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Cloudflare expands Cloudflare OS ecosystem with enterprise app integrations and deployment partners
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Cloudflare is expanding the partner ecosystem for Cloudflare OS, its AI workspace designed to help businesses build and deploy AI-powered tools within their existing workflows.
The expanded ecosystem brings integrations with enterprise applications including Asana, Box, Canva, ClickHouse, GitHub, Gong and Notion. Cloudflare is also partnering with deployment and professional services teams, including EPAM, HappyCog and Towards AI, to help organisations adopt the platform and translate business processes into AI-powered workflows.
The move addresses a growing enterprise challenge: enabling employees to use AI productively while maintaining control over sensitive data, security and operational costs.
Connecting AI to Existing Enterprise Applications
Cloudflare OS is designed to let employees describe an automation or internal tool they need and have the platform build and deploy it, connecting it to relevant business systems.
The new integrations bring commonly used enterprise applications into that environment, allowing administrators to connect resources while controlling what data individual tools and agents can access.
The integrations support a range of business workflows. Asana can help agents track project progress and identify blockers, while Box connects enterprise content to AI-powered workflows. Canva enables AI assistants and agents to work with designs and create visual content, and ClickHouse supports workflows built around live operational data.
Connections with GitHub, Gong and Notion further extend the potential use of AI across software development, sales intelligence and organisational knowledge.
Security and Control for Enterprise AI
Cloudflare is positioning Cloudflare OS around the need to balance AI adoption with enterprise security and governance.
As employees increasingly turn to AI tools to speed up everyday work, organisations face risks involving sensitive information, unapproved applications and AI-generated outputs that may not receive adequate review.
Cloudflare OS runs on Cloudflare's infrastructure rather than on employee laptops. According to the company, this provides security teams with greater visibility and control over the environment in which AI-powered tools operate.
The platform is also designed to connect each tool or agent only to the data required for its task, helping organisations maintain access controls as they introduce more automation into business processes.
Managing AI Usage and Costs
Alongside security, Cloudflare is addressing the operational costs associated with deploying AI at scale.
Cloudflare OS incorporates Cloudflare AI Gateway, which helps teams select models for different tasks and manage usage, including token consumption.
Model selection and usage visibility can become increasingly important as organisations move from isolated AI experiments to workflows used across departments. Without appropriate oversight, growing usage can create additional costs and make it harder for technology teams to understand how AI resources are being consumed.
Cloudflare's approach combines model access, workflow development and infrastructure controls within the same environment.
Deployment Partners to Support Adoption
Cloudflare is also working with EPAM, HappyCog and Towards AI to help businesses implement Cloudflare OS and train employees to use AI tools effectively.
These partners are intended to help organisations identify relevant workflows, configure AI-powered agents and connect them to the systems employees already use.
The partnerships reflect a practical challenge in enterprise AI adoption. Access to tools alone does not guarantee that organisations will integrate them successfully into day-to-day operations. Teams must also determine which processes to automate, establish appropriate controls and help employees adapt to new ways of working.
Deployment support is intended to help organisations move beyond experimentation and apply AI to specific operational needs.
Built From Cloudflare's Own Experience
Cloudflare developed Cloudflare OS for its own teams before expanding the platform to customers.
CEO and co-founder Matthew Prince said the company built the workspace internally and saw how it could help teams work faster while maintaining security. The company is now extending that approach to organisations that want to connect AI capabilities with widely used enterprise applications.
The strategy brings together Cloudflare's infrastructure and security capabilities with a workspace designed to make the creation and deployment of AI-powered tools more accessible to employees.
Moving Enterprise AI Into Everyday Work
The expanded Cloudflare OS ecosystem points to a broader enterprise AI priority: connecting AI capabilities to the applications, information and processes that already underpin business operations.
For organisations, the challenge is increasingly about putting AI to work in a controlled and useful way, rather than simply providing access to models. That requires suitable integrations, clear permissions, cost management and support for implementation.
By expanding its application integrations and deployment partnerships, Cloudflare is seeking to make Cloudflare OS a practical environment for building and operating AI-powered workflows across the enterprise.
About Cloudflare
Cloudflare is a connectivity cloud company that provides services designed to improve the security, performance and reliability of applications, networks and online services. Its platform combines network infrastructure, security products and developer tools. Cloudflare OS is its AI workspace for building and deploying AI-powered tools connected to enterprise systems.