Intune Management

Professional Concept: Intune Management for Modern Workplaces

This concept outlines a structured approach to managing Microsoft Intune in highly complex environments, supporting multiple scenarios such as Azure Virtual Desktop (AVD), hardware clients, multisession environments, and Autopilot deployments.

Key Aspects

• Multiple Environments: Strategies for managing diverse device types and deployment models.
• Policy Management: Establishing a clear naming convention for policies to ensure consistency and traceability.
• Assignments and Filtering: Best practices for assigning policies to devices and users, utilizing multiple filters for granular targeting.
• Multisession Considerations: Addressing the unique requirements of multisession environments.
• Autopilot Considerations: Special handling and configuration for Autopilot scenarios.

Recommended Naming Convention

Use a predictable, sortable pattern:

<Scope>-<Platform>-<PolicyType>-<Purpose>-<Version>

Examples:

• CORP-WIN-Config-DeviceBaseline-v3
• LAB-WIN-Security-BitLocker-v1

Assignment Strategy

1. Group by intent, not by org chart: Deploy to device collections that reflect configuration goals (Baseline, Secured, Lab).
2. Layer with filters: Separate filters for hardware type, enrollment method, ownership, and user risk.
3. Staged rollout: Pilot → PreProd → Prod with identical policy names and incrementing versions.

Multisession & AVD Notes

• Prefer device scope policies to avoid per-user drift.
• Tune sign-in frequency and session limits explicitly.
• Combine AppLocker baselines with FSLogix profiles and profile location exclusions.
• Keep a rollback policy ready (disabled by default) to revert critical settings if sessions fail.

Autopilot Checklist

• Validate hardware hash imports and group tags.
• Provide pre-provisioning profiles for OEM/white-glove.
• Ensure ESP stages align with network speed; break installs into critical vs. deferred.
• Document end-user steps (language, Wi-Fi, expected duration) to reduce support tickets.

Operational Guardrails

• Store policy definitions in version control; track changes via pull requests.
• Run scheduled compliance reviews: drift detection, stale policies, filter overlap.
• Establish break-glass accounts and test recovery paths quarterly.
• Monitor policy deployment metrics (success rate, average apply time) and tie alerts to anomalies.

This approach keeps Intune manageable as environments scale and ensures that AVD, hardware, and Autopilot scenarios stay predictable even as requirements evolve.