Artificial intelligence is creating a new class of cloud cost challenge — one that no longer belongs exclusively to engineering teams. 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+ from Nor Labs Inc. is positioning itself, according to Tatum Tummins (pictured), senior product manager at Kion.

“If I don’t have visibility into every dollar in my technology organization, that’s priority one,” he 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 pullback by CFOs. (* Disclosure below.)

Automated governance keeps AI innovation from becoming AI liability

The stakes of getting governance wrong are real — and Kion has the anecdote to prove it. During an internal hackathon, a sales team member spent more on AI prompts than any developer on the team, Tummins noted. The story illustrates the growing shadow AI problem: as tools such as Amazon Bedrock and Anthropic reach non-technical users, cost awareness can no longer be assumed.

“You’ve got to let folks have a playground but put a fence around the playground,” he said. “The folks that start to think about those guardrails and governance now are the folks that are not going to get so jaded that they tell everybody to put down their AI tokens — because this happened in the cloud.”

Kion’s answer to the governance gap is a self-hosted, policy-driven platform that deploys directly inside a customer’s AWS or Azure account, enabling real controls — not just dashboards — over instance types, graphics processing unit spend and token thresholds. The approach is designed to keep sensitive financial data inside the customer’s authorized environment, which is particularly important for regulated enterprises, Tummins noted. Rather than hard cutoffs that kill innovation, Kion uses soft caps that trigger alerts and human approval workflows before spend escalates.

“What it should mean is … if I’m an organization looking to implement this, I want to set a soft cap,” he said. “When engineer Y hits a token threshold, I want to know about it, and then I have the decision — do I want to say, ‘Hey, keep going?’ Or do I want to actually talk about what we’ve done here? You just have to have some checks and balances.”

Automated governance is the defining product challenge for the next year, Tummins noted. The next step is moving beyond visibility to enforceable controls applied directly through AI providers at scale.

“It is the AI governance story, making that as easy as possible to implement … human in the loop, approval, workflow, being able to make decisions,” he said. “How do you actually put controls directly with Anthropic — directly with OpenAI, within Bedrock, within Foundry — to make people be able to scale comfortably? I think that’s where the need is going to be.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of FinOps X 2026:

(* Disclosure: TheCUBE is a paid media partner for FinOps X 2026. Neither the FinOps Foundation, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE