| AI Strategy Framework Principles |
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| Platform-Oriented AI Architecture |
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| Human-in-the-Loop Oversight |
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| Security and Privacy Embedded |
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| Automation with Accountability |
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| Ethical Data Use by Default |
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| Reuse Before Build |
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| Model Explainability Required |
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| RAG-First Information Delivery |
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| Continuous Monitoring and Improvement |
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| Transparency by Design |
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| AI Center of Excellence Principles |
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| Fairness & Bias Mitigation |
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| Model Transparency & Explainability |
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| Transparency by Design |
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| Responsible AI |
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| Security-by-Design |
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| Reliability, Safety & Quality |
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| RAG-First Information Delivery |
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| Data Privacy & Protection |
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| AI Transparency |
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| Ethical Data Use |
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| Accountability & Human Oversight |
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| Model Lifecycle Governance |
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| API Management |
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| Contract-First Design |
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| Lifecycle Governance |
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| Loose Coupling |
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| Application Principles |
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| API-Centric Integration |
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| Event-Driven Design |
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| Microservices First |
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| Reuse Before Build |
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| Security by Default |
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| Security Principles |
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| Auditable and Compliant |
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| Secure by Default |
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| Zero Trust |
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| Technology Principles |
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| Automation Everywhere |
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| Cloud-Smart, Not Cloud-First |
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| Observability as a First-Class Requirement |
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| Standardized Technology Stack |
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| Dev/Ops |
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| Observability and Operability |
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| Platform Reuse |
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| Business Principles |
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| Agility Over Rigidity |
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| Business-Driven Architecture |
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| Customer-Centered Experience |
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| Data Principles |
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| Open Data Interoperability |
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| Single Source of Truth |
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| Data Is a Strategic Asset |
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