Connect Jira to Linear with an AI agent
An agent watches issues and sprints in Jira, decides what matters, and creates or updates an issue in Linear. Velaris connects Jira and Linear through its capability mesh, so you describe the outcome instead of drawing a trigger-and-action flowchart — and anything outbound or irreversible waits for your approval.
Jira is on the roadmap — join the list to get it first.
What you can automate
- Velaris can read and search issues in Jira, judge what's worth acting on, and creates or updates an issue in Linear — so the change is filed where engineering already triages.
- Move issues between two dev tools without re-keying them: the agent maps the fields itself and flags anything ambiguous instead of guessing.
- On a schedule or on a trigger, it can read and update issues in Linear from what it found in Jira — every write logged, scoped and reversible.
How it works
- 1
Connect Jira and Linear
Authorize both tools with scoped access you control.
- 2
Say what you want
Describe the outcome in a sentence — no trigger/action graph to draw.
- 3
Set the approval tier
Reads run automatically; outbound or irreversible steps wait for your tap.
Common questions
Can Velaris connect Jira to Linear without code?
Yes. Connect both tools, then describe the outcome in plain language — the agent selects the right actions from the capability mesh itself. There's no flowchart to build.
How is this different from a Jira-to-Linear Zap or automation?
A rule fires the same way every time. An agent reads the Jira context, decides whether it matters, and adapts what it does in Linear — pausing for approval on anything outbound or irreversible.
Will it act in Linear without asking me?
Only for read-only steps. Writes are logged, and anything destructive or outbound needs an explicit human approval — credentials are scoped to the run and expire with it.