It’s 4:30 PM on a Friday. An alert fires. Something is wrong across a large chunk of your Jira projects: fields missing, statuses wrong, issue relationships broken. Your team traces it to a bulk change that ran at 2 AM and touched more than it should have.
You trigger a restore. Two hours later, the data is back.
69% of teams need Jira recovery in under four hours. That window is tight enough on its own; restore is rarely the last step. The next question is what the change actually touched, and whether it reached further than what you just fixed.
Restore gets you back to one backup version, the one you chose. It doesn’t show you what an issue looked like at an earlier point, or what happened to anything that was deleted along the way.
That’s the gap the Rewind Intelligence Engine closes: read your backed-up content directly, across every version Rewind has captured, including anything that’s since been deleted.
Your backed-up data is a forensic record
Every backup Rewind captures is a point-in-time snapshot of your data. Rewind has always used those snapshots for recovery. What the Intelligence Engine adds is the ability to query them directly.
For Jira and Confluence, the Rewind MCP can reach into your backed-up data and answer questions the live system cannot. Where the live system answers “what does this look like right now?”, the Intelligence Engine answers “what did this look like before?” Ask in plain English from whatever AI client you work in. The same data layer is available via the API for teams building their own investigation tooling.
Rewind calls this time travel: an independent record of your Atlassian content that survives deletion in the source, so you can read any state Rewind captured and prove what a record said on a given date.
Reconstruct what changed
The most common investigation following an incident is to determine the blast radius.
What did the change touch? Which fields were affected? Did it stay contained to one project, or reach further? The live system can’t answer these because the pre-incident state is gone. The Rewind backup can.
With the Rewind MCP, you query that backed-up data directly. Ask what a specific Jira issue looked like before the update ran. Compare the before-and-after state issue by issue. Check the ones you’re worried about without touching the restored environment or risking a second incident.
Investigation is the explanation that follows recovery. It used to mean digging through the same dashboard, version by version. Now it’s a question you can just ask.
Recover content past the trash window
Confluence’s trash bin holds deleted content for a limited window. After that, the live system has nothing.
Rewind retains it for the duration of your backup retention period.
If a page was deleted weeks ago and someone needs to know what it said, the live system cannot help. The Rewind MCP can surface that content directly, as a question: “Show me what this Confluence page said before it was deleted.” “Pull the version of this page from eight weeks ago.” The answer is there without having to dig through a dashboard.
Your backup has always captured the evidence. Now you can use it.
Content access for Jira and Confluence requires the integration’s Advanced or Enterprise plan.
Connect the Rewind Intelligence Engine to your stack. Read the documentation at docs.developer.rewind.com.
Want to talk through your setup? Talk to a resilience expert. https://rewind.com/book-a-demo/
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