Why FinOps Rewrote Its Mission and What It Signals for Technology Management

Jay Litkey
Flexera

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology.

Expanding FinOps Beyond Public Cloud

Historically, FinOps was adopted by enterprises strictly for cloud cost management purposes. Now, organizations are understanding the value of adapting FinOps beyond the cloud, applying practices across the full technology stack, from AI platforms and SaaS applications to software licensing and even on-premises data centers. This recognized need for full-scale management is reflected in the 2026 Flexera State of the Cloud report, finding that 63% of organizations have established FinOps teams.

Consider the difference between technical SaaS services, which are primarily infrastructure-focused, versus business SaaS services, such as Microsoft 365 or Salesforce, which touch nearly every team and process across an organization. Managing these systems isn't just about cost control but also understanding how much meaningful value they bring to the company. FinOps teams are the boots on the ground to ensure proper management of technology and in turn, enable organizations to extract measurable value across their entire technology ecosystem.

AI Is the Biggest Catalyst Reshaping FinOps

Over the past year, increased AI projects and initiatives have infiltrated all corners of the enterprise from the ground up. The FinOps Foundation 2026 State of FinOps Report indicates that amongst all conversations across FinOps teams, AI value management is the most sought after FinOps skill set. Nearly all 1,192 survey respondents (98%) report that AI spend is the top technology investment they are managing, up dramatically from 31% just two years ago.

As organizations take on greater responsibility for managing AI spending, they require complete visibility across all technology environments, making a strong case for expanding their scope of FinOps to track and optimize AI usage and costs comprehensively. Teams are also often being asked to self-fund AI initiatives through efficiency gains elsewhere in the technology portfolio — FinOps is able to help deliver on this and deserves a seat at the executive table.

FinOps Is Gaining Executive Influence and Strategic Authority

An increase in FinOps responsibility and scope comes with greater influence over technology selection and business decisions. This rise in strategic authority is occurring concurrently with the rise in tech innovation, as the FinOps Foundation's recent survey found 75% of FinOps teams now report to CIO or CTO leadership. With FinOps supporting more business functions today, it is enabling teams to report higher value return-on-investment (ROI) metrics — a critical outcome as businesses continue to adopt new technology today.

In recent years, there has been a clear shift in what defines success, especially as innovations exit the hype cycle. Today, more and more leaders are measuring success through long-term business value. This mindset is helping organizations remain competitive and successful for years to come. In this new technology era, the true ROI is not simply about minimizing budgets — it's about sustained business value.

What's Next for Technology Management

FinOps did not outgrow cloud; it grew into technology value. With 160 or more vendors claiming to offer FinOps solutions, very few can address the expanded definition of FinOps. In the coming years, we'll see many of those who provide niche capabilities and partial visibility fall down. To ensure long-term success, companies require technology conversations that can prove unified data, consistent accountability and a shared understanding of tradeoffs across environments.

Looking forward, the FinOps Foundation's mission change only formalizes what leading organizations are already doing: leveraging FinOps to not just optimize cloud but now governing and maximizing the value of technology. As enterprises continue to foster a culture of innovation, managing across all technology environments will be a key enabler for success. Leaders, are you embracing the new age of FinOps? 

Jay Litkey is SVP of Cloud and FinOps at Flexera

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Why FinOps Rewrote Its Mission and What It Signals for Technology Management

Jay Litkey
Flexera

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology.

Expanding FinOps Beyond Public Cloud

Historically, FinOps was adopted by enterprises strictly for cloud cost management purposes. Now, organizations are understanding the value of adapting FinOps beyond the cloud, applying practices across the full technology stack, from AI platforms and SaaS applications to software licensing and even on-premises data centers. This recognized need for full-scale management is reflected in the 2026 Flexera State of the Cloud report, finding that 63% of organizations have established FinOps teams.

Consider the difference between technical SaaS services, which are primarily infrastructure-focused, versus business SaaS services, such as Microsoft 365 or Salesforce, which touch nearly every team and process across an organization. Managing these systems isn't just about cost control but also understanding how much meaningful value they bring to the company. FinOps teams are the boots on the ground to ensure proper management of technology and in turn, enable organizations to extract measurable value across their entire technology ecosystem.

AI Is the Biggest Catalyst Reshaping FinOps

Over the past year, increased AI projects and initiatives have infiltrated all corners of the enterprise from the ground up. The FinOps Foundation 2026 State of FinOps Report indicates that amongst all conversations across FinOps teams, AI value management is the most sought after FinOps skill set. Nearly all 1,192 survey respondents (98%) report that AI spend is the top technology investment they are managing, up dramatically from 31% just two years ago.

As organizations take on greater responsibility for managing AI spending, they require complete visibility across all technology environments, making a strong case for expanding their scope of FinOps to track and optimize AI usage and costs comprehensively. Teams are also often being asked to self-fund AI initiatives through efficiency gains elsewhere in the technology portfolio — FinOps is able to help deliver on this and deserves a seat at the executive table.

FinOps Is Gaining Executive Influence and Strategic Authority

An increase in FinOps responsibility and scope comes with greater influence over technology selection and business decisions. This rise in strategic authority is occurring concurrently with the rise in tech innovation, as the FinOps Foundation's recent survey found 75% of FinOps teams now report to CIO or CTO leadership. With FinOps supporting more business functions today, it is enabling teams to report higher value return-on-investment (ROI) metrics — a critical outcome as businesses continue to adopt new technology today.

In recent years, there has been a clear shift in what defines success, especially as innovations exit the hype cycle. Today, more and more leaders are measuring success through long-term business value. This mindset is helping organizations remain competitive and successful for years to come. In this new technology era, the true ROI is not simply about minimizing budgets — it's about sustained business value.

What's Next for Technology Management

FinOps did not outgrow cloud; it grew into technology value. With 160 or more vendors claiming to offer FinOps solutions, very few can address the expanded definition of FinOps. In the coming years, we'll see many of those who provide niche capabilities and partial visibility fall down. To ensure long-term success, companies require technology conversations that can prove unified data, consistent accountability and a shared understanding of tradeoffs across environments.

Looking forward, the FinOps Foundation's mission change only formalizes what leading organizations are already doing: leveraging FinOps to not just optimize cloud but now governing and maximizing the value of technology. As enterprises continue to foster a culture of innovation, managing across all technology environments will be a key enabler for success. Leaders, are you embracing the new age of FinOps? 

Jay Litkey is SVP of Cloud and FinOps at Flexera

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Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Reliability Is the New Bottleneck of Innovation

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

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Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

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Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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