Unlocking AI Project Success with the New MLOps Maturity Assessment

1. Evaluation Background

Amid the rapid development and transformation of AI engineering, deploying AI models to serve business needs and achieving large‑scale, fast iteration are key industry goals. To address long model delivery cycles, slow iteration, and cross‑team collaboration challenges, a mature AI project development and operations management system (MLOps) is essential.

2. Evaluation Basis

The assessment follows the "Artificial Intelligence R&D Operations Integration (Model/MLOps) Capability Maturity Model – Part 1: Development Management" standard, covering three capability domains—requirement management, data engineering, and model development—comprising 10 capability items, 28 sub‑items, and over 200 graded requirements.

3. Evaluation Items

1. MLOps Development Management Application Maturity Assessment

This assessment evaluates the technical and management level of enterprises that have applied MLOps to specific AI model projects, enabling horizontal benchmarking across projects and companies and establishing industry best‑practice references for continuous improvement of AI R&D operations.

The application maturity is graded into five levels—basic, professional, leading, excellent, and pioneering—based on standardized processes, versioned digital assets, pipeline automation, and visibility and traceability capabilities. The first pilot evaluation has been completed.

2. MLOps Development Management Service Capability Assessment

This assessment targets product‑service providers, objectively examining the capabilities of an enterprise’s MLOps platform or tools and systematically evaluating the service capability of AI model products. It benchmarks service levels across companies.

The service capability is divided into three levels—basic, enhanced, and flagship—evaluated on platform/tool functionality, automation, deliverable management, and delivery process management, covering requirement management, data engineering, and model development modules. The first pilot evaluation has been completed.

4. Evaluation Process

5. Registration

To register for the assessment, please contact:

Qin – 13488684897 (WeChat same number) – [email protected]

Hu – 17371328072 (WeChat same number) – [email protected]

Efficient Operations Community – Wei Huanxin – Phone: 18500255645 (WeChat same number) – Email: [email protected]

About the AI Engineering Promotion Committee

In October 2017, the Ministry of Industry and Information Technology approved the China Academy of Information and Communications Technology (CAICT) to build the AI Key Technology and Evaluation Laboratory. To further advance AI engineering, CAICT established the AI Engineering Promotion Committee, focusing on AI development tools, platforms, R&D operations and management, large‑model applications, knowledge computing, and AI dataset governance. The committee promotes standards, evaluations, best practices, and industry activities.

Enterprise application link: https://mp.weixin.qq.com/s/nZ_ZkBtk18lRyHuCkGEqCg

Source: Translated from the public account “Trusted AI Evaluation”.