AI value creation meets cost accountability as FinOps evolves beyond cloud
This SiliconANGLE report covers how FinOps, the practice of financial accountability for technology spending, is expanding beyond cloud cost management to address AI costs. At FinOps X 2026, SoftwareOne leaders Trent Allgood and Parker Nancollas explained that organizations are now trying to balance AI value creation with cost control. A key challenge is that AI models can enter and leave production in as little as 60 days, breaking the budgeting and forecasting habits FinOps teams built for slower-changing cloud and on-premises systems.
Key Takeaways
- As AI adoption accelerates, organizations are turning to FinOps practices to improve AI-driven cost management and balance innovation with accountability.
UPDATED 09:31 EDT / JUNE 11 2026 AI AI value creation meets cost accountability as FinOps evolves beyond cloud by Ryan Stevens SHARE As AI adoption accelerates, organizations are focused on balancing value creation with effective AI-driven cost management.
- "Everybody's been thrown, 'Here's AI, go use it, go create value.'
- "The best practices are evolving every day, and what we might say is a best practice today might not be a best practice a week from now - and that's okay," Nancollas said.
- "Part of what you need to budget for and plan for now is ...
research and development for those new models, updating to those new models - that has to be part of your budgeting and forecasting, not just the ongoing usage of what you've already implemented."
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Stats & Key Facts
- #At FinOps X 2026, SoftwareOne leaders Trent Allgood and Parker Nancollas explained that organizations are now trying to balance AI value creation with cost control.
- #A key challenge is that AI models can enter and leave production in as little as 60 days, breaking the budgeting and forecasting habits FinOps teams built for slower-changing cloud and on-premises systems.
- #UPDATED 09:31 EDT / JUNE 11 2026 AI AI value creation meets cost accountability as FinOps evolves beyond cloud by Ryan Stevens SHARE As AI adoption accelerates, organizations are focused on balancing value creation with effective AI-driven cost management.
- #On-premises servers were depreciated over three years, cloud services ran for months or years - but AI models can go in and out of production in 60 days, creating a budgeting and forecasting challenge that most FinOps teams were never built to handle, according to Nancollas and Allgood.
As AI adoption accelerates, organizations are turning to FinOps practices to improve AI-driven cost management and balance innovation with accountability. UPDATED 09:31 EDT / JUNE 11 2026 AI AI value creation meets cost accountability as FinOps evolves beyond cloud by Ryan Stevens SHARE As AI adoption accelerates, organizations are focused on balancing value creation with effective AI-driven cost management. Companies are implementing stronger governance and FinOps practices to bring greater control, accountability and visibility to this rapidly evolving landscape.
FinOps has evolved beyond its traditional focus on cloud cost management. As the scope and value of FinOps continue to expand, AI has become a major area of focus, according to Trent Allgood (pictured, right), vice president of information technology asset management and FinOps consulting at SoftwareOne Inc. and governing board member at FinOps Foundation Inc. "When you say 'chaos,' that's what we're all trying to figure out now," he said. "Everybody's been thrown, 'Here's AI, go use it, go create value.'
How do we now manage the costs that it's also creating?" Allgood and Parker Nancollas (left), global FinOps practice lead at SoftwareOne Holding AG, spoke with theCUBE's John Furrier and Paul Nashawaty at FinOps X 2026 , during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed how FinOps has evolved to address AI-driven cost management and the growing importance of cross-functional collaboration to maximize business value from technology investments.
For more details please read the original article at SiliconANGLE AI.
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