Enterprise AI spend will reach $2.52 trillion in 2026 (Gartner). 88% of enterprises are investing, yet only 39% see material EBIT impact (McKinsey). Meanwhile, 98% of FinOps teams now manage AI spend — up from 31% two years ago. Basic spend visibility is commodity. The hard problem is connecting that spend to the workforce. Every AI licensing decision is also a workforce decision. Every role redesign has an AI cost implication. These two budget lines are converging — and StealthCo connects them.
StealthCo is the AI capital intelligence platform that shows you where AI is augmenting your workforce, where it should be but isn't, and what the gap is costing you — with evidence, not guesswork.
How It Works
Connect your AI spend data
M365 Copilot, GitHub Copilot, Azure costs, cloud APIs.
Map against your org structure
Entra ID, HRIS — roles, teams, cost centers.
Get confidence-rated signals
What's working, what's not, what data is missing.
Act on prioritized recommendations
Which teams to coach, scale, or redesign.
Initial signals in days, not months. Payload-blind — we never see what people type.
What You Get First
Governance debt with dollar values
15-25% of AI spend typically has no accountable owner — orphan API keys, departed-employee tokens, shared accounts. We show you exactly where, how much, and who should own it.
AI spend by role and team
Your Senior Engineers consume $340/person/month. Your Platform team is 40% of Engineering's total. Every dollar mapped to an owner and a role — cross-vendor, cross-cloud.
What's missing and what it costs
We don't pretend the data is complete. Every answer shows confidence, gaps, and exactly what would improve it. You know what you know — and what you don't.