AI in Business Processes
This cluster examines the application of artificial intelligence to automate, optimize, and support decision-making within business processes.
- Knowledge domains
- /Thematic areas
- /Segments
- /Building blocks
AI-Assisted Decision-Making
A conceptual framework for using AI to support and scale human decision-making with data-driven insights.
Decision Support Systems
A concept for information systems that combine data, models and interactivity to improve decision-making processes.
AI in Customer Service
Concept for using AI in customer support to automate workflows, personalize interactions and integrate with existing CRM processes.
AI in Operations
Concept for using AI models and data-driven automation to support IT operations, monitoring and incident management.
Process Optimization
Systematic approach to analyze and improve processes to increase efficiency, quality, and throughput.
Productivity Improvement
An approach for systematically increasing value created and throughput across teams and organizations using process optimization, metrics and continuous improvement.
Decision Automation
Concept for automating decisions using explicit rules, decision models and decision services within software and business processes.
Intelligent Process Automation
A combination of traditional process automation and cognitive services to automate complex business processes with adaptive exception handling.