# Design principles + Establish clear, measurable, and regularly reviewed key performance indicators (KPIs) across the entire supply chain to drive data-informed decisions and foster continuous improvement. + Empower supply chain teams with the necessary data, tools, and authority to make real-time, autonomous decisions that optimize operations and respond rapidly to dynamic conditions. + Prioritize and integrate artificial intelligence (AI) strategically within the supply chain, facilitating clear understanding of roles, responsibilities, and organizational structures to maximize AI-driven outcomes. + Implement robust processes for assessing and managing the operational readiness of new partners and for the comprehensive management and resolution of operational issues, including the validation of corrective actions. + Design and operate the supply chain application with inherent mechanisms to meet all relevant compliance and regulatory requirements. + Foster a culture and implement mechanisms for continuous evolution and adaptation of supply chain operations to use emerging technologies, best practices, and market dynamics. ## See also * **Skills for AI coding assistants (optional).** AWS publishes reusable skills for AWS Well-Architected. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query wellarchitected` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).