About ScaledAIOps

What is ScaledAIOps?

ScaledAIOps is an open framework that provides a structured, practitioner-tested approach to building, deploying, and operating AI systems across the enterprise. Inspired by frameworks like the Scaled Agile Framework (SAFe), it brings the same level of rigor and shared vocabulary to the emerging discipline of AI Operations.

Why This Exists

Organizations adopting AI face a common set of challenges: fragmented tooling, unclear ownership between data science and engineering, inconsistent deployment practices, and difficulty measuring real-world impact. ScaledAIOps addresses these gaps by providing a comprehensive reference that teams can adapt to their context.

Our Approach

• Practitioner-led: Every practice in the framework is grounded in real-world experience from teams operating AI in production.
• Non-commercial: ScaledAIOps is not a product. There are no certifications to sell, no consulting packages. It is a community resource.
• Open and evolving: The framework is open-source and welcomes contributions. AI operations is a rapidly changing field, and the framework evolves with it.
• Opinionated but adaptable: We provide clear recommendations while acknowledging that every organization's context is different.

How to Contribute

ScaledAIOps is hosted on GitHub under the Scaled-AIOps organization. You can contribute by:

• Submitting improvements or new content via pull requests
• Opening issues to discuss practices, propose changes, or report gaps
• Sharing your experience implementing these practices in your organization

License

All content is licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).