Linkence reads the thread, the discussion, and the spec, prepares a structured Jira issue with the fields pre-filled, and creates it only after you approve.
Nothing is created in Jira without your explicit approval.A customer thread becomes a bug, a Slack discussion becomes a task, and someone has to translate both into Jira fields by hand. Context gets lost, fields get skipped, and the ticket says less than the thread did.
So engineers open the ticket and then go read the thread anyway.
Tickets are written by hand from scattered context.
Fields are skipped and links are missing.
The ticket says less than the conversation did.
No query syntax, no digging through tabs. The ask is stated the way a person would say it.
A customer or internal thread should become tracked work
A structured issue, created after approval
The owner reviews and approves the fields before creationA sprint or backlog needs a risk pass
A cited summary of at-risk items
The lead decides what to escalateA sprint review needs the record
A cited sprint summary
The team confirms before it is sharedEvery answer reflects how the product actually behaves, never generalised.
No. It prepares a structured issue with fields pre-filled and creates it only after you explicitly approve. Nothing is written to Jira without approval.
From the thread, the discussion, and the spec (Gmail, Slack, and Confluence), cited on the issue so an engineer can open the source.
Yes. It also provides AI issue search across Jira with mail, Slack, and Confluence context.
We will show how Linkence finds the relevant context, presents the work and keeps every sensitive change under your team's control.
Representative data is enough for the first demo. No production access required.