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This cluster examines the application of artificial intelligence to automate, optimize, and support decision-making within business processes.
Scope: This segment covers conceptual structuring of AI-driven decision support within business processes, including decision models, data requirements, integration points and criteria for model selection. Exclusion: implementation details, specific tools, operational runbooks and organizational role assignments are outside the scope. Also excluded are performance metrics, monitoring concepts and legal compliance implementations.
A conceptual framework for using AI to support and scale human decision-making with data-driven insights.
A concept for information systems that combine data, models and interactivity to improve decision-making processes.