Knowledge
Resources & Glossary – Process Management, BPM & AI
Glossary
BPMN Process Modeling: Fundamentals and Practice in 2026
What is BPMN, how is it used, and how can you model processes without BPM experts? Notation basics and AI-assisted modeling explained.
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AI-Powered Process Optimization: Method and Business Value
How does process optimization with AI work? From as-is analysis through measures to the to-be process—structured and traceable.
Read article2026 trend
Agentic Workflows and Agentic BPM: What Leaders Should Know in 2026
Agentic AI in business processes: autonomous agents, Agentic BPM (APM), framed autonomy, and hybrid orchestration—explained for decision-makers.
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Process Simulation: Find Bottlenecks Before You Rebuild
What is process simulation in BPM? Walk through as-is and to-be processes, analyze wait times and parallel paths—methods and benefits.
Read articleMethodology
As-Is / To-Be Comparison: Transparency Before Implementation
Compare as-is and to-be processes: methodology, diff visualization, measure adoption, and common pitfalls.
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Process Mining: Making Processes Visible from Event Data
Process mining explained: event logs, conformance checking, bottleneck analysis, and interplay with AI and agentic BPM.
Read article2026 trend
Process-led AI: Why Processes Come Before Agents
Process-led AI explained: standardized, governed process models as guardrails for AI agents—a 2026 trend against “automation of chaos.”
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Governance and Human-in-the-Loop for AI Processes
Governance for AI in BPM: approvals, audit trail, human-in-the-loop, framed autonomy, and GDPR—a 2026 checklist.
Read articleMethod
Conversational Process Modeling: Capture Processes via Dialog
Conversational process modeling: capture business processes through AI dialog and model as BPMN—method, benefits, limits.
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