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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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APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...