Overview
The Dashboard aggregates data from all your AI transactions to show:- Total spend across all AI providers and models
- Spending trends over time (last 30 days, weekly, monthly)
- Breakdown by providers (OpenAI, Claude, Google, etc.)
- Top contributors to AI spend (by team, project, or user)
- Usage patterns and trends
- Cost per action metrics
Image Placeholder: The image above should show the main dashboard interface with:
- Total spend card at the top
- Time series chart showing spending trends
- Pie chart showing breakdown by AI provider
- Table showing top contributors (features, users, or projects)
- Date range selector
- Quick filter buttons for common views
Key Metrics
The dashboard displays several key metrics at a glance:Total Spend
Your total AI spending across all providers and models for the selected time period.
Transaction Count
Total number of AI transactions processed during the selected period.
Average Cost per Transaction
Mean cost per transaction, helping you understand typical spending patterns.
Spending Trends
Visualize how your AI spending changes over time with interactive charts:
Image Placeholder: This should show a line or area chart displaying:
- Daily or weekly spending trends
- Ability to toggle between different time granularities
- Comparison with previous period (optional)
- Hover tooltips showing exact values
- Interactive legend to show/hide specific providers or models
- Identify spending patterns - See if costs are increasing, decreasing, or staying stable
- Spot anomalies - Quickly detect unexpected spikes or drops in spending
- Compare periods - Understand how current spending compares to previous periods
- Forecast costs - Use historical trends to predict future spending
Provider Breakdown
See how your spending is distributed across different AI providers:
Image Placeholder: This should show:
- Pie or donut chart with provider segments
- Percentage labels for each provider
- Color-coded segments
- Total spend amount in the center (for donut chart)
- Interactive hover states showing exact dollar amounts
- Understand provider mix - See which providers you’re using most
- Optimize provider selection - Identify opportunities to switch to more cost-effective providers
- Track provider changes - Monitor how your provider usage evolves over time
Top Contributors
Identify what’s driving your AI costs with the top contributors view:
Image Placeholder: This should show a table with:
- Rank column
- Contributor name (feature, user, project, or model)
- Total cost
- Percentage of total spend
- Trend indicator (up/down arrow)
- Ability to sort by different columns
- Pagination or “show more” option
- Feature - Which product features consume the most AI resources
- User - Which users or customer segments drive the most costs
- Project - Which projects or teams have the highest AI spending
- Model - Which AI models are being used most frequently
Usage Patterns
Understand how AI is being consumed across your organization:Peak Usage Times
Identify when AI usage is highest, helping you plan capacity and optimize costs.
Usage Distribution
See how usage is distributed across different features, environments, or user segments.
Cost per Action Metrics
Track efficiency metrics to understand the cost-effectiveness of your AI usage:- Cost per transaction - Average cost for each AI API call
- Cost per user - Average AI spending per user
- Cost per feature - Average cost for each product feature using AI
- Benchmark performance - Compare costs across different features or time periods
- Identify inefficiencies - Find features with unexpectedly high costs
- Measure optimization impact - Track improvements after making changes
Filtering and Customization
Customize your dashboard view with powerful filtering options:Date Range Selection
Date Range Selection
Choose from preset ranges (Last 7 days, Last 30 days, Last 90 days) or select a custom date range to analyze specific periods.
Provider Filtering
Provider Filtering
Filter the dashboard to show data for specific AI providers (OpenAI, Anthropic, Google, etc.) or compare multiple providers side-by-side.
Model Filtering
Model Filtering
Focus on specific models to understand spending patterns for particular AI models or compare model costs.
Environment Filtering
Environment Filtering
Filter by environment (production, staging, development) to separate costs across different deployment stages.
Feature Filtering
Feature Filtering
View costs for specific product features to understand feature-level spending patterns.
Use Cases
The Dashboard is essential for:Daily Monitoring
Check your dashboard daily to monitor spending trends and catch anomalies early.
Budget Planning
Use historical trends and current spending to plan budgets and forecast future costs.
Cost Optimization
Identify high-cost areas that might benefit from optimization or alternative approaches.
Stakeholder Reporting
Share dashboard views with executives and stakeholders to demonstrate AI investment visibility.
Best Practices
Refresh frequency: Dashboard data is updated in real-time as transactions are processed. You can manually refresh to see the latest data.
Related Features
- Cost Explorer - Dive deeper into detailed cost breakdowns
- Alerts - Set up notifications for spending thresholds
- Custom Dashboards - Create personalized dashboard views
- Reports - Generate detailed reports for analysis