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

None

No capabilities marked yet. This score reflects an empty checklist, not your organization — mark the capabilities you have below.

Readiness index (0–100), an internal PromptFluent score combining capability coverage and maturity.

10
Critical Gaps
13
High Priority
0
Low Maturity
Readiness by Dimension
Data Capture0.0%
Storage & Retention0.0%
Processing & Analysis0.0%
Visualization & Dashboards0.0%
Alerting & Monitoring0.0%
Integration & APIs0.0%

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 of your owned capabilities are below maturity 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

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

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

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

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

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

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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