Leadership mandated AI. Prove it's working.
Your CTO mandated AI adoption. Teams are using Claude, Cursor, Copilot. But in the next budget review, nobody can prove it's working. WhoWorked gives you leverage ratios, adoption rates, and cost per equivalent hour so you can prove ROI with data, not anecdotes.
The problem
Your organization spends $50k/year or more on AI tooling. Engineers use Claude, Cursor, and Copilot daily. But nobody can answer the basic questions: what is our AI adoption rate? What is our leverage ratio? What does an AI-equivalent hour cost us? Without this data, leadership has no way to know if the AI investment is paying off. The mandate goes out, the tools get purchased, and the proof never arrives.
The solution
WhoWorked gives engineering leaders a dashboard that answers the questions leadership actually asks. Track team leverage ratios, AI adoption rates across squads, and cost per equivalent hour. When Claude writes code or Copilot reviews a PR, the session is logged alongside your sprint work with full context. You get the data to walk into a budget review and prove the AI investment is working.
Sound familiar?
Your team shipped 40% more story points this quarter. Leadership asks how. You know Claude is writing test suites, Cursor is generating boilerplate, and Copilot is reviewing PRs. But you have no data to prove it. Budget season comes and the CFO asks what the company got for $50k in AI subscriptions. You have anecdotes. You need numbers.
With WhoWorked, you walk in with data: 34% AI adoption rate across the org, 2.1x average leverage ratio, and AI-equivalent hours costing $8 compared to $95 for a senior engineer. The budget conversation is over before it starts.
Key benefits
Cost per equivalent hour
Translate token costs into human-equivalent hours. Show leadership exactly what AI agents cost compared to the output they produce.
Team leverage ratios
See each team's ratio of total output to human hours. Track which teams are getting the most from AI tools and which need support.
AI adoption rate
Measure what percentage of your engineering work involves AI agents. Track adoption trends over time to prove the mandate is working.
Sprint-level attribution
See which tickets and PRs had AI contributions. Understand how AI fits into your development workflow, sprint by sprint.
Prove your AI ROI in the first sprint
Free to start. Connect your first AI agent in under 2 minutes via MCP or REST API.