AI Spend Visibility for Cost Management
AI spend visibility provides insights into your team's AI usage and costs, helping to optimize budgets and prevent overspending. This guide explains how to leverage observability tools to track AI expenses effectively.
What is AI Spend Visibility?
AI spend visibility involves monitoring and analyzing the costs associated with AI requests and models. It enables teams to understand their AI-related expenses, identify cost drivers, and optimize resource allocation.
Observing AI Spend with the Browser Extension
The browser extension offers a dedicated AI spend page where signed-in users can review their team's AI costs. It displays observed calls, the router's quote for requests, and the gap between actual spend and estimates. The page also provides breakdowns by model, site, and task, along with a CSV export for detailed analysis.
How to Access the AI Spend Page
To view AI spend data:
Visit /platform/dashboard/spend after signing in.
This page shows:
- Observed calls and spend
- Router’s quote for requests
- Cost gaps
- Model, site, and task breakdowns
- Per-call history
- CSV export options
Using the Platform for AI Cost Insights
The platform offers several dashboards to analyze AI expenses:
- Usage: per day, target, endpoint, and tenant costs.
- Savings: routed cost against a baseline model.
- Impact: a value report showing cost savings.
These tools help organizations track and manage their AI spending efficiently.
Comparing Cost Visibility Tools
| Feature | Browser Extension |
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