Approved 2025/09/26 17:52 by ddehamer (version: 1) | Approver: @ai-us-principals
Potential Monitoring Plan
Overview
This Azure AI Monitoring and Reporting Plan provides enterprise-grade visibility, accountability, and operational assurance for AI workloads running in Microsoft Azure. Designed for applications leveraging services like Azure OpenAI, Speech, Language, and Cognitive APIs, this plan ensures your AI solutions remain secure, reliable, and performance-optimized.
Goals
Proactively monitor AI system health, latency, and errors
Ensure SLA compliance and minimize downtime
Provide actionable performance and usage insights
Enable cost transparency and anomaly detection
Secure sensitive data and track access
Scope of Monitoring
| Area | Monitored Item |
| AI Services | OpenAI (GPT), Speech, Language, Vision, etc. |
| Performance | Latency, token usage, call frequency, timeouts |
| Reliability | HTTP error rates, dependency failures |
| Security | Key Vault access, secret usage, auth events |
| Cost Tracking | Resource consumption and budget alerts |
| Custom Metrics | AI response accuracy, sentiment scores, etc. |
Implementation Approach
Azure Monitor Integration
Real-time tracking of latency, usage, errors
Application Insights or custom telemetry
Diagnostic Settings
Alerts and Notifications
Dashboards and Visualization
Azure Workbooks with real-time and historical metrics
KPI charts for token usage, sentiment trend, etc.
Weekly/Monthly Reports
Security & Compliance
Access monitoring for Key Vault and secrets
RBAC enforcement on logs and diagnostics
Optional integration with Microsoft Defender for Cloud
Deliverables
Baseline monitoring template for all AI services
Custom alerts and dashboards tailored to client KPIs
Weekly AI health check report (PDF or Power BI)
Optional cost optimization and usage analysis
Optional Add-ons
GPT behavior audits (accuracy, bias, hallucinations)
Compliance logging for regulated industries (HIPAA, GDPR)
Integration with ServiceNow, PagerDuty, or Slack for alerting
