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Prove the Value of Every AI Investment

ROI you can take to the board.

AI is everywhere in your organization and the bill climbs every month, but when finance asks what it returned, the honest answer is still anecdotes. Olakai measures the work itself, before and after AI, and converts the time saved into dollars using your own wage data. The result is a defensible ROI number by team, tool, and project, with cost attribution included and ready for the board.

The problem

The AI ROI Problem

You’re past piloting. AI is everywhere in your organization now, and the spend is real — and climbing every month as tools shift to usage-based pricing. But when finance asks “what’s the return?”, the honest answer is still a shrug and a few anecdotes. NVIDIA surveyed 3,200 enterprise leaders; 30% still can’t measure their AI ROI.

The gap isn’t adoption anymore — it’s proof. The teams that can put a defensible dollar figure on AI are the ones getting budget to scale it. The rest are guessing, and finance can tell.

The challenge

You’re spending more on AI than ever — and still can’t prove it’s worth it.

Spend keeps climbingUsage-based pricing means the AI bill grows every month — with no matching proof of what it’s returning.
Anecdotes, not numbers“It feels faster” doesn’t survive a budget review. Finance wants dollars, not vibes.
Siloed dashboardsYour OpenAI, Copilot, and Salesforce dashboards don’t talk to each other — or to business outcomes.
No baselineWithout before-and-after data, you can’t say what AI actually changed — only that you’re paying for it.

The solution

Olakai: AI ROI You Can Prove

Olakai measures the work itself — before and after AI — and converts the time saved into dollars using your own wage data. The result is a defensible ROI number, not a vibe.

Olakai AI ROI dashboard showing 196x ROI, AI Equivalent Engineers rising from 36 to 163, 658K dollars of value created against a 3,360 dollar AI tool cost, and value-vs-cost trends over time
  1. 01Before-and-after ROIMeasure output before vs. after AI, by team and by tool. The delta is the value AI actually added — not a vendor’s estimate.
  2. 02Hours to dollarsConvert the time AI saves into dollar value using your own wage config. The number finance trusts, down to the team.
  3. 03AI Equivalent Engineers, and beyondTranslate productivity gains into headcount-equivalent capacity. Engineering gets AI Equivalent Engineers; the same before-and-after model measures assistive copilots across your knowledge workers and the business impact of your autonomous agents.
  4. 04Board-ready reportingValue created, cost, and net ROI in one view — by team, tool, and project. Cost attribution included, ready for the budget meeting.

Where it shows up

Pick your seat, get your answer.

CFOYou need the return in dollars and the spend forecast before the invoice.FinOps for AICISOYou need to see every AI tool in use and prove the policy held.AI GovernanceHead of AIYou run the program and answer the board, finance, and security from one place.AI ROIVP EngineeringYou need to know which AI coding tools pay off, for which teams, at what cost.AI Engineering Productivity