Monitor AI Costs → Alert on Spikes → Generate Budget Report
Track spending across multiple AI services (OpenAI, Anthropic, AWS) and automatically alert teams when usage spikes or budgets are exceeded.
Workflow Steps
AWS Cost Explorer API
Fetch daily AI service costs
Set up scheduled API calls to retrieve costs for Bedrock, SageMaker, and other AI services. Filter by service type and time period to get granular spending data.
OpenAI API
Get usage and billing data
Use OpenAI's usage endpoint to fetch daily token consumption and costs. This gives you real-time visibility into GPT-4 and GPT-3.5 spending.
Anthropic API
Retrieve Claude usage metrics
Pull usage statistics from Anthropic's billing API to track Claude conversations and costs. Combine with other providers for total AI spend view.
Google Sheets
Calculate budget variance and trends
Automatically update a master spreadsheet with all AI costs. Use formulas to calculate month-over-month growth, budget remaining, and projected spend.
Slack
Send alerts for budget thresholds
Post automated messages when spending exceeds 80% of monthly budget or shows unusual spikes. Include breakdown by service and recommendations for optimization.
Workflow Flow
Step 1
AWS Cost Explorer API
Fetch daily AI service costs
Step 2
OpenAI API
Get usage and billing data
Step 3
Anthropic API
Retrieve Claude usage metrics
Step 4
Google Sheets
Calculate budget variance and trends
Step 5
Slack
Send alerts for budget thresholds
Why This Works
Consolidates cost data from multiple AI providers into one dashboard, preventing surprise bills and helping teams optimize their AI tool usage.
Best For
Engineering teams managing AI infrastructure costs across multiple cloud providers and API services
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