SCOPS06-BP01 Establish an org that fosters collaboration, data-driven decision-making, and continuous innovation in AI-driven operations - Supply Chain Lens
Implementation guidance

SCOPS06-BP01 Establish an org that fosters collaboration, data-driven decision-making, and continuous innovation in AI-driven operations

To truly realize the benefits of AI in the supply chain, an organization's structure must be purposefully designed to support it. This involves evaluating the current structure to identify and remove potential barriers to AI integration. Defining new roles and reporting lines for AI-related functions, such as AI product owners or MLOps engineers, is crucial.

Establishing cross-functional teams for specific AI projects and implementing agile development processes for AI solutions can significantly accelerate development and deployment. Additionally, developing a robust data governance framework supports data quality and accessibility, which are fundamental to AI success.

By investing in training and upskilling programs, organizations can further enhance their ability to attract and retain AI talent, leading to greater agility and adaptability in response to market changes.

Desired outcome: An organizational structure that seamlessly integrates AI into supply chain operations, enabling efficient development, deployment, and ongoing optimization of AI-driven solutions.

Benefits of establishing this best practice:

  • Accelerated development and deployment of AI solutions.

  • Improved collaboration and knowledge sharing across functions.

  • Enhanced ability to attract and retain AI talent.

  • More efficient resource allocation for AI initiatives.

  • Greater agility and adaptability in response to market changes.

Level of risk exposed if this best practice is not established: Medium

Implementation guidance

  • Evaluate your current organizational structure to identify potential barriers to AI integration and Define roles and reporting lines for AI-related functions.

  • Consider a hub-and-spoke model for AI, where a central Center of Excellence supports distributed teams across different supply chain functions.

Implementation steps

  1. Assess the current organizational structure and identify areas for optimization to support AI.

  2. Define new roles and responsibilities for AI-related functions (for example, AI product owner, MLOps engineer).

  3. Establish cross-functional teams for specific AI projects.

  4. Develop a data governance framework to maintain data quality and accessibility.

  5. Implement agile development processes for AI solution creation.

  6. Invest in training and upskilling programs for employees.

Prepare