Negotiate AI Token Budgets with Finance Teams
Create data-driven proposals for AI token budgets by analyzing development productivity metrics and correlating them with token usage patterns.
Workflow Steps
GitHub
Extract productivity metrics
Use GitHub API to pull data on code commits, pull requests, code review turnaround times, and bug fix rates for periods with and without AI assistance.
Notion
Build ROI analysis template
Create a Notion template that correlates AI token usage with productivity improvements, including metrics like faster code completion and reduced debugging time.
Notion
Calculate cost-benefit analysis
Use Notion's database formulas to show dollar value of time saved versus AI token costs, including projected savings from faster feature delivery.
Loom
Record budget presentation
Create a compelling video presentation using Loom to walk finance through the data, highlighting specific examples of AI-accelerated development wins.
Calendly
Schedule stakeholder reviews
Set up recurring budget review meetings with finance and engineering leadership to discuss token usage trends and adjust allocations quarterly.
Workflow Flow
Step 1
GitHub
Extract productivity metrics
Step 2
Notion
Build ROI analysis template
Step 3
Notion
Calculate cost-benefit analysis
Step 4
Loom
Record budget presentation
Step 5
Calendly
Schedule stakeholder reviews
Why This Works
GitHub's development metrics provide hard data while Notion organizes it into compelling business cases that finance teams can easily understand
Best For
Engineering leads need to justify AI token budget requests to finance teams with concrete productivity data
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