition before the product implementation.
An inbox turns exceptions into an accountable queue
Agent systems create leverage when routine work can continue and exceptions reach the right person. A work inbox separates those exceptions from ordinary notifications, keeping the proposed work, evidence, status, and next action together.
How AI Agent uses it
Review what agents need from you
AI Agent Inbox surfaces work that needs attention within the company and project context. Open an item to inspect its evidence and execution, then review, assign, or continue the work without reconstructing the run from chat history.
Attention first
Prioritize decisions and exceptions instead of every background event.
Context attached
Keep the work, evidence, run state, and next action together.
Clear follow-through
Move reviewed items into accountable project work.
From idea to a working system.
- 01
Surface
Agent and workflow activity creates an item when a person is needed.
- 02
Review
Inspect the proposal, evidence, ownership, and run details.
- 03
Act
Approve, assign, continue, or resolve the item in context.
Reserve human attention for decisions and exceptions
Best for
Reviews, exceptions, errors, and agent-prepared work that needs a person before it can continue or become accountable work.
Choose another pattern when
Every background event or completed run. Keep routine activity in traces and audit history so the attention queue stays useful.
Included in AI Agent
The product capabilities behind the idea.
- Company-scoped attention queue
- Unread attention indicators
- Ticket and run context
- Direct review and follow-up paths
Frequently asked questions
Keep exploring
Related product guides
Human approval
Human approval puts a deliberate checkpoint between agent reasoning and a consequential action. The agent can prepare the work, while a person decides whether it should be applied.
Board
Board gives agent output a visible place in the operating workflow. Recommendations become structured tickets that people can review, prioritize, assign, and move through a shared process.
Audit Log
Audit Log is the event-level record of agent activity. Where Performance shows the aggregate, Audit Log helps a team inspect the individual actions and state changes behind it.
Build the smallest useful version first.
Start with the agent and one real task. Add workflow control, context, and approvals when the work shows you where they matter.