For VPs of Engineering
Prove every AI coding tool’s ROI. Standardize with confidence.
Your engineers use Claude Code, Cursor, GitHub Copilot, and more — often all at once. Anthropic went usage-based. Token bills are up 5x in a quarter for some teams. Procurement asks “is this paying off?” You need two answers: whether AI makes your engineers faster, and whether the cost is under control. Olakai gives you both from one platform.
Every coding tool sells you adoption. None of them sell you outcome.
Cursor shows you Cursor adoption. Anthropic shows you Claude Code spend. GitHub shows you Copilot acceptance rates. None of them connect that activity to shipping velocity — or warn you when a team’s token burn is trending 3x over the monthly budget. Olakai connects them all: cost and velocity, end to end, from every PR.
You need two answers: whether AI makes your engineers faster, and whether the cost is under control. Most tools give you one. Olakai gives you both — from the same platform.
What you get with Olakai
Cycle time impact, by tool
Cycle time delta for AI-assisted vs non-AI PRs, broken out by every provider you run. Coding time, review time, total cycle. The exact metric procurement asks you for — backed by your real GitHub data. See Olakai Agentic.
Adoption coaching
Every developer in your org segmented into Power, Casual, New, or Idle cohorts — with the data you need to coach the casual users, reclaim the idle licenses, and standardize on what your power users have already chosen.
Budget control before the overrun
Token spend by provider, team, and developer — normalized across Anthropic, Cursor, OpenAI, Copilot, and Windsurf. Run-rate forecasting based on 7-day trailing averages. Budget alerts that fire before limits are hit. Cost per PR by provider so you know which tool earns its seat.
Olakai Agentic — Budget forecasting
See spend before the invoice arrives.
Olakai tracks token spend by provider, team, and developer — normalized across Anthropic, Cursor, OpenAI, and Copilot in one view. Run-rate forecasting projects month-end overruns from 7-day trailing averages. Budget alerts fire before limits are hit, not after. The cost control your CFO is now asking for — from the same platform where you already measure velocity.
- Token spend by provider, team, and developer — normalized across Anthropic, Cursor, OpenAI, and Copilot in one view
- Run-rate month-end forecast from 7-day trailing averages — a trajectory, not a surprise
- Budget alerts fire at 50%, 80%, and 100% of any limit you configure — before you overrun
Set budgets by provider, by team, or by individual developer. Alerts fire at 50%, 80%, and 100% of any limit you configure.
Olakai Agentic — Developer cohorts
Find the idle licenses. Coach the casual users. Reward the power users.
Olakai Agentic segments every developer in your org into one of four adoption cohorts — Power, Casual, New, or Idle — and shows you which tools they actually use, how often, and what their cycle time looks like compared to peers. Estimated and reconciled actual cost attributed per developer, side by side. The view that tells you exactly who to enable, who to train, and where to reclaim licenses before the next renewal.
- Power (>70% AI-assisted PRs), Casual (20–70%), New (first AI PR in 14 days), Idle (<20%)
- Per-developer cost: estimated vs. reconciled actual, side by side
- Precise reclaim list: idle licenses, underused seats, and coaching opportunities
PR Analysis
See exactly how much faster AI-assisted PRs ship.
Olakai Agentic reads PR data directly from your GitHub org and plots cycle time for AI-assisted vs non-AI PRs side by side — across every repo, every team, every provider. AI-assisted PRs are typically 25–40% faster. Olakai Agentic tells you whether yours are.
- Coding time, review time, and total cycle time — AI-assisted vs. non-AI, side by side
- PR volume and AI code ratio: % of merged lines that came from AI-assisted PRs
- Provider breakdown: which tool produces faster PRs on your actual repos
Velocity and cost, on the same platform as governance.
Olakai Agentic shares a platform with Olakai Assistive — so the velocity and spend story rolls up into the same enterprise AI ROI view your CFO, CISO, and Head of AI are already looking at. And Kai connects the dots so you can answer “is AI making us faster and is it under control?” from a single question.
“Are we forecast to overrun any coding budget this month, and which team is driving it?”
Talk to an Expert.
See how Olakai connects your AI coding tool spend to real engineering ROI — cycle time, adoption, cost per PR — tailored to your stack, no pitch.