How Roku is Scaling Anthropic with Continuous AI Governance and Hands-On Enablement

Overview

As Roku expands its use of Anthropic models through Google Cloud Vertex AI, the team wants to move quickly without losing visibility or control over AI usage and cost.

Roku is using nOps Continuous AI Value Optimization to create the financial and operational guardrails needed to scale Anthropic across the organization. Alongside the platform, nOps works directly with Roku teams through hands-on workshops to help them understand their usage, improve how they build with Anthropic, and establish best practices for scaling AI responsibly.

The result is a model that combines technology, governance, and enablement—giving Roku teams the freedom to continue building with AI while maintaining centralized control.

The Challenge

AI adoption can grow much faster than traditional cloud governance processes. As more teams experiment with Anthropic through Google Cloud Vertex AI, Roku needed a way to answer fundamental questions in real time:

• Where is the AI spend coming from?
• Which teams and workloads are driving consumption?
• How should budgets and limits be set?
• When should additional capacity be approved?
• How can teams continue scaling successful AI initiatives without creating uncontrolled spend?

Rather than restricting access, Roku wanted to build the controls that would allow Anthropic adoption to grow safely.

The Solution

Cost Visibility & Allocation. nOps gives Roku visibility into AI consumption and helps attribute spend to the teams, applications, agents, and workloads driving it. This creates accountability around AI usage while giving leadership a clearer understanding of where investment is going.

AI Anomaly Detection & Recommendations. As consumption changes, nOps helps identify unexpected spikes and changing usage patterns. Instead of waiting until the end of the month to discover an issue, teams can identify unusual spend earlier and take action while it is happening.

Continuous Budget Governance. Roku can establish budgets and usage guardrails around Anthropic workloads while maintaining flexibility for teams that need additional capacity. As usage grows, teams have the context needed to determine where limits should expand and where tighter controls may be appropriate. This gives Roku a centralized way to manage AI budgets and controls without creating a manual approval process for every AI initiative.

Hands-On Workshops Turn Governance into Better AI Practices

The nOps platform provides the ongoing controls, but Roku also wanted to help its teams become better at building with Anthropic.

nOps worked directly with Roku through hands-on workshops focused on real workloads and usage patterns. The sessions helped teams understand how they were consuming Anthropic, identify opportunities to improve their implementations, and connect technical decisions with their impact on AI cost and scalability.

Rather than treating AI governance as a finance-only exercise, the workshops brought together developers, AI usage, architecture, cost, and governance.

This creates a feedback loop: Build with Anthropic → understand usage → optimize → establish the right guardrails → scale successful workloads.

The Outcome: Building the Foundation to Scale AI

By combining the nOps platform with hands-on enablement, Roku is creating a repeatable operating model for scaling Anthropic. The approach gives Roku:

• Centralized visibility and allocation of Anthropic and Vertex consumption.
• Budgets and controls that can evolve as AI adoption grows.
• Early detection of runaway AI spend rather than discovering it on the next invoice.
• Data-driven decisions about limits and capacity, allowing more resources to go toward high-ROI AI initiatives.
• Hands-on enablement for development teams so they can build more effectively with Anthropic.
• A scalable governance framework that supports greater AI adoption instead of restricting it.