Connect GitHub to Jira with an AI agent
An agent watches issues, PRs and commits in GitHub, decides what matters, and creates or transitions an issue in Jira. Velaris connects GitHub and Jira 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 repos, issues and PRs in GitHub, judge what's worth acting on, and creates or transitions an issue in Jira — so the change is filed where engineering already triages.
- Move issues and PRs 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 roll up sprint status in Jira from what it found in GitHub — every write logged, scoped and reversible.
How it works
- 1
Connect GitHub and Jira
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 GitHub to Jira 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 GitHub-to-Jira Zap or automation?
A rule fires the same way every time. An agent reads the GitHub context, decides whether it matters, and adapts what it does in Jira — pausing for approval on anything outbound or irreversible.
Will it act in Jira 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.