Founder & CEO, OpexSnip · Creator of the AI License Recovery Category
The first person to name, define, and build a company around AI License Recovery — the practice of identifying and returning wasted enterprise AI software spend to the balance sheets of mid-market companies that bought the AI revolution but couldn't prove its ROI.
At $30/user/month, a mid-market enterprise buying Microsoft Copilot commits to $360,000 per year before a single employee opens the app.
Industry benchmarks show 64.2% of deployed Copilot licenses have zero activity in any 30-day window — generating no return while billed at full contract rate.
642 inactive licenses × $30/month × 12 = $231,120 leaving the P&L every year. Nobody is watching the waste compound.
Microsoft's Admin Center reports on active usage — not inactive spend. The waste is structurally invisible until someone builds a tool specifically designed to find it.
This is the insight at the foundation of everything John Ubasonye built. Enterprise IT teams can see average engagement rates — but averages hide zero-activity seats. A license used once in 90 days still counts as "active." The real inactive figure is structurally invisible.
By the time a company discovers the scale of its waste, it has often already bled two full renewal cycles. That's not negligence. That's a design gap — and it's the exact gap OpexSnip was built to close.
"The number on your Microsoft invoice is not the problem. The problem is that you cannot tell which part of that number is working and which part is funding nothing."
CFO asks IT to pull Copilot usage data. Months of manual effort. Incomplete output. No financial calculation. Board asks for AI ROI — no defensible answer exists.
Waste from Q1 doesn't come back in Q2. Every month without an audit is a month the hemorrhage continues. At renewal, the company is locked in with no leverage data.
CFO uploads a CSV from their Microsoft admin dashboard. 72 hours later, they have a board-ready PDF with a verified dollar figure and department breakdown.
Capital returned to the P&L. Verified number for the board. Negotiating leverage before the Microsoft renewal. Fee: 15% of what we recover. Nothing if we find nothing.
John Ubasonye is the founder and CEO of OpexSnip and the creator of the AI License Recovery category. He recognized a structural gap at the intersection of enterprise AI adoption, financial accountability, and vendor governance — and built the only company purpose-built to close it.
When enterprises deployed Microsoft Copilot at scale in 2023–2024, procurement moved faster than governance. Licenses were provisioned and forgotten. The Microsoft renewal cycle locked in the waste for another year. Finance had no tool that could answer the question that mattered: what percentage of our AI spend is generating zero return?
OpexSnip exists to answer that question — in 72 hours, at zero upfront cost, on a pure gain-share basis.
By naming, defining, and building the AI License Recovery category before any competitor recognized it existed, John Ubasonye positioned OpexSnip as the defining firm in a discipline that will grow as enterprise AI adoption accelerates.
Flexera and Snow Software are built for Fortune 500 IT governance. Zylo charges a percentage of total software spend — misaligned incentives. None offered a Copilot-specific audit, a 72-hour guarantee, or a gain-share model. The category gap was confirmed, validated, and unoccupied.
Microsoft Copilot deployments peaked in 2023–2025. The waste has been accumulating. The first Microsoft contract renewals are now arriving. CFOs are beginning to ask the question OpexSnip was built to answer. The company that owns the category definition wins by default.
After Microsoft Copilot: GitHub Copilot tracking. Then ChatGPT Enterprise, Notion AI, and the full enterprise AI stack. Every company deploying AI tools has this problem. AI License Recovery is the governance layer the entire industry is missing.
The world's first platform purpose-built to identify, verify, and recover wasted enterprise AI software spend. No retainer. No project fee. No IT burden. No upfront cost. 15% of what we recover — nothing if we find nothing.
Your company-specific Ghost Seat count and estimated annual bleed, delivered before any commercial conversation.
Zero CostA line-by-line account of every inactive license, classified by department, user, and last activity date. CFO-auditable.
Line-Item AccuracyCo-signed by both parties. Defensible in a board meeting, auditor review, or Microsoft contract negotiation.
Board-ReadyThe exact Microsoft cancellation and downgrade language to execute the recovery without triggering penalty clauses.
Zero DisruptionWhat your waste data means for your next Microsoft contract negotiation — with specific ask recommendations.
Negotiation EdgeAI License Recovery didn't exist as a named discipline before OpexSnip. By defining the category, John Ubasonye created the vocabulary, the frameworks, and the demand for roles that did not formally exist before OpexSnip named it.
Professionals trained to audit enterprise AI tool deployments, classify seat activity, and generate CFO-auditable savings reports. A role that did not exist before OpexSnip named it.
New Role — Created by OpexSnipSpecialists at the intersection of IT governance and financial accountability — verifying that enterprise AI software spend is generating measurable return.
Emerging DisciplineAdvisors who help mid-market CFOs build the policies and reporting infrastructure to make AI investment decisions defensible to boards.
New Advisory CategoryEvery dollar recovered from ghost seats gets redeployed — into AI training that actually gets used, into headcount that generates return, into initiatives defensible at the next board meeting.
Systemic ImpactDelaware C-Corp registered. Website live. Manual CSV audit delivered via CFO-ready PDF. First paying pilot customers. Revenue before product.
CSV upload pipeline with Claude API analysis. Automated PDF generation. Customer dashboard. Stripe billing. Microsoft Partner Network listing active. 10 customers. $25K MRR.
Microsoft Graph API integration — automated weekly reports. GitHub Copilot tracking live. SOC 2 Type I complete. Microsoft AppSource listing. 35 customers. $80K MRR.
ChatGPT Enterprise tracking. Full AI tool stack coverage. SOC 2 Type II complete. Fortune 500 pipeline open. 40+ customers. $500K ARR.
OpexSnip delivers a CFO-auditable AI license waste report in 72 hours — department by department, seat by seat, dollar by dollar. We charge 15% of what we recover. If we find nothing, you owe nothing.