Pelanor is reimagining cloud cost management with AI-native FinOps tools that explain spending, not just track it. By rebuilding the data layer from scratch, we deliver true unit economics across complex multi-tenant environments - revealing what each customer, product, or team actually costs. Our AI vision is deeper: we're building systems that truly reason about infrastructure, learning what's normal for your environment and understanding why costs change, not just when.
There’s a theory that knowledge leads to collaboration: increased transparency should lead to better collaboration and problem-solving. In cloud cost management, this means Finance and Engineering should be best friends. However, this collaboration often proves challenging in practice.
Experience shows that explaining complex cloud billing often reveals deeper communication challenges: more knowledge doesn’t necessarily mean more harmony. It means more leverage. And leverage, famously, is something you use, not something you share.
Back in 1984, Stewart Brand said that information wants to be both free and expensive. That tension still applies, but now it’s between engineering teams racing to scale and finance teams trying to forecast next quarter. FinOps was supposed to bridge the gap by injecting some structure and accountability. Instead, it often adds another dashboard that nobody agrees on.
Many FinOps tools start from a lovely premise: give everyone access to the same data and watch the magic happen. What actually happens? Finance sees a 40% spike, Engineering shrugs and says, “Yeah, traffic tripled.” Finance asks for cuts. Engineering warns about latency. Teams often leave these discussions without achieving meaningful alignment.
Choosing a cost management platform becomes a political decision. Not in the "who has the best features" sense, rather in the "who gets to control the narrative" sense. It becomes a matter of organizational dynamics rather than pure technical selection.
These frustrating standoffs reveal how traditional FinOps has missed the mark. It focuses on visibility rather than understanding. The real challenge is translation, helping technical and financial teams actually understand each other's constraints and priorities in FinOps for CFOs initiatives.
It's a problem of what technology theorists might call “boundary objects.” These are tools that need to be flexible enough to adapt to different viewpoints while maintaining their core identity. Cloud costs are exactly this kind of boundary object. They mean one thing to engineers (the price of capability) and another to finance (a line item that keeps growing). Without proper translation between these perspectives, you get conflict instead of collaboration.
This is where AI technology provides genuine value. Not by automating decisions, but by explaining them.
At Pelanor, we built a system that doesn’t just surface anomalies, but it explains them in language that resonates with both technical and financial stakeholders. Not “your spend spiked,” but “your spend spiked because the product launch succeeded and auto-scaling kicked in.” Or because development environments remained active unnecessarily. Or because a well-intentioned optimization accidentally triggered a chain reaction.
The point isn’t to teach finance teams Kubernetes or get engineers fluent in accrual accounting. It’s to give both of them a shared story about what happened, so they can decide what to do next.
For CFOs, FinOps can't be something to delegate to engineering anymore. It needs executive attention and tools that deliver genuine insight. Because growth in the cloud era is about understanding your spend patterns and optimizing intelligently, not just scaling. We're not dealing with fixed infrastructure anymore, but with living systems that reshape themselves in response to demand.
The most successful FinOps implementations happen when CFOs take an active role. They bring financial discipline to technical decisions and ensure that cloud investments align with business outcomes. But they need the right tools to do this effectively. Tools that translate between worlds, and go beyond reporting numbers.
Effective cloud cost optimization means more than crunching numbers. It requires aligning priorities across teams with very different goals. Spreadsheets alone won’t get you there. What will is a system that gives Finance and Engineering the ability to ask their own questions—and actually understand the answers.
FinOps has moved beyond the realm of back-office operations. It's become a strategic function. The teams that embrace this shift aren't just controlling costsת they’re making smarter, faster decisions that drive the business forward.
Quarterly reviews can become significantly more productive with the right FinOps for CFOs approach. Instead of defensive positions and frustrated explanations, imagine a meeting where everyone understands the trade-offs and works together on solutions.
Download our guide: 5 questions every CFO should ask about their cloud cost