When the user wants to AI agent cost management — token budgeting, model tier selection, cost alerting, optimization — with enterprise governance including department-level budgets, cost center allocation, and executive cost reporting.
A structured framework for managing AI agent costs. Covers token budgeting methodologies, model tier selection strategies, cost alerting systems, optimization techniques, department-level budget allocation, cost center tracking, and executive cost reporting.
Load enterprise-marketing-context to establish compliance requirements, technology stack, and organizational context. Then gather:
| Component | Purpose | Method | Governance |
|---|---|---|---|
| Token Budgeting | Allocate token budgets per task type | Historical analysis, task classification, budget caps | Budget approval gates |
| Model Selection | Choose cost-effective model tiers | Quality-cost tradeoff analysis, task routing | Model tier governance |
| Cost Alerting | Detect and alert on cost anomalies | Threshold alerts, trend detection, anomaly detection | Alert escalation policies |
| Optimization | Reduce costs without quality loss | Caching, prompt optimization, batching | Optimization review cadence |
| Reporting | Track and report costs to stakeholders | Dashboards, department rollups, executive summaries | Monthly reporting cadence |