GenAI for Process Modelling & BPM

Understand how business process management systematically analyzes, designs, and improves operations to align with strategy, using BPMN and EPC for visual, data-driven process insights.

Explore the four BPM types—human-centric, document-centric, integration-centric, and intelligent BPM with process mining, artificial intelligence, and advanced analytics—to optimize collaboration, governance, system integration, and data-driven process improvement.

Leverage AI-driven bpm to move from manual, workshop-based process design to AI-assisted modeling with text-to-process generation and auto-generated insights. Achieve continuous intelligence, ongoing optimization, and stronger human–ai collaboration.

AI augments the BPM lifecycle from discovery to monitoring, enabling instant process views, AI-assisted modeling, automated insights, and continuous anomaly detection.

Explore AI-powered bpm tools like Signavio, Eris, iGraphics, and Salonis, and learn how AI across modeling, mining, governance, and process discovery drives the full BPM lifecycle.

GenAI offers speed in process modeling but can misstate BPMN structure, handle complex scenarios, and misalign with business context; validate, govern, and refine to ensure enterprise-ready models.

Explore the difference between business process management and business process model and notation, showing how BPM governs design and improvement of processes while BPMN provides standardized diagrams to visualize them.

Gen AI accelerates bpm modelling by drafting models from natural language and inputs, enriching with process mining context, and serving as a co-pilot for documentation, training, and knowledge sharing.

Master prompt engineering for generative AI in BPM and process modeling by defining scope, roles, structure, and context to produce usable BPMN process models; refine prompts iteratively using ARIS AI.

Explore ARIS AI Companion's text-to-process capability to generate BPMN processes from natural language prompts and documents, with AI insights for process mining and dashboards.

Learn how iGraphics uses Pia to turn natural language into order-to-cash process diagrams, customize steps, add a due date, translate to German, and revert changes with version control.

Explore BPMN.io, a free open-source tool by Camunda, to visually design BPMN process maps, model DMN decisions, build JSON-based forms, and export SVG or XML without an account.

Explore six sigma, lean, process intelligence, bpm, kaizen, and tqm as diverse process improvement techniques with different focuses. Use ai-enabled end-to-end transformation to apply these approaches and improve customer satisfaction.

Explore how lean reduces waste to speed processes, while Six Sigma reduces variation and defects with data-driven methods, producing faster and more reliable BPM processes.

Learn how process mining reconstructs the as-is process from event data, enabling discovery, conformance, and performance analysis to uncover bottlenecks and drive improvement.

Learn how the AI companion in AERIS accelerates process mining by generating data driven insights and visuals, with ready prompts and easy component reuse in the app builder.

Discover how AI agents reason, plan, and act in business processes, using large language models to process text, voice, images, and code to pursue goals.

Orchestrate end-to-end business processes by coordinating tasks across systems with correct order and dependencies, enhanced by AI, low-code tools, and agentic decision making for visibility and scalability.

Learn how workflow orchestration coordinates end-to-end tasks, how automation handles tasks, how data orchestration moves and transforms data, and how process orchestration aligns people, systems, and workflows to business outcomes.

Leverage ai-powered intelligent document processing to convert unstructured documents like invoices and emails into structured data via optical character recognition, natural language processing, and data extraction for bpm workflows.

RPA uses software bots to mimic human actions and automate repetitive UI-based tasks across systems, acting as a digital worker, and offers faster implementation and quicker adaptation than traditional automation.

Complete the course by applying generative AI to process modeling and BPM, stay relevant with the latest tech, and download your certificate.