Automated governance is FinOps’ next frontier as AI spend spirals beyond engineering teams
Artificial intelligence is creating a new class of cloud cost problem — one that no longer belongs exclusively to engineers. As AI tools put spend capabilities into the hands of sales, finance and executive teams, the need for automated governance has become as urgent as the innovation it is meant to protect.
The FinOps Foundation’s “State of FinOps 2026 Report” found that 98% of practitioners now manage AI spend, yet most organizations still lack the guardrails to control it at scale. That tension — between enabling experimentation and containing runaway costs — is where Kion FinOps+ is positioning itself, according to Tatum Tummins (pictured), senior product manager at Kion FinOps+ from Nor Labs Inc.
“If I don’t have visibility into every dollar in my technology organization, that’s priority one,” Tummins said. “You’ve got to figure out a way to get visibility into everything. That’s what kind of catapults everything off of that. Optimization, governance, [etc].”
Tummins 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 automated governance and AI spend management are reshaping the FinOps practitioner role and what enterprises must do to avoid a CFO pullback. (* Disclosure below.)
