AI Telemetry Readiness Audit

Assess your organization's ability to capture, analyze, and act on AI usage data. Build the foundation for AI Execution Intelligence.

Overall Telemetry Readiness

0.0%

None

No telemetry infrastructure - starting from scratch

Telemetry Maturity by Dimension

Six key dimensions of AI telemetry infrastructure

Data Capture:0.0%
Storage & Retention:0.0%
Processing & Analysis:0.0%
Visualization & Dashboards:0.0%
Alerting & Monitoring:0.0%
Integration & APIs:0.0%

Gap Analysis

Missing capabilities and maturity gaps

Critical Gaps10

Missing 10 of 10 critical capabilities

High Priority Gaps13

Missing 13 of 13 high priority capabilities

Low Maturity0

0 capabilities with maturity below level 2

Implementation Priority

  1. Address all 10 critical gaps first
  2. Improve maturity of existing capabilities to level 3+
  3. Fill high priority gaps
  4. Add medium priority capabilities

Data Capture

6 capabilities • Weight: 1.5x

0.0%

Dimension Score

AI tool usage logging (who, when, which tool)

Critical

Prompt and query capture

Critical

AI output capture

High

Token/cost tracking per request

Critical

User edit tracking (AI output → final version)

High

Model version and parameters logging

Medium

Storage & Retention

5 capabilities • Weight: 1.2x

0.0%

Dimension Score

Structured database for AI telemetry

Critical

Data retention policies (30/90/365 days)

High

Secure storage with encryption

Critical

Data anonymization/pseudonymization

High

Archival and long-term storage

Medium

Processing & Analysis

5 capabilities • Weight: 1.4x

0.0%

Dimension Score

Usage pattern analysis

Critical

Cost aggregation and attribution

Critical

Quality metrics (edit rate, acceptance rate)

High

Anomaly detection

High

Trend analysis and forecasting

Medium

Visualization & Dashboards

4 capabilities • Weight: 1.1x

0.0%

Dimension Score

Real-time usage dashboards

High

Cost dashboards by team/user/tool

Critical

Quality and performance metrics dashboards

High

Executive summary reports

High

Alerting & Monitoring

4 capabilities • Weight: 1.3x

0.0%

Dimension Score

Cost threshold alerts

Critical

Unusual usage pattern alerts

High

Quality degradation alerts

High

Policy violation alerts

Critical

Integration & APIs

4 capabilities • Weight: 1x

0.0%

Dimension Score

Integration with BI tools (Tableau, PowerBI)

Medium

API for programmatic access

High

Integration with SIEM/SOC

High

Export to data warehouse/lake

Medium

Implementation Roadmap

Phase 1: Critical Capabilities (Weeks 1-4)

  • AI tool usage logging (who, when, which tool)
  • Prompt and query capture
  • Token/cost tracking per request
  • Structured database for AI telemetry
  • Secure storage with encryption
  • + 5 more critical capabilities

Phase 3: High Priority Gaps (Weeks 9-12)

  • AI output capture
  • User edit tracking (AI output → final version)
  • Data retention policies (30/90/365 days)
  • Data anonymization/pseudonymization
  • Quality metrics (edit rate, acceptance rate)
  • + 8 more high priority capabilities

Phase 4: Optimization & Scale (Ongoing)

  • Achieve level 4 maturity across all dimensions
  • Add advanced analytics and ML capabilities
  • Implement predictive monitoring
  • Build executive intelligence dashboards

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