Practical Proactive Experience (DEX) Controls for Microsoft Intune

#Current Method

Traditional endpoint management often relies on reactive break-fix cycles. Administrators wait for helpdesk tickets or user complaints before identifying device health issues. This approach creates significant latency between symptom onset and resolution, leading to increased downtime and reduced user productivity. In many organisations, visibility into device performance is limited to basic inventory data, lacking the contextual telemetry required to predict failures.

The current method typically involves manual investigation of individual devices after a failure has occurred. This process is labour-intensive, inconsistent and prone to human error. Without proactive controls, subtle degradation in device performance remains undetected until it critically impacts business operations. The absence of standardised remediation workflows means that even when issues are identified, resolution times vary widely depending on the administrator’s expertise.

#Improved Workflow

A proactive experience workflow shifts the operational model from reactive to predictive. By leveraging Microsoft Intune

’s remediation capabilities, administrators can define specific health checks that run automatically on managed devices. These checks evaluate device state against defined thresholds and trigger automated corrections when deviations are detected.

The improved workflow consists of three distinct phases: detection, remediation and verification. Detection involves running lightweight scripts that gather telemetry on key performance indicators such as disk space, service status or application health. Remediation applies predefined corrective actions only when specific conditions are met, ensuring changes are bounded and safe. Verification confirms that the remediation succeeded and logs the outcome for audit purposes.

This approach reduces mean time to resolution by addressing issues before they impact users. It also standardises operational responses, ensuring consistent outcomes regardless of which administrator is on duty. The workflow is designed to be iterative, allowing teams to refine detection logic and remediation steps based on observed results.

#Implementation

Implementing a proactive experience control requires careful planning and testing in a non-production environment. The following steps outline a reproducible implementation for a disk space remediation workflow, a common source of user friction.

1. Define the Detection Script: Create a PowerShell script that checks free disk space on the system drive. The script should return a non-zero exit code if free space falls below a defined threshold, such as 10%.
2. Define the Remediation Script: Create a second PowerShell script that performs safe cleanup operations, such as clearing temporary files or emptying the recycle bin. This script must be idempotent and avoid deleting user data.
3. Create the Remediation Policy: In the Microsoft Intune admin centre, navigate to Devices > Remediations. Create a new policy and upload both scripts. Configure the schedule to run daily during off-peak hours.
4. Assign to Test Group: Assign the policy to a small pilot group of non-critical devices. Do not deploy to the entire organisation until validation is complete.
5. Monitor Initial Runs: Observe the first few execution cycles in the Intune portal. Verify that detection logic correctly identifies low-disk scenarios and that remediation resolves them without errors.

#Guardrails

Safety boundaries are critical when automating device changes. The following guardrails must be enforced to prevent unintended consequences:

• Scope Limitation: Always start with a pilot group of less than 10 devices. Never deploy untested remediation policies to all users.
• Read-Only First: Initially configure the policy in detection-only mode to gather baseline data without making changes. Only enable remediation after confirming detection accuracy.
• Least Privilege: Ensure scripts run with the minimum permissions required. Avoid using system-level accounts unless absolutely necessary for the specific task.
• Change Control: Document every script change and policy update. Maintain a version history to facilitate rollback if a new version introduces errors.

#Validation

Observable success criteria must be defined before deployment. For the disk space example, validation includes:

• Detection Accuracy: Confirm that the detection script correctly identifies devices with less than 10% free space and ignores those above the threshold.
• Remediation Efficacy: Verify that free space increases by at least 5% after remediation on targeted devices.
• Error Rate: Monitor the failure rate of remediation scripts. A failure rate above 5% indicates a need for script refinement.
• User Impact: Check helpdesk ticket volume for disk-related issues. A successful implementation should show a measurable decrease in such tickets over four weeks.

#Common Mistakes

Operators often encounter pitfalls when implementing proactive controls. Avoid these common errors:

• Overly Aggressive Thresholds: Setting detection thresholds too high can trigger unnecessary remediation, causing performance overhead. Base thresholds on historical data rather than arbitrary values.
• Lack of Rollback Plan: Failing to define how to reverse a remediation action can lead to prolonged outages if a script behaves unexpectedly. Always have a manual recovery procedure ready.
• Ignoring Context: Some devices may have legitimate reasons for low disk space, such as video editing workstations. Exclude these roles from generic remediation policies.
• Insufficient Testing: Deploying to production without adequate pilot testing risks widespread disruption. Use the pilot phase to identify edge cases and script bugs.

#Recovery

If a remediation policy causes unexpected issues, immediate recovery steps are required. The following procedure ensures safe restoration of device state:

1. Disable the Policy: Immediately unassign the remediation policy from all groups in the Intune portal to stop further executions.
2. Assess Impact: Identify affected devices and determine the nature of the issue. Check Intune logs for error codes and script output.
3. Manual Correction: For devices where automated recovery is not possible, perform manual cleanup or configuration resets using standard administrative tools.
4. Root Cause Analysis: Investigate why the script failed or caused harm. Update the script logic to address the identified issue.
5. Re-test in Pilot: Before re-deploying, test the corrected script in the pilot group to confirm the fix.

#Measurable Outcome

The success of a proactive experience workflow is measured by operational efficiency and user satisfaction. Key metrics

include:

• Reduction in Reactive Tickets: Track the number of helpdesk tickets related to the specific issue addressed. A 50% reduction within three months is a realistic target.
• Device Health Score: Monitor aggregate device health metrics in Intune. Improved scores indicate better overall fleet stability.
• Remediation Success Rate: Aim for a success rate above 90% for automated remediations. Lower rates suggest the need for script refinement or scope adjustment.
• Time Saved: Estimate administrative hours saved by avoiding manual troubleshooting. This metric helps justify continued investment in proactive controls.

#Operational Checklist

Use this checklist to ensure consistent implementation and maintenance of proactive experience controls:

• Verify detection script logic against current platform versions.
• Confirm remediation script idempotency and safety boundaries.
• Ensure policy is assigned only to validated pilot groups.
• Review remediation logs weekly for errors or anomalies.
• Update thresholds quarterly based on changing usage patterns.
• Document all changes in the central configuration management
  The KBY Lexicon

  Configuration Management

  Configuration Management defines, applies and audits the intended state of infrastructure and software, detecting drift and providing a traceable record of configuration change.

  Read Full Context
  database.
• Conduct post-incident reviews for any failed remediation attempts.

#Prerequisites and Permissions

Before configuring remediation policies, confirm that the tenant holds the appropriate Intune licensing tier that supports proactive remediations, as this capability is not included in every subscription level. The administrator account performing configuration requires assignment to the Intune Administrator or Policy and Profile Manager role, scoped via Azure AD role-based access control. Devices must be enrolled in Intune and marked as Intune-managed, with the Microsoft Endpoint Manager device management agent reporting a healthy check-in status within the preceding 24 hours. Confirm that the target device group is a dynamic or assigned Azure AD security group rather than a distribution list, as remediation policies cannot target the latter.

Script execution depends on the device’s PowerShell execution policy configuration. Where devices enforce restricted execution policies, the Intune management extension bypasses this constraint automatically when running signed remediation packages, but administrators should still verify that the management extension service, IntuneManagementExtension, is installed and running on pilot devices using Get-Service -Name IntuneManagementExtension. Absence of this service indicates the device has not yet received policy assignment or has failed initial sync.

#Configuration Detail for Script Deployment

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Script Signing and Encoding Requirements

Detection and remediation scripts uploaded to the Remediations blade must be UTF-8 encoded without a byte order mark, as encoding mismatches cause silent execution failures that do not surface as explicit errors in the console. Scripts should avoid interactive prompts or GUI dependencies, since remediation packages execute under the SYSTEM context in a non-interactive session by default. When configuring the policy, the “Run this script using the logged-on credentials” toggle should remain disabled unless the remediation specifically requires access to the user’s registry hive or profile-scoped configuration.

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Scheduling Considerations

Daily recurring schedules should account for device time zone variance across a distributed fleet. Configure the schedule using UTC-based logic within the script itself where feasible, rather than relying solely on the Intune schedule configuration, to avoid inconsistent execution windows across regional offices.

#Expected Evidence and Telemetry

After deployment, administrators should expect to see per-device status entries in the Intune portal under Devices > Remediations > policy name > Device status, showing detection state as either “With issues” or “Without issues” alongside a remediation state of “Succeeded” or “Failed”. Successful runs populate a timestamp for both detection and remediation execution. For deeper telemetry, exporting results to Log Analytics via diagnostic settings allows querying with Kusto Query Language against the DeviceRemediationEvents or equivalent workspace table, enabling trend analysis over rolling seven-day and thirty-day windows.

#Monitoring and Alerting Thresholds

Establish a recurring review cadence rather than relying solely on ad hoc checks. Configure an alert rule against the remediation failure count metric so that any pilot group exceeding three consecutive failed runs on the same device triggers a notification to the operations distribution list. At fleet scale, a rolling daily failure rate exceeding 8% across an assigned group should be treated as an escalation trigger warranting immediate policy suspension pending investigation, distinct from the general 5% threshold used for ongoing script refinement decisions.

#Realistic Failure Symptoms

Common failure patterns include the detection script returning an exit code of 0 despite an unhealthy state, typically caused by unhandled exceptions within a try/catch block that silently swallow errors. Another frequent symptom is remediation scripts reporting success in the portal while the underlying condition persists, often due to the script checking a cached variable rather than re-querying live disk state after cleanup. Devices that appear stuck in a perpetual “Pending” status usually indicate a stalled management extension sync, resolvable by forcing a device check-in through the Company Portal app or the Get-WindowsUpdateLog equivalent sync command.

#Change-Control Records

Every remediation policy change should generate a corresponding entry in the change management system, capturing the policy name, script version hash, approving reviewer, pilot group scope and planned expansion date. Retain previous script versions in source control with descriptive commit messages, enabling administrators to reference a specific prior version number when performing rollback rather than relying on manual reconstruction of earlier logic.

#Escalation Thresholds

Define a tiered escalation model: routine anomalies affecting fewer than three pilot devices are handled by the on-duty administrator within standard hours; failures affecting more than 15% of an assigned production group should be escalated to the endpoint engineering lead within one business hour; and any remediation causing data loss or service disruption regardless of scale triggers immediate policy suspension and incident declaration.

#Safe Rollback Actions

Where a policy has already reached production scope, rollback should proceed by first removing the group assignment rather than deleting the policy outright, preserving historical run data for root cause analysis. Restore the previous script version from source control and republish as a new policy revision rather than editing in place, maintaining an auditable trail. Devices that received a faulty remediation should be flagged for manual verification before being re-included in any subsequent pilot wave.