- Most companies have AI in the cost center and results in the hope column.
- AI without commercial ownership is a science project with a budget.
- The question isn't 'are we using AI?' — it's 'who owns the revenue outcome?'
It's December 2025. You've been spending on AI for at least 18 months. You have a Chief AI Officer, or a Head of AI, or a "Center of Excellence" with a name that sounds impressive in the board deck. You've deployed tools. Your engineers are happy. The demos are good.
And your revenue line looks exactly the same.
This is the most common pattern I'm seeing right now across mid-market and lower enterprise: AI deployed at scale with zero revenue attribution. Millions in spend. No line on the P&L that says "AI contributed X."
Here's the problem: AI sits under engineering or IT, and the KPIs are technical. Adoption rates. Tokens processed. Model accuracy. These are inputs. They're not outputs. No customer buys because your model has a high F1 score.
The companies actually generating return from AI have one thing in common: the commercial team owns the use case. Not IT. Not data science. The person whose comp is tied to revenue is the one deciding what AI gets built, in what sequence, and against what commercial objective.
I've watched a PE-backed services company spend $2.4M on an AI platform that their ops team loved and their sales team never touched. The tool generated beautiful internal insights. None of those insights changed a customer conversation. None of them shortened a sales cycle. None of them improved pricing discipline. The revenue team was told they'd "be able to use it eventually." They're still waiting.
Meanwhile, a smaller competitor stood up a dead-simple AI-assisted outreach system that their BDRs ran themselves — no IT involvement — and cut their qualification time in half. The total investment was under $80K.
The difference wasn't the technology. It was ownership.
If your AI initiative doesn't have a commercial executive who owns the P&L outcome, you're funding R&D and calling it transformation.
The fix isn't complicated. Before you approve the next AI budget cycle, answer three questions: What specific commercial behavior does this change? Who owns the before/after measurement? What does the P&L look like if it works?
If you can't answer those in 90 seconds, the project isn't ready to fund.
AI is not a strategy. It's a capability. The strategy is commercial. Always.
MonarchX Capital provides embedded commercial leadership for enterprise leaders, PE sponsors, and growth-stage companies.
Start a conversation → charlotte@monarchxcapital.com