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This cluster examines the application of artificial intelligence to automate, optimize, and support decision-making within business processes.
Defines the scope and boundaries for integrating AI components into business processes, covering interfaces, data flows, process architecture, security and governance requirements, and interoperability and monitoring aspects relevant to process integration. Excludes detailed AI model architectures, model training, MLOps implementations, specific implementation roadmaps, ongoing operations, tool-specific configurations and operational project plans.
Concept for automating decisions using explicit rules, decision models and decision services within software and business processes.
A combination of traditional process automation and cognitive services to automate complex business processes with adaptive exception handling.