AI-powered / App Discovery & Catalog

    Know the apps students use.
    Build a better review queue.

    Bring discovered applications into view and organize your district's catalog. AI-powered insights help surface high-reach applications that need review, with category, approval status, adoption, and content-risk context.

    A view inside the product

    Application reach, content risk, and review status

    iboss application discovery bubble chart comparing application reach and content risk, with a legend for discovered, cataloged, in-review, approved, and unapproved applications.

    Illustrative sample data. The discovered-app view pairs an AI-powered summary with application reach, content risk, and catalog status to help focus district review.

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    Visibility with context

    Move from an unknown app to an informed review

    Combine an inventory of observed applications with catalog coverage and student usage context to guide your district's approval process.

    Discover and inspect applications

    Use AI-powered review priorities alongside the discovered-app inventory to understand what students are accessing.

    • Application category, student reach, adoption, and risk score
    • Detail links for closer application inspection
    • Search and category, status, and risk filters
    • Adoption sorting and CSV export

    Organize your application catalog

    AI-powered summaries help highlight gaps between observed use and the district's catalog. Cataloging assigns an approval status and an optional license.

    • Distinct discovered, cataloged, in review, approved, and unapproved statuses
    • Catalog coverage breakdown
    • A Needs attention queue for high-reach apps not yet approved
    • Optional license context for cataloged applications

    Weigh reach alongside content risk

    AI-powered priorities complement a reach-versus-content-risk view, helping reviewers consider how widely an application is used as well as its reported risk.

    • Reach-versus-content-risk visualization
    • Student reach represented by bubble size
    • Clickable application inspection affordances
    • Risk scores to help prioritize district review

    Understand who is using each app

    Connect AI-powered adoption insights to an application-user inventory for a more specific review of observed use.

    • Applications used and most-used application by student
    • Interaction and request counts
    • Application drilldown links
    • Student reach context for curriculum and technology teams

    Built around your review

    A practical starting point for district app review

    AI-powered insights help focus the work. Your team brings the educational, financial, and privacy context that makes the decision meaningful.

    1. Find uncataloged use

      Search discovered applications and filter by category, approval status, and reported risk.

    2. Prioritize the queue

      Consider AI-powered insights, student reach, and the Needs attention view to choose applications for closer review.

    3. Apply district review

      Evaluate instructional fit and privacy requirements through your district's existing process, including DPA review where needed.

    4. Record the catalog decision

      Assign an approval status and optionally associate a license, then use catalog coverage to guide future review.

    District context matters

    Give district DPA review a clearer starting point

    The discovered-app inventory helps your district identify applications and vendors that may need a Data Privacy Agreement (DPA) review. Use reach, catalog status, and content-risk context to prioritize that work, then apply your district's privacy, agreement, and approval process.

    Questions, answered

    A closer look at
    App Discovery & Catalog

    How do discovery, cataloging, and approval differ?

    Discovery identifies observed use. Cataloging organizes the application and assigns an approval status, with an optional license. Distinct discovered, cataloged, in review, approved, and unapproved statuses help teams track applications through district review.

    How does this support district DPA review?

    The inventory and review queue help districts identify applications and vendors to assess through their privacy and DPA process. Student reach, category, and catalog status provide context for prioritizing that review.

    How should reviewers use content-risk scores?

    Use content-risk scores alongside student reach to prioritize inspection. Bring vendor privacy practices, agreement requirements, and instructional suitability into your district's approval decision.

    Your district. Your questions.

    See AI-powered EdTech intelligence in a demo

    Walk through the capabilities that matter to your district. Discuss application review, license information, reporting coverage, and the insights your teams need.