Rippling AI Spend Console
Centralize enterprise AI spending, link token usage to business outcomes, and control model routing and spending.
About Rippling AI Spend Console
Rippling AI Spend Console is a platform for managing and optimizing AI spending. It helps centralize AI costs, link token usage to business outcomes, and control the use of approved LLMs. It connects Anthropic, OpenAI, and Cursor, bringing AI spending into one view and breaking it down by employee attributes such as team and department to show who is spending and where. The product maps token usage to pull requests and code reviews, helping organizations see where AI is effective or inefficient; users can also ask about usage and spending in natural language and build dashboards in seconds without SQL. For control, it automatically routes requests to specified models by employee attributes and limits token spending, recording the requester, cost, and business impact of every request. It is intended for finance and IT leaders who need to track and understand AI spending in one place.
Best for
Best use cases
View AI spending from connected Anthropic, OpenAI, and Cursor in one place
Break down AI spending by team or department to locate its source
Link token usage to pull requests and code reviews to assess AI-use efficiency
Route model requests by employee attributes and limit token spending
Features
Unified spending view
Connect Anthropic, OpenAI, and Cursor to view AI spending in one view.
Breakdown by employee attributes
Break down spending by employee attributes such as team and department to see who is spending and where.
Efficiency attribution and no-SQL analysis
Map token usage to pull requests and code reviews; ask about usage and spending in natural language and build dashboards in seconds.
Routing and spending controls
Route requests automatically to specified models by employee attributes and limit token spending, recording the requester, cost, and business impact for every request.
Pros
- Consolidates AI spending from multiple providers in one view for cost oversight
- Supports natural-language queries about usage and spending, with dashboards built without SQL
- Automatically routes models by employee attributes and limits token spending
- Logs every request for traceability to the requester, cost, and business impact