| Attribute coverage (active identities) | Show me all user attributes and create a table with attribute type, number of values, and % of active users with values. | A table listing each HR/custom attribute, its number of unique values, and coverage across active human identities. | Know which fields are reliable for policy segmentation; avoid sparse attributes. |
| Org hierarchy | Return a tree-based diagram showing how key attributes relate to each other — that is, my organization hierarchy. Include user counts at each level. | A text-based tree of org structure (e.g., business unit → department → team) with user counts. | Understand how deep your org goes before deciding policy granularity. |
| Reporting chain for a leader | Give me every department that reports up to [manager name or email]. | A list of departments rolling up to that leader, with user counts per department. | Scope policies, reviews, or audits to a single leader’s organization without guessing the boundary. |
| Org chart for a person | Create a text-based tree showing the reporting structure starting with [individual email address]. | A reporting tree centered on that person, including direct and indirect reports. | See span of control when designing approvals and least-privilege decisions. |
| Department roster | Who is in the [department name] department? Include manager and worker type for each person. | A roster of people in the department with manager and worker-type context. | Validate department membership before scoping a policy to that group. |
| Manager lookup | Who is [person's name]'s manager, and how many direct reports does that manager have? | The manager’s name, title, and direct-report count. | Quick sanity check when investigating a specific user’s access or designing an approval flow. |
| Top apps by user count | What are the top 10 apps by user count? Mark which look like core company-wide apps vs. team-specific. | A ranked table of the most-assigned apps with a “core vs. niche” label. | Identify your must-have birthright candidates in one glance. |
| Top access requests | Which apps have the highest number of access requests in the last quarter? Show the top 10 with app name and request count. | A ranked table of the top 10 apps by request volume. | Focus policy and automation work where ticket pain is concentrated. |
| App deep-dive | Show me the access patterns for [App Name] — who has it, how they break down by team and employee type, and how much it's actually being used. | A summary of assignment, usage, and segmentation for the app. | Build context on a single app before drafting policies or anomaly reviews. |
| Look up an individual | Who is the Head of [Function], and what apps and entitlements do they have? | The person’s profile and their access. | Quickly validate that key personas have the access you’d expect. |
| See what Albus has learned | Show me my memories. | A list of every fact, naming convention, and exclusion rule you’ve taught Albus. | Audit and clean up Albus’s stored context so future recommendations reflect your current environment. |
