BPM AI Orchestration

How AI Transforms BPM and BPM Orchestrates the Intelligent Enterprise, Through BPM and AI
1. Auflage 2027
ISBN: 979-8-8688-3635-0
Verlag: APRESS L.P.

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Transform Business Process Management with AI—and use BPM to orchestrate AI-enabled operations across the enterprise. AI is changing how processes are discovered, modeled, analyzed, designed, executed, monitored, and continuously improved. At the same time, as organizations deploy AI, automation, Process Intelligence, and decision technologies at increasing scale, a second challenge is emerging: how to coordinate these capabilities with processes, data, systems, governance, and people as one coherent operating model. 

BPM AI Orchestration introduces an integrated approach to these two transformations. First, it shows how AI can be embedded across the BPM lifecycle, enabling conversational process discovery, intelligent modeling, predictive analysis, AI-assisted decision-making, adaptive execution, continuous performance intelligence, and AI-supported process improvement. Second, it explores how BPM itself can evolve beyond process modeling and workflow management into an enterprise orchestration layer that coordinates AI, decisions, automation, systems, governance, and human participation around end-to-end business processes. 

Rather than treating BPM, AI, Process Mining, decision management, and automation as separate disciplines or isolated capabilities, this book brings them together within a unified orchestration framework. Through practical frameworks, architecture models, use cases, patterns, anti-patterns, and an implementation roadmap, you will learn how to both transform BPM with AI and use BPM to orchestrate AI-enabled enterprise operations—moving from static processes and fragmented AI initiatives toward adaptive, governed, intelligent, and coordinated operations. 

What you will learn: 

• Understand how AI is reshaping BPM beyond traditional workflow automation 

• Distinguish automation, orchestration, and Process Intelligence 

• Apply AI across the end-to-end BPM lifecycle 

• Design BPM as an orchestration layer for AI-enabled enterprise operations 

• Integrate AI, Process Intelligence, decisions, automation, and human collaboration 

• Govern and scale AI across enterprise processes 

• Build a unified BPM AI Orchestration model for intelligent operations 

Who is it for: 

This book is for CIOs, CTOs, transformation leaders, heads of process excellence, BPM and Process Intelligence professionals, enterprise architects, AI and automation leaders, and consultants responsible for designing and scaling intelligent enterprise operations. It is particularly relevant to readers seeking to connect BPM, AI, Process Intelligence, automation, governance, and human decision-making within an integrated operating model.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Daliri Sereshkeh, Seyed Ahmad

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

Chapter 1 The Evolution of BPM: From Process Modeling to AI-Orchestrated Enterprises.- Chapter 2 Why Organizations Need BPM AI Orchestration.- Chapter 3 Core Concepts of BPM AI Orchestration.- Chapter 4 The AI-Oriented BPM Lifecycle.- Chapter 5 Voice-to-Process: Redefining Process Discovery and Modeling.- Chapter 6 Process Model Intelligence (Best Practice Matching & Benchmarking).- Chapter 7 Process Mining and Generative AI: From Insight to Action.- Chapter 8 Process Insight (BPM Analyze).- Chapter 9 AI-Driven Decision Management in BPM.- Chapter 10 JourneyCraft (UX/UI + Process Experience Design).- Chapter 11 AutoFlow (Process Automation Layer).- Chapter 12 Process Performance Management (PPM).- Chapter 13 Architecture of BPM AI Orchestration.- Chapter 14 Integration, RPA, and Event-Driven BPM in an AI-Orchestrated World.- Chapter 15 Organizational Design: The BPM AI Office.- Chapter 16 Business Process & AI Alignment.- Chapter 17 BPM AI Orchestration Use Cases.- Chapter 18 Case Patterns and Anti-Patterns.- Chapter 19 BPM AI Orchestration Roadmap.

Über Autor(innen)

Ahmad Daliri is an international Business Process Management (BPM) and transformation expert with more than 10 years of experience leading process improvement, digital transformation, and operational excellence initiatives across multiple industries including insurance, banking, manufacturing, ICT, and financial services and he contributes to cross-country transformation and process standardization initiatives focused on digitalization, governance, and AI-enabled operational improvement.

Ahmad is the author of multiple BPM books and the creator of several practical frameworks focused on Process Intelligence, BPM AI Orchestration, and AI-driven enterprise transformation. His work explores how organizations can move beyond traditional automation toward orchestrated, intelligent operating models that integrate AI, process mining, decision management, governance, and human collaboration.

Over the years, he has trained professionals and executives in more than 40 organizations and has been actively involved in building BPM capabilities, process governance structures, and enterprise transformation roadmaps.

Through this book, Ahmad brings together practical field experience, strategic transformation insights, and an emerging vision for how AI is reshaping the future of Business Process Management.