Headquarters / Work

Turn an initial ticket into a reviewed brief.

Improve Kooya tickets through AI proposals, editable human review, and an explicit apply step in Headquarters.

Support for ticket authors and reviewers

A rough ticket often leaves the next contributor to discover the scope and verification steps. AI task improvement gives the author a proposal to inspect and edit before changing the saved ticket. The team remains responsible for deciding what the work should deliver.

The proposal can cover the title, description, task type, priority, assignees, dates, tags, acceptance criteria, documents, and media. It also includes change reasons and open questions, so a reviewer can see where judgment is still needed.

Proposal, review, apply

Provide guidance

Open Improve Task on a ticket and optionally explain the outcome you want. For example, ask for clearer acceptance criteria and verification steps while preserving the agreed scope.

Inspect the proposal

Read the assessment, proposed content, metadata, supporting material, and open questions. Where research is used, inspect the supplied sources and their relevance to your task.

Edit with human judgment

Correct assumptions, confirm assignees and dates, and make acceptance criteria observable. Review document and media changes alongside the text.

Apply the reviewed version

Use the explicit apply action when the proposal is ready. Generating a preview leaves the saved ticket unchanged. If the ticket has changed since the preview, refresh it and regenerate before applying.

Example: clarify a handoff checklist

An author starts with “Improve the onboarding checklist” and asks the assistant to focus on the support-team handoff. The reviewer then narrows the proposal to the approved steps, names the intended reader, and defines completion as a reviewed checklist with tested links and a clear escalation contact.

The author confirms that the proposed owner and target date reflect an actual agreement before applying the changes. This is an illustrative editorial example, not a recorded AI output or a promise about a specific generated result.

Configured assistance inside the ticket workflow

Availability depends on organization product access, ticket permissions, and the configured AI service. Your organization’s configuration determines how the assistant is provided and metered. Ask your administrator if the action is unavailable.

The improved ticket stays part of the board workflow. Documentation provides durable supporting context, while sourced AI News offers a separate way to follow developments in AI.

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