GRCLibrary.ai

Standard

AI Inference Cost Governance Standard

This standard defines how the organization governs the cost of AI inference and training: budgeting, allocation, ceiling enforcement, model-choice criteria, monitoring, anomaly response, and reporting. AI costs are volatile and easily exceed forecasts; this standard ensures that AI use is economically rational and that runaway spend cannot occur silently.

Type
Standard
Version
0.0.11
Date
2026-10-27
Owner
AI Governance Approver
Approving authority
Governance Library Maintainer
Classification
Public
Confidentiality
Public
Category
AI Governance
Review frequency
Annual and upon material AI portfolio, provider-pricing, or capacity-planning change
Licence
CC BY-SA 4.0

Read the full text on GitHub (opens in a new tab)

Outline

  • 1. Purpose
  • 2. Scope
  • 3. Principles
  • 4. Budgeting and allocation
  • 5. Cost ceilings and rate limits
  • 6. Model-choice criteria
  • 7. Monitoring and anomaly response
  • 8. Feature lifecycle controls
  • 9. Agent and autonomous workflow controls
  • 10. Customer-facing cost transparency
  • 11. Provider-side cost-management
  • 12. Reporting
  • 13. Framework alignment
  • 14. Limitations

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