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Using FinOps to Elevate IT in the Age of AI

Bill Lobig
IBM Software

From hardware and software investments, to the cost of supporting critical talent, IT spending is ubiquitous across industries, sectors and geographies. Worldwide, IT spending is projected to exceed five trillion this year – nearly an increase of 8% from 2023. Simply put, IT is a reality within any given organization.

However, your IT investments can be negatively impacted by high operational expenses and back-office inefficiencies, which, for some organizations, can cost up to 30% of their annual revenue. With business leadership keeping a close eye on budgets, every penny matters — and that's where FinOps can help keep IT spending in check while still allowing for innovation and investment.

Adapting to Today's Cost of Business

When an IT issue is not handled correctly, not only is innovation stifled, but stakeholder trust can also be impacted (such as when there's an IT outage or slowdowns in performance). When you add new technology investments and innovations into the mix, you have a recipe for disaster. The number of companies investing $10 million+ in AI is expected to double over the next year and cloud spend is poised for takeoff. Due to these increases, it will be critical for organizations to get their IT house in order now before new investments add chaos — and higher costs — to the mix.

FinOps Provides an Opportunity for IT to Show Value — Not Just Tell

When incorporating FinOps into an organization from both a technology and a culture perspective, organizations can reduce cloud costs by as much as 30%. This leaves ample room to reallocate funds and energy into new investments, provide more accurate forecasting, create more efficient workload planning, so IT teams can focus on innovating and creating new value rather than just managing existing applications and being burdened with day-to-day tactics.

How does this work?

According to the FinOps Foundation, organizations that have a mature FinOps posture can more effectively leverage automation, appropriately allocate their spend to the areas of the business that need it most and set very high KPIs to address the most difficult of use cases. With FinOps — in real time — the IT business can provide critical insights, information and recommendations to inform increasingly important spending decisions.

Connecting the Dots — from CFO to Developer

When discussing IT spend, the most commonly considered stakeholder in charge tends to be the CFO, the CEO or another revenue and business-centric leader. However, a FinOps framework creates a holistic and non-hierarchical platform across levels, functions and responsibilities encouraging collaboration and mutual understanding between finance and IT teams.

In today's enterprise, a developer can use company resources to modernize a company's application, an IT manager can leverage resources to provision onboard new employees, and a CIO can employ resources to invest in a new AI tool — all simultaneously. However, without an element of communication or strategy, these three roles will effectively cancel out the benefits of the others.

FinOps enables professionals at all levels of the organization to have equal visibility into overall IT spend. This common language allows leaders to make informed financial decisions at the individual level like never before.

Bill Lobig is VP, Automation Product Management, IBM Software

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Using FinOps to Elevate IT in the Age of AI

Bill Lobig
IBM Software

From hardware and software investments, to the cost of supporting critical talent, IT spending is ubiquitous across industries, sectors and geographies. Worldwide, IT spending is projected to exceed five trillion this year – nearly an increase of 8% from 2023. Simply put, IT is a reality within any given organization.

However, your IT investments can be negatively impacted by high operational expenses and back-office inefficiencies, which, for some organizations, can cost up to 30% of their annual revenue. With business leadership keeping a close eye on budgets, every penny matters — and that's where FinOps can help keep IT spending in check while still allowing for innovation and investment.

Adapting to Today's Cost of Business

When an IT issue is not handled correctly, not only is innovation stifled, but stakeholder trust can also be impacted (such as when there's an IT outage or slowdowns in performance). When you add new technology investments and innovations into the mix, you have a recipe for disaster. The number of companies investing $10 million+ in AI is expected to double over the next year and cloud spend is poised for takeoff. Due to these increases, it will be critical for organizations to get their IT house in order now before new investments add chaos — and higher costs — to the mix.

FinOps Provides an Opportunity for IT to Show Value — Not Just Tell

When incorporating FinOps into an organization from both a technology and a culture perspective, organizations can reduce cloud costs by as much as 30%. This leaves ample room to reallocate funds and energy into new investments, provide more accurate forecasting, create more efficient workload planning, so IT teams can focus on innovating and creating new value rather than just managing existing applications and being burdened with day-to-day tactics.

How does this work?

According to the FinOps Foundation, organizations that have a mature FinOps posture can more effectively leverage automation, appropriately allocate their spend to the areas of the business that need it most and set very high KPIs to address the most difficult of use cases. With FinOps — in real time — the IT business can provide critical insights, information and recommendations to inform increasingly important spending decisions.

Connecting the Dots — from CFO to Developer

When discussing IT spend, the most commonly considered stakeholder in charge tends to be the CFO, the CEO or another revenue and business-centric leader. However, a FinOps framework creates a holistic and non-hierarchical platform across levels, functions and responsibilities encouraging collaboration and mutual understanding between finance and IT teams.

In today's enterprise, a developer can use company resources to modernize a company's application, an IT manager can leverage resources to provision onboard new employees, and a CIO can employ resources to invest in a new AI tool — all simultaneously. However, without an element of communication or strategy, these three roles will effectively cancel out the benefits of the others.

FinOps enables professionals at all levels of the organization to have equal visibility into overall IT spend. This common language allows leaders to make informed financial decisions at the individual level like never before.

Bill Lobig is VP, Automation Product Management, IBM Software

Hot Topics

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...