Token and credit pool visibility
Track remaining credits, token consumption, pool usage percentage, month-end forecast, burn rate, and overage risk.
OOBEYA AI IMPACT
AI Token Usage and Cost Monitoring
Oobeya helps leaders monitor AI token usage, credit consumption, model cost, burn rate, forecasted overage, and budget signals across teams.
Token usage Model cost Budget risk
AI Coding Assistant Impact
Token usage and cost monitoring
AI Credits Overview
Credit overview
Remaining Credits
920,510.4
↘ 698.2%
Credit Pool Usage
8.4%
91.6% Remaining
Pool Value
$10,051.00
Credits Used
84,589.6
Daily Burn
2,643.4
Users
529
Usage value over timeGross / included / net
Total Cost
Financial summary
Gross Usage Value
$845.90
Net Billable Cost
$0.00
Cost per Active User
$1.60
SummaryPool & ForecastModelsUsersBudget RecommendationsRisks & InsightsRaw Report
Oobeya AI Layer
One operating layer for AI-assisted software delivery
Connect chat, insights, impact measurement, token cost, and code attribution so teams can understand how AI changes engineering work from idea to production.
01
Ask
AI Chat
Ask questions about your engineering data.
Explore02
Understand
AI Insights
Summarize risks, strengths, and next actions.
Explore03
Measure
AI Impact
Measure coding assistant impact on outcomes.
Explore04
Control
AI Token Usage and Cost Monitoring
Track token usage, model cost, and budget risk.
Explore05
Attribute
Blamely AI (Free tool)
Track AI and human code-origin context.
ExploreAI cost governance
Know where AI token usage and spend are going before they become a surprise
AI Token Usage and Cost Monitoring turns usage reports into financial, model, and budget signals that engineering and platform leaders can act on.
Model-level token cost breakdown
See which AI models are responsible for the highest token usage, credit consumption, and gross usage value.
Budget and usage risk
Review high-cost patterns, critical users, forecasted overage, and budget recommendations.
Dashboard workflow
From credit pool to budget action
Start with the summary, drill into models and users, then review forecast and risk signals before changing budgets.
Summary
Understand whether usage value and daily credit burn are increasing, decreasing, or spiking.
- Gross, included, and net billable usage trends
- Daily credit burn chart
- Latest collected report list
Pool & Forecast
See how much of the available AI Credit pool has been consumed and whether overage risk is emerging.
- Remaining credits and expected usage
- 3-day and 7-day burn rate
- Projected pool exhaustion
Models
Identify which AI models consume the most credits and whether premium models are driving spend.
- Credit share by model
- Gross, discounted, and net values
- Auto-selected model labels
Users
Analyze user-level AI Credit consumption without treating usage visibility as performance evaluation.
- Credits used and gross value
- Primary model and model count
- Projected month-end credit usage
Budget Recommendations
Review advisory budget recommendations based on current and forecasted usage patterns.
- Current and remaining budget
- Recommended new budget
- Priority and reason
Risks & Insights
Focus on the signals that may need review, from high-cost concentration to overage risk.
- Pool exhaustion risk
- Critical usage patterns
- High-cost model concentration
Key definitions
Make AI usage measurable in financial terms
The token usage and cost view helps teams discuss AI consumption with shared definitions instead of scattered vendor reports.
- AI Credits
- Usage unit used to measure GitHub Copilot AI consumption.
- Gross Usage Value
- Dollar value of consumed AI Credits before discounts.
- Net Billable Cost
- Remaining cost after included usage and discounts.
- Burn Rate
- Average AI Credit consumption over time.
- Forecasted Overage
- Estimated usage above the available credit pool.
AI Token Usage
Review AI token usage, credit burn, model cost, and budget risk in one walkthrough
Schedule a focused demo to see how Oobeya connects AI token usage and cost monitoring with AI Impact, adoption, quality, and engineering outcome signals.
AI Cost FAQ
Questions about AI token usage and cost monitoring
Answers for teams evaluating AI token usage, credit consumption, budget control, model cost, and forecasted overage visibility.
It tracks AI Credit consumption, gross usage value, discounted or included usage, net billable cost, remaining credits, burn rate, and budget risk across the selected scope.
