Atlassian Apps / Confluence

AI Readiness & Content Hygiene Inspector for Confluence

AI-assisted workflows are only as reliable as the content they read. This app helps Confluence space admins scan one space at a time, flag likely hygiene risks under the current policy, and run a review workflow before those pages are relied on more heavily.

  • 100% Forge-based
  • No external network egress
  • Forge hosted storage only
  • App-context background scans

Public Material

Marketplace buyers, procurement reviewers, and admins usually need more than a feature summary. These links keep the trust, support, and legal material close to the app page.

Why This Matters

Garbage in, garbage out.

If AI-assisted search, summaries, or agent workflows rely on obsolete, incomplete, or conflicting content, the answers become less trustworthy. The app helps teams surface those hygiene risks in a repeatable way.

Erosion of trust in AI

If AI consistently provides inaccurate or outdated answers derived from flawed data, teams will quickly lose confidence.

Poor decision-making

Relying on AI outputs built from obsolete policies or temporary drafts can lead to operational errors and compliance risks.

Manual remediation is unsustainable

For active Confluence environments, manual audit and cleanup of content is a perpetual, unmanageable task.

What The App Does

Space-scoped hygiene review for Confluence pages.

Background space scans

Scans current pages in one Confluence space at a time and keeps progress available while the worker continues in the background.

Configurable hygiene policies

Admins can use the shipped presets or tune stale days, minimum text length, score threshold, and detection rules for the space.

Explainable findings

Flagged pages include a score, severity, top signals, and a recommendation so the reviewer can see why the page was surfaced.

Clear review states

The app separates `Needs review`, `Ignored`, `Approved`, and `No issues detected` so admins can tell unflagged pages apart from explicit review decisions.

Space-scoped safeguards

Bootstrap and remediation actions stay tied to the current space, and label actions validate that the target page belongs to that space.

Governance label workflow

The app can apply or remove rovo-ignore as part of the review flow if your team uses that label in its own governance process.

How It Works

Simple for the admin. Structured behind it.

The workflow stays short: tune the policy, start the scan, review the findings, and decide which pages should remain in normal review scope.

  1. Open it from Confluence Space Settings

    Start in the space where the review is needed.

  2. Set the review policy

    Choose a preset or tune stale days, minimum text, score thresholds, and detection rules.

  3. Start a background scan

    The scan continues in the background and persists its progress.

  4. Review findings by status

    Work through open, ignored, approved, or all findings with the signal summary visible.

  5. Apply governance where needed

    Use rovo-ignore only if your team wants that label as part of its own review convention.

Security And Privacy

Trust starts with a narrow architecture.

This page can stay specific because the app's architecture is specific. The app runs on Forge, stays inside Atlassian-managed infrastructure, and avoids external data egress.

Runs entirely on Atlassian Forge

The app does not depend on external servers or vendor-run infrastructure to do its job.

No external network egress

Confluence data is not sent to third-party AI services, analytics, or outside processors.

Forge hosted storage only

App state is stored in Forge storage rather than in a separate external database. Data residency behavior follows Forge platform capabilities and Atlassian controls.

User-context access

Interactive requests run as the current user and remain bound to Confluence permissions.

App-user background execution

Queued scan continuation runs as the Forge app user, and Confluence permissions and restrictions still apply.

Minimal documented scopes

The app requests scopes for app storage, space reads, page reads, and Confluence content writes used for label changes.

Data Handling And Retention

Specific about what is read and kept.

The app reads only what it needs to score content hygiene and stores the workflow state needed to continue scans and review findings.

  • What the app reads

    Confluence page content, page metadata, labels, and space metadata needed to score stale, thin, placeholder-like, or otherwise low-trust content.

  • What the app stores

    Scan metadata, checkpoints, policy settings, finding records, statuses, and per-page decisions.

  • What it does not keep

    The app stores derived workflow data, not a full external copy of the space, and it does not persist raw page bodies in Forge storage.

  • User-linked identifiers

    The app does not persist Atlassian account identifiers in scan or decision workflow records.

  • Retention

    Scan artifacts and findings use Forge TTL expiry. The current implementation keeps them for 30 days.

Performance And Scale

Built for real spaces.

The app does the heavier work in background batches so the review flow stays responsive and the scan can advance without a fragile long-running browser session.

Queue-backed background scans

Longer scans continue in the background instead of blocking on an open browser tab.

Checkpointed progress

Progress and batch state are persisted so work can resume safely across async runs.

Review stays responsive

Admins review findings separately from scan execution rather than waiting on one long pass.

Designed for more than a tiny test space

The scan works through spaces in batches and keeps findings and status available as the review continues.

Important Product Notes

Clear where the boundaries are.

  • Space admin only

    Only Confluence space administrators can use the app.

  • Active subscription required

    The app checks for an active Marketplace subscription when licensing data is present.

  • rovo-ignore is not a native Rovo exclusion control

    Treat it as a governance convention for custom instructions and review workflows, not as a documented Atlassian-native feature.

  • Actions stay in the current space

    The app validates that label actions target pages in the current space before applying them.

  • Audit visibility depends on Atlassian behavior

    Do not assume every action will appear in native Confluence audit logs in the same way.

Pricing

Clear, per-seat pricing.

The pricing scales with your Confluence user tier. These rates are indicative Marketplace rates per user, per month.

Confluence users Price
Up to 10 users Free
11-100 users USD 2.99
101-250 users USD 1.79
251-1,000 users USD 0.99
1,001-2,500 users USD 0.69
2,501-5,000 users USD 0.39
5,001-7,500 users USD 0.19
7,501-10,000 users USD 0.11
10,001-15,000 users USD 0.08
15,001-20,000 users USD 0.07
20,001-25,000 users USD 0.06
25,001-30,000 users USD 0.05
30,001-35,000 users USD 0.04
35,001-40,000 users USD 0.03
40,001-45,000 users USD 0.02
45,000+ users USD 0.01

FAQ

Questions a careful buyer will ask.

  • Does the app send Confluence content to external AI providers?

    No. The current architecture avoids external network egress and does not intentionally send Confluence data to third-party AI services or external infrastructure.

  • Where is app data stored?

    In Forge hosted storage only.

  • What exactly is retained?

    Derived finding data, workflow state, checkpoints, policy settings, and decision state needed to continue scans and support review workflows.

  • Does No issues detected mean a page was approved?

    No. It means the page was not flagged under the current policy. Approved is a separate explicit review state.

  • How long is scan data kept?

    Scan artifacts and findings use TTL-based expiry. The current implementation keeps them for 30 days.

  • Does the app bypass Confluence permissions?

    No. Interactive requests remain user-bound, and background scans run as the app user within the Confluence permissions and restrictions granted to that app user.

  • Can a scan keep running after the screen is closed?

    Yes. The scan is queued, processed in the background, and resumes from persisted progress.

  • Is rovo-ignore a native Atlassian exclusion mechanism?

    No. It is a governance label the app can manage as part of the review workflow, not a documented Atlassian-native exclusion mechanism.

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