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FinOps Foundation and ITAM Forum Form Strategic Partnership

The FinOps Foundation, a global non-profit trade association program of The Linux Foundation, and the ITAM Forum, a global non-profit membership association for IT Asset Management (ITAM), announced a strategic partnership to support the accelerating convergence of FinOps and ITAM/SAM that has occurred in large organizations over the last 18 months. 

This collaboration reflects an accelerating trend in enterprises to merge or tightly align cost optimization and compliance disciplines as Cloud+ environments become the new norm—encompassing not just public cloud, but also SaaS, licensing, data centers, and other variable technology spend.

FinOps—a portmanteau of "Finance" and "DevOps"— is an operational framework and cultural practice which maximizes the business value of cloud and technology, enables timely data-driven decision making, and creates financial accountability through collaboration between engineering, finance, and business teams.

With the 2025 expansion of the FinOps Framework, the scope of FinOps has grown from public cloud cost management into what is now referred to as Cloud+—an umbrella term for managing spend across SaaS, software licenses, hybrid infrastructure, and more. ITAM and SAM, in contrast, have long focused on software inventory, license compliance, renewal governance, and software discoverability. These practices have historically operated in parallel, but increasingly they are converging into unified teams and workflows.

Key areas where FinOps and ITAM/SAM intersect include:

  • SaaS Inventory and Rationalization – Combining FinOps usage and cost telemetry with ITAM discoverability and license controls to optimize SaaS and Software portfolios.
  • Cloud License Compliance and Optimization – Applying SAM principles to public cloud BYOL (bring your own license) models and usage-based billing scenarios.
  • Renewal Governance and Contract Negotiation – Using FinOps forecasting and product-level visibility to inform more strategic and cost-effective software renewals and commitments.

The 2025 State of FinOps report revealed that a growing number of organizations are merging FinOps and ITAM/SAM efforts under shared leadership or cross-functional programs. Supporting this trend, Gartner has projected that by 2026, the majority of enterprises with mature cloud strategies will unify their FinOps and ITAM capabilities to streamline tooling, avoid duplicate efforts, and drive better business outcomes. This partnership between the FinOps Foundation and the ITAM Forum directly responds to that shift.

As part of the collaboration, the two organizations will jointly deliver:

  • Virtual Summits on shared challenges and success stories.
  • Two New Working Groups focused on organizational integration and best practices for FinOps and ITAM alignment.
  • A Combined Event Strategy, including ITAM-focused tracks at FinOps X and sessions at FinOps X Days events globally like FinOps X Day Amsterdam in September, FinOps talks at ITAM Forum's WISDOM Unplugged UK in November.
  • A Dedicated Slack Collaboration Space within the FinOps Foundation community for ITAM/SAM practitioners and SMEs.
  • A New Training Course: "FinOps for SaaS", designed to equip practitioners with integrated SaaS and Software cost, renewal and compliance knowledge.

"We see tremendous value in partnering with the FinOps community. In particular, we have much to learn from how FinOps quantifies value, communicates it to the business, and positions itself as a cultural practice rather than just a function. In return, ITAM brings deep expertise, battle-tested experience, and a track record of managing SaaS and data center environments—capabilities that are increasingly relevant as FinOps expands its remit," said Martin Thompson, Founder of the ITAM Forum. "This is a natural collaboration between two complementary disciplines, and we're excited about the opportunity to work closely together."

"As FinOps evolves beyond public cloud into what we now call Cloud+—covering SaaS, licensing, data centers, and more—executives are increasingly turning to the practice for unified visibility and governance," said J.R. Storment, Executive Director of the FinOps Foundation. "This partnership reflects the growing demand for a combined strategy that connects FinOps' real-time cost insights with ITAM's proven compliance and lifecycle management. Together, we're helping organizations tackle both sides of the software equation: optimizing cost and ensuring accountability."

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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 ...

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

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 ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

FinOps Foundation and ITAM Forum Form Strategic Partnership

The FinOps Foundation, a global non-profit trade association program of The Linux Foundation, and the ITAM Forum, a global non-profit membership association for IT Asset Management (ITAM), announced a strategic partnership to support the accelerating convergence of FinOps and ITAM/SAM that has occurred in large organizations over the last 18 months. 

This collaboration reflects an accelerating trend in enterprises to merge or tightly align cost optimization and compliance disciplines as Cloud+ environments become the new norm—encompassing not just public cloud, but also SaaS, licensing, data centers, and other variable technology spend.

FinOps—a portmanteau of "Finance" and "DevOps"— is an operational framework and cultural practice which maximizes the business value of cloud and technology, enables timely data-driven decision making, and creates financial accountability through collaboration between engineering, finance, and business teams.

With the 2025 expansion of the FinOps Framework, the scope of FinOps has grown from public cloud cost management into what is now referred to as Cloud+—an umbrella term for managing spend across SaaS, software licenses, hybrid infrastructure, and more. ITAM and SAM, in contrast, have long focused on software inventory, license compliance, renewal governance, and software discoverability. These practices have historically operated in parallel, but increasingly they are converging into unified teams and workflows.

Key areas where FinOps and ITAM/SAM intersect include:

  • SaaS Inventory and Rationalization – Combining FinOps usage and cost telemetry with ITAM discoverability and license controls to optimize SaaS and Software portfolios.
  • Cloud License Compliance and Optimization – Applying SAM principles to public cloud BYOL (bring your own license) models and usage-based billing scenarios.
  • Renewal Governance and Contract Negotiation – Using FinOps forecasting and product-level visibility to inform more strategic and cost-effective software renewals and commitments.

The 2025 State of FinOps report revealed that a growing number of organizations are merging FinOps and ITAM/SAM efforts under shared leadership or cross-functional programs. Supporting this trend, Gartner has projected that by 2026, the majority of enterprises with mature cloud strategies will unify their FinOps and ITAM capabilities to streamline tooling, avoid duplicate efforts, and drive better business outcomes. This partnership between the FinOps Foundation and the ITAM Forum directly responds to that shift.

As part of the collaboration, the two organizations will jointly deliver:

  • Virtual Summits on shared challenges and success stories.
  • Two New Working Groups focused on organizational integration and best practices for FinOps and ITAM alignment.
  • A Combined Event Strategy, including ITAM-focused tracks at FinOps X and sessions at FinOps X Days events globally like FinOps X Day Amsterdam in September, FinOps talks at ITAM Forum's WISDOM Unplugged UK in November.
  • A Dedicated Slack Collaboration Space within the FinOps Foundation community for ITAM/SAM practitioners and SMEs.
  • A New Training Course: "FinOps for SaaS", designed to equip practitioners with integrated SaaS and Software cost, renewal and compliance knowledge.

"We see tremendous value in partnering with the FinOps community. In particular, we have much to learn from how FinOps quantifies value, communicates it to the business, and positions itself as a cultural practice rather than just a function. In return, ITAM brings deep expertise, battle-tested experience, and a track record of managing SaaS and data center environments—capabilities that are increasingly relevant as FinOps expands its remit," said Martin Thompson, Founder of the ITAM Forum. "This is a natural collaboration between two complementary disciplines, and we're excited about the opportunity to work closely together."

"As FinOps evolves beyond public cloud into what we now call Cloud+—covering SaaS, licensing, data centers, and more—executives are increasingly turning to the practice for unified visibility and governance," said J.R. Storment, Executive Director of the FinOps Foundation. "This partnership reflects the growing demand for a combined strategy that connects FinOps' real-time cost insights with ITAM's proven compliance and lifecycle management. Together, we're helping organizations tackle both sides of the software equation: optimizing cost and ensuring accountability."

Hot Topic

The Latest

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 ...

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

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 ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.