Handoff

Agent handoff workflow

AI output often loses context when moving between roles, tools, or people.

UsersTeams with multiple AI workers and human owners
TeamPlanner, Builder, Reviewer, Operator
IntegrationsNotion, Jira, monday.com, Slack

Step by step

Readable execution path

01Current workerState capture

Summarize what changed, what is complete, what is uncertain, and where evidence lives.

02ReviewerRisk check

Flag missing approvals, stale context, or customer-facing consequences.

03CoordinatorNext owner

Assign the next AI worker or human with a concrete next action.

04OperatorHandoff write

Write the packet to the right board, doc, ticket, or channel.

Approval pointWhy it matters
Changing ownerRequires a human decision before dpanel.ai writes externally, marks work complete, or sends customer-visible output.
Sending to clientRequires a human decision before dpanel.ai writes externally, marks work complete, or sends customer-visible output.
Marking completeRequires a human decision before dpanel.ai writes externally, marks work complete, or sends customer-visible output.
Passing sensitive contextRequires a human decision before dpanel.ai writes externally, marks work complete, or sends customer-visible output.

Handoff output

What the next person receives

The recipient gets enough context to continue without rereading the entire history.

FAQ

What is Agent handoff workflow?

AI output often loses context when moving between roles, tools, or people.

Where do humans approve?

Changing owner; Sending to client; Marking complete; Passing sensitive context

What does the handoff include?

The recipient gets enough context to continue without rereading the entire history.