Most companies I talk to today are in one of two places with AI. Either they’ve given everyone access and are nervously watching the bill, or they’ve slowed adoption because they can’t predict what it will cost.

Neither is the right answer.

I’ve seen this before. When companies moved to AWS, Azure, and Google Cloud, teams got the freedom to build faster than finance could keep up. It took years to figure out who was spending what, who owned each decision, and how to turn cost insights into action.

At Wiv, we’ve spent those years helping companies close that gap, connecting cost insights to the people, decisions, and workflows that make change happen.

AI is following the same path, only faster. Developers write code with it, marketers create content with it, and analysts work through data with it. I believe every employee should have access to tools that help them do their best work. The real question is how to say yes without losing control.

The problem goes beyond visibility

Most companies start by asking for a dashboard. They want to know how much they’re spending on AI and where it’s going. That’s a good start, but seeing the spend doesn’t mean you can manage it.

And the challenge is becoming more urgent. Many AI vendors are moving their enterprise plans from seat-based packages to token-based pricing. Some have already made the change; others are moving in the same direction.

With a seat-based plan, companies have a clear idea of what each user will cost. With token-based pricing, the bill can vary depending on the model, the volume of requests, and how much work an AI agent performs in the background. Two employees using the same tool can generate very different costs.

A dashboard alone can’t bring all of that together.

The challenge at Amdocs

Amdocs faced this challenge firsthand as the AI tools its employees rely on moved from seat-based to token-based enterprise pricing.

Managing that change across tens of thousands of users meant answering questions that a simple spending report couldn’t solve: How do you allocate budgets across the organization? Who approves additional usage? How do you give employees the AI resources they need without letting costs run away?

Amdocs chose Wiv AIr to address this challenge. Today, they’re using it to allocate budgets across teams, give managers ownership of their employees’ AI usage, and manage requests for additional budget at scale.

Rubi Cohen, Head of Global Digital Marketing at Amdocs, put it this way:

“Wiv AIr let us govern and enforce AI usage across tens of thousands of users in a controlled way, simply and without friction.”

Seeing a company like Amdocs choose and trust Wiv AIr at this scale is incredibly rewarding for me and the entire Wiv team.

What Wiv AIr does

We built Wiv AIr to bring the same thinking we applied to cloud to AI spending, and to connect it to the way organizations already work: their departments, teams, managers, and employees.

With AIr, organizations can bring AI spending into one place, set budgets for teams and individuals, decide which models are available, and enforce those policies.

When an employee needs a higher limit, the request can go to the right manager for approval. When a team approaches its budget, the organization can decide how to respond.

Finance gets control. Managers can take ownership of their teams’ budgets. And employees get a clear path to the AI resources they need.

Governance without a gateway

One decision shaped AIr more than any other: we didn’t put a gateway between employees and their AI tools.

Many governance approaches route AI requests through a gateway, adding another component to the request path. We chose a different approach: AIr connects through vendor-native APIs, so employees can keep using their tools directly, without a gateway adding latency to their requests.

Governance that slows people down gets worked around. Governance that stays out of the way gets adopted.

Say yes to AI

The tools will keep changing, and new models will keep arriving. What won’t change is the need to give teams the freedom to innovate while making sure spending decisions have clear ownership.

The companies that win with AI won’t be the ones that block it. They’ll be the ones that can say yes with confidence.

If that’s the challenge your organization is facing, I’d love to talk. See Wiv AIr in action.