A Novel Enterprise Artificial Intelligence Architecture Framework (NAEF) for Business Capabilities to Decisions/Insights Analysis

This paper proposes a novel framework for architecting enterprise AI, emphasizing the integration of three frameworks-TOGAF, BADIR, and INSIGHT-to create a robust and comprehensive methodology. This integrated approach addresses the unique challenges and considerations inherent in designing, implementing, and managing AI systems within an enterprise context. This approach leverages the strengths of three distinct frameworks, TOGAF (The Open Group Architecture Framework), offers a structured approach to designing the data, application, and technology architecture necessary for AI implementation. Decisions Analysis, like BADIR (Business Question, Analysis Plan, Data, Insight, Recommendation), guides the translation of business objectives into data-driven decisions, ensuring AI initiatives are driven by clear business needs and result in actionable recommendations. Insights analysis is started by identifying key questions related to business processes and activities, guiding the design process with a focus on user feedback and iterative refinement, and promoting stakeholder engagement and data-driven decision-making. Simulated approach is provided in the paper as well as sample cases, integration considerations to legacy system, AI governance considerations and future directions.