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June’s AI engine continuously analyzes your device fleet to provide intelligent insights, predictive recommendations, and automated alerts that help you maintain optimal device health and performance.

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What you’ll accomplish

  • Understand how June’s AI analyzes your device data
  • Learn to interpret device health insights and recommendations
  • Set up automated compliance monitoring
  • Customize AI preferences for your organization

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How AI Insights Work

June’s AI engine processes vast amounts of device data to identify patterns, predict issues, and generate actionable insights:

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Data Sources

  • Device health metrics and performance data
  • Historical usage patterns and trends
  • Compliance status and security posture
  • Industry benchmarks and best practices
  • Organizational policies and configurations

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Analysis Types

Predictive Analytics

Forecast potential issues before they impact users

Trend Analysis

Identify patterns in device performance and usage

Anomaly Detection

Spot unusual behavior that may indicate problems

Optimization Recommendations

Suggest improvements for better device management

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Device Health Insights

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Predictive Health Monitoring

June’s AI predicts potential device issues before they occur:

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Hardware Failure Prediction

  • Battery Health: Predicts when device batteries will need replacement
  • Storage Issues: Identifies devices approaching storage capacity limits
  • Performance Degradation: Detects declining performance trends
  • Component Failures: Anticipates hardware component failures

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Software Health Analysis

  • Update Compliance: Identifies devices at risk of security vulnerabilities
  • Application Issues: Detects problematic software installations
  • Configuration Drift: Identifies devices deviating from standard configurations
  • Performance Impact: Analyzes software impact on device performance

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Health Insight Categories

Immediate Action Required
  • Security vulnerabilities requiring urgent patching
  • Hardware failures affecting device functionality
  • Compliance violations with regulatory implications
  • Data loss risks from storage or backup issues
Attention Needed Soon
  • Devices approaching storage capacity limits
  • Performance degradation trends
  • Outdated software versions
  • Unusual usage patterns
Improvement Recommendations
  • Refresh cycle optimization suggestions
  • Cost-saving opportunities
  • Performance enhancement options
  • Workflow efficiency improvements
Preventive Measures
  • Recommended policy updates
  • Training opportunities
  • Process improvements
  • Industry benchmark comparisons

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Compliance Reports and Monitoring

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Automated Compliance Analysis

June’s AI continuously monitors compliance across multiple dimensions:

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Security Compliance

  • Patch Management: Tracks OS and application update status
  • Encryption Status: Monitors device encryption compliance
  • Antivirus Protection: Verifies security software status
  • Access Control: Analyzes user access and permissions

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Policy Compliance

  • Configuration Compliance: Compares device settings to organizational policies
  • Usage Policy Adherence: Monitors compliance with acceptable use policies
  • Data Protection: Ensures data handling compliance
  • Audit Requirements: Tracks compliance with regulatory requirements

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Compliance Insights Dashboard

The AI-powered compliance dashboard provides:
  • Compliance Score: Overall organizational compliance rating
  • Trend Analysis: Compliance trends over time
  • Risk Assessment: Potential compliance risks and their impact
  • Remediation Recommendations: Specific actions to improve compliance

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Setting Up Compliance Monitoring

1

Define Compliance Policies

  1. Navigate to Security & Compliance > Compliance Policies
  2. Define or import your organization’s compliance requirements
  3. Set compliance thresholds and acceptable risk levels
  4. Configure compliance monitoring frequency
2

Configure Monitoring Rules

Set up automated monitoring for:
  • Security patch compliance
  • Configuration standard adherence
  • Data protection compliance
  • Access control compliance
3

Set Alert Thresholds

Configure alerts for:
  • Compliance score drops below threshold
  • Critical compliance violations
  • Trending compliance issues
  • Regulatory deadline approaching
4

Establish Reporting Schedule

Set up automated compliance reporting:
  • Daily operational reports
  • Weekly trend summaries
  • Monthly executive dashboards
  • Quarterly compliance audits

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Acting on AI Recommendations

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Recommendation Types

June provides different types of AI-powered recommendations:

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Device Management Recommendations

  • Refresh Planning: Optimal timing for device replacements
  • Configuration Changes: Suggested policy or setting adjustments
  • Performance Optimization: Actions to improve device performance
  • Cost Management: Opportunities to reduce device-related costs

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User Experience Recommendations

  • Training Opportunities: Suggested user education based on usage patterns
  • Workflow Improvements: Process optimizations to enhance productivity
  • Tool Recommendations: Software or hardware suggestions for specific users
  • Support Interventions: Proactive support recommendations

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Implementing Recommendations

1

Review Recommendations

  1. Access the AI Insights dashboard
  2. Review recommended actions and their priority levels
  3. Understand the rationale behind each recommendation
  4. Assess the potential impact and resource requirements
2

Prioritize Actions

Prioritize recommendations based on:
  • Business impact and urgency
  • Resource availability
  • Risk reduction potential
  • Cost-benefit analysis
3

Create Action Plans

For each recommendation:
  • Assign responsible team members
  • Set implementation timelines
  • Define success metrics
  • Plan communication strategy
4

Track Implementation

Monitor progress on:
  • Recommendation implementation status
  • Measured impact of implemented changes
  • User feedback and satisfaction
  • Follow-up actions needed

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Customizing AI Preferences

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Adjusting AI Sensitivity

Customize how June’s AI analyzes your environment:
1

Access AI Settings

Navigate to Administration > AI & Insights > Settings
2

Configure Analysis Parameters

Adjust settings for:
  • Alert sensitivity levels
  • Prediction time horizons
  • Trend analysis periods
  • Anomaly detection thresholds
3

Set Organizational Context

Provide context to improve AI accuracy:
  • Business priorities and goals
  • Risk tolerance levels
  • Compliance requirements
  • Operational constraints
4

Define Exclusions

Specify devices or scenarios to exclude:
  • Test/development devices
  • Special use cases
  • Temporary configurations
  • Known acceptable anomalies

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Customizing Insight Categories

Tailor AI insights to your organization’s needs:

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Priority Levels

  • Critical: Immediate attention required
  • High: Action needed within 24-48 hours
  • Medium: Plan for resolution within a week
  • Low: Consider for future optimization

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Insight Types

  • Security-focused: Emphasize security and compliance insights
  • Performance-focused: Prioritize performance and efficiency insights
  • Cost-focused: Highlight cost optimization opportunities
  • User-focused: Emphasize user experience and satisfaction

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Notification Preferences

Configure how you receive AI-generated insights:
  • Critical security issues
  • Device failures
  • Compliance violations
  • Performance emergencies
  • New insights and recommendations
  • Trending issues
  • Implementation progress
  • Key metrics updates
  • Comprehensive insight analysis
  • Progress on recommendations
  • Compliance status updates
  • Performance trends
  • Strategic recommendations
  • ROI analysis of implemented changes
  • Long-term trend analysis
  • Executive summaries

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Advanced AI Features

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Machine Learning Optimization

June’s AI continuously improves through machine learning:
  • Pattern Recognition: Learns from your organization’s unique patterns
  • Recommendation Refinement: Improves suggestions based on feedback
  • Predictive Accuracy: Enhances prediction accuracy over time
  • Anomaly Detection: Becomes more accurate at detecting true anomalies

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Integration with Workflows

AI insights integrate seamlessly with June’s workflow features:
  • Automated Remediation: Trigger automated actions based on AI insights
  • Approval Workflows: Route recommendations through appropriate approval processes
  • Escalation Procedures: Automatically escalate critical insights
  • Task Management: Create tasks and assignments from AI recommendations

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Measuring AI Impact

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Key Performance Indicators

Track the effectiveness of AI insights:
  • Mean Time to Detection (MTTD): How quickly issues are identified
  • Mean Time to Resolution (MTTR): How quickly issues are resolved
  • Prediction Accuracy: Percentage of accurate predictions
  • Recommendation Adoption: Rate of AI recommendation implementation
  • Cost Savings: Quantifiable savings from AI-driven optimizations

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ROI Analysis

Measure the return on investment from AI insights:
1

Baseline Metrics

Establish baseline measurements before AI implementation
2

Track Improvements

Monitor improvements in:
  • Device uptime and reliability
  • Security incident reduction
  • Compliance score improvements
  • User satisfaction scores
3

Calculate Savings

Quantify savings from:
  • Reduced downtime costs
  • Prevented security incidents
  • Avoided compliance penalties
  • Optimized refresh cycles
4

Report Value

Regular reporting on AI-driven value creation

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Best Practices

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Maximizing AI Effectiveness

AI Optimization Tips

  • Data Quality: Ensure accurate and complete device data
  • Regular Review: Periodically review and act on AI insights
  • Feedback Loop: Provide feedback on recommendation effectiveness
  • Continuous Learning: Stay updated on new AI features and capabilities

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Organizational Adoption

  • Start Small: Begin with high-impact, low-complexity recommendations
  • Build Trust: Demonstrate AI value through successful implementations
  • Educate Teams: Train staff on interpreting and acting on AI insights
  • Iterate and Improve: Continuously refine AI settings based on results

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Troubleshooting AI Insights

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Common Issues

  • Verify data quality and completeness
  • Check for environmental changes affecting patterns
  • Adjust AI sensitivity settings
  • Provide additional context or exclusions
  • Reduce alert sensitivity
  • Refine notification preferences
  • Implement alert grouping
  • Focus on critical insights only
  • Ensure sufficient data collection
  • Check AI processing status
  • Verify integration connections
  • Review configured monitoring rules

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Next Steps

To maximize the value of AI insights:

Smart Automation

Set up automated agents to act on AI insights

Custom Dashboards

Create dashboards featuring AI insights and recommendations

Workflow Integration

Integrate AI insights into your existing workflows

Advanced Analytics

Dive deeper into AI-powered analytics and trending
AI insights improve over time as the system learns from your organization’s patterns and feedback. Regular interaction with AI recommendations helps improve their accuracy and relevance.
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