Your wiki isn’t old. It’s wrong — in places you can’t see.
Evergreen AI semantically audits your Confluence knowledge base and surfaces the pages most likely to be wrong — each with quoted evidence and a confidence score.
Timestamp-based lifecycle tools flag the 400 pages nobody has touched, while the page that says “deploy with Jenkins” three years after you moved to GitHub Actions sails through — because someone fixed a typo on it last week. Evergreen AI reads what your pages actually say.
It surfaces the handful of pages most likely to be wrong — with evidence — not the hundreds that are merely old.
What it finds
- Outdated facts — claims contradicted by newer pages in your own tenant.
- Expired by their own terms — “valid until Q3 2025,” “during the migration (ends March).”
- Deprecated references — tools, systems, and processes your other pages say you’ve replaced.
- Contradictions — two current pages that can’t both be right, linked as a pair.
- Internal incoherence — pages that disagree with themselves.
- Stale ownership — “contact Jane for access” where ownership likely moved on — always phrased as something to verify, never asserted.
Built for precision, not noise
Every finding carries verbatim quoted evidence, the specific reasoning, and a confidence score — defensible to any page owner. Below its confidence threshold, the app says nothing: an empty “all clear” is a feature, not a gap. Dismiss a finding once with a reason and Evergreen AI remembers — it won’t raise the same thing again. A second verification pass re-checks borderline findings before you ever see them.
Make your knowledge base safe for AI
When source content is stale, AI assistants can generate outdated or incomplete answers over your wiki. Evergreen AI is the audit layer that helps keep AI-over-Confluence trustworthy — by finding the source pages most likely to be wrong before they mislead a reader or a model.
Runs on Atlassian — zero egress
All analysis happens inside Atlassian’s infrastructure. Page content is processed by Atlassian-hosted models (Forge LLMs) inside Atlassian infrastructure and is never sent to any third party by this app. There are no external servers, no analytics SDKs, and no API keys to manage. The app is built to qualify for the Runs on Atlassian badge — the zero-egress posture security teams look for.
See the full Security & data handling and Privacy details.
Read-only on your page content
Evergreen AI never modifies, archives, or deletes the body of a page. Its only writes are its own findings, assignments, and — only when an administrator turns them on — an optional page-level audit-status indicator and an optional assignment comment that @mentions an assignee. Administrators choose exactly which spaces are analyzed; nothing is scanned until a space is explicitly selected. Server-side monthly budget caps make AI spend a hard wall — degraded behavior is “scan fewer pages and tell the admin,” never “spend more.”
Pricing
Free for teams of ten or fewer. Paid plans are billed per user through the Atlassian Marketplace, with a free trial. Exact pricing is shown on the Marketplace listing at launch.
Coming to the Atlassian Marketplace. Evergreen AI for Confluence is preparing for launch. For early-access enquiries or questions about the app, get in touch — see Support.
Contact & support