Hyperautomation with Camunda, Flowable, Agentic AI, and the Cloud is a practical guide for technologists, architects, and business leaders navigating the shift from traditional workflow automation to intelligent, self-directing systems. The book frames hyperautomation not as a single tool but as a layered discipline — combining business process management (BPM) engines like Camunda and Flowable with the elasticity of cloud-native infrastructure and the judgment of AI agents. Readers are introduced to the foundational concepts of BPMN, DMN, and CMMN, then shown how those standards become the connective tissue between deterministic workflows and probabilistic AI components.

The core of the book walks through how to design, deploy, and operate orchestration ecosystems that scale. Camunda and Flowable are compared side by side — their engines, modelers, runtimes, and deployment patterns — with concrete guidance on choosing between them based on team skills, licensing, and architectural fit. From there, the focus shifts to agentic AI: how to embed LLM-powered agents into business processes so they can reason about exceptions, summarize unstructured data, call external tools, and hand control back to deterministic steps when human approval or auditability is required. Cloud-native patterns — Kubernetes, event-driven messaging, serverless tasks, observability, and zero-trust security — are treated as first-class concerns rather than afterthoughts, with architectural blueprints for AWS, Azure, and GCP.

The closing chapters tie everything together with implementation strategy, governance, and measurable outcomes. Readers will find guidance on rolling out hyperautomation incrementally, building centers of excellence, managing model and process drift, and quantifying ROI in terms of cycle time, error rates, and cost-to-serve. Case-style examples span finance, insurance, healthcare, and supply chain, illustrating how the same orchestration backbone supports very different domains. By the final pages, the reader should have both a mental model and a concrete playbook for assembling intelligent, resilient automation ecosystems that can evolve as standards, models, and cloud platforms continue to change.

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Preface — v Introduction: Lessons from the Age of Machines — 9 Part I — Foundations What Hyperautomation Really Means — 14 Process Modelling for Banking and Insurance — 21 BPMN as the Language of Orchestration — 28 DMN: Separating Decisions from Flow — 33 The Rules Language: Fundamentals — 37 Decision Tables in Depth — 41 Decision Models: the DRD and Decision Composition — 45 DMN and BPMN: the Decision in the Process — 49 Part II — Workflow Engines and Process Architecture 9. Workflow Engines and Process Orchestration — 54 10. Camunda 7 versus Camunda 8 Architecture — 57 11. Human Workflows versus Straight-Through Processing — 61 12. Microservices Orchestration with Camunda — 65 13. Event-Driven Process Automation — 69 Part III — A Reference Architecture 14. What Goes Where: A Modern Hyperautomation Architecture — 74 15. AWS Step Functions and Camunda Compared — 80 16. The Java Saga Pattern and Where It Fits — 85 17. Enterprise Architecture: Where a Process Engine Fits — 90 18. Solution Architecture and the Workflow — 94 19. Technology Architecture and the Workflow — 98 20. BIAN, the Service Landscape, and the Workflow — 102 Part IV — Architecture 21. The Camunda Orchestration Core — 107 22. Decision Services and Predictive Models — 112 23. The Agentic Layer — 120 24. The Cloud Platform — 125 25. Integration with Core Banking and Insurance Systems — 129 26. Data, Identity, and the Security Model — 135 Part V — Key Camunda Components 27. The Engine and the Runtime — 141 28. Modelling, Operating, and Connecting — 146 29. Routing: Gateways and the Control of Flow — 151 30. Task Allocation and the Management of Human Work — 157 31. Java Integration: Delegates and the Embedded Engine — 164 32. Job Workers and the External-Task Pattern — 170 33. Connectors in Depth — 176 34. Event-Driven Process Design — 182 35. Security and Identity: Authentication and Authorization — 188 36. The Process API — 199 37. Starting a Process — 204 38. The Task API — 209 39. Listeners: Hooking into the Lifecycle — 215 40. Asynchronous Continuations and the Transaction Boundary — 220 41. Error Handling in the Worker — 225 42. Camunda Forms: the Human Interface — 231 43. Service Levels, Timers, and Calendar Management — 235 44. Camunda Patterns — 240 45. Camunda Antipatterns — 244 46. Advanced Task Allocation — 248 47. Starting Camunda Processes in Practice — 253 48. Completing, Searching for, and Reassigning Tasks — 257 49. Call Activities: Composing Processes from Processes — 268 50. Subprocesses: Structure, Scope, and Boundary — 273 51. Parallel Work and Multi-Instance Activities — 279 52. The Camunda 8 Components in Depth — 284 Part VI — Connectors in Depth 53. The Connector Model and the Connector Types — 290 54. The Key Connectors in Practice — 294 55. Building a New Connector — 300 Part VII — Infrastructure 56. Where the Platform Runs: Deployment and Topology — 305 57. Scaling, Resilience, and Backup — 310 58. Infrastructure as a Governed Artefact — 315 Part VIII — Running Camunda on Kubernetes 59. Camunda on a Kubernetes Cluster — 320 60. The Anatomy of a Camunda Kubernetes Cluster — 324 61. The Cluster With and Without Kafka — 328 Part IX — Advanced Workflow Patterns 62. Parallelization: Doing Work at Once — 333 63. Compensation: Undoing Work That Cannot Be Rolled Back — 337 64. Callbacks, Correlation, and Waiting for the World — 341 Part X — Batch Processing Workflow Patterns 65. Batch Processing in a Process-Orchestration World — 346 66. Batch Workflow Architecture Patterns — 350 67. Batch and Real-Time: the Boundary — 353 Part XI — Comparing Workflow Platforms 68. Choosing an Orchestration Approach — 358 69. Camunda as the Baseline — 362 70. Flowable: The Closest Relative — 366 71. AWS Step Functions and the Java Saga, Revisited — 369 72. IBM Business Automation Workflow and the Proprietary Suites — 374 73. webMethods and the Integration-Platform Approach — 380 Part XII — Migrating to Camunda 74. The Anatomy of a BPM Migration — 385 75. Migrating from IBM Business Automation Workflow — 391 76. Migrating the BPMN Process Model — 399 77. Migrating Coaches and Coach Views — 403 78. Migrating Integration and System Services — 409 79. Migrating Server-Side Script — 414 80. Migrating Business Objects — 419 81. Migrating Toolkits and Shared Assets — 423 82. Migrating the WebSphere Runtime — 430 83. Migrating In-Flight Process Instances — 435 84. Migrating BAW Team Services — 440 85. Migrating ECM Integration — 444 86. Migrating from webMethods and Oracle — 450 87. Migrating from jBPM and Closing the Migration — 455 Part XIII — BPEL and the Migration to BPMN 88. What BPEL Is, and Why It Still Matters — 460 89. Migrating BPEL Processes to BPMN in Camunda — 464 90. Migrating BPEL and SCA Modules — 469 Part XIV — Java Implementation for Camunda 91. Java Design Patterns and SOLID Principles for Camunda — 475 92. The Java Toolchain and the Spring Boot Starter — 479 93. Building Job Workers in Java — 484 94. The Java Client: Driving the Engine from Code — 490 95. Testing Camunda Processes in Java — 498 96. Production-Grade Java: Hardening the Implementation — 503 97. Troubleshooting and Operating Running Instances — 509 Part XV — Camunda and Low-Code Platforms 98. The Low-Code Landscape and Where Camunda Fits — 517 99. Integrating Camunda with Liferay and the Experience Layer — 521 100. Governing the Low-Code and Orchestration Estate — 524 Part XVI — Integrating with ECM and Document Management 101. Documents, Content, and the Process — 528 102. Connecting Camunda to a Content Repository — 533 103. Governing Documents Across the Process Estate — 538 Part XVII — Integrating with Core Banking Systems 104. The Core Banking System as a System of Record — 543 105. Integrating with Temenos and Oracle FLEXCUBE — 548 106. Integrating with Mambu and SAP — 552 107. Core Banking Integration Patterns — 556 Part XVIII — Integrating with Insurance Systems 108. The Policy Administration System as a System of Record — 561 109. Integrating with Oracle Insurance and the Major Suites — 565 110. Underwriting, Claims, and the Insurance Process Estate — 569 111. Insurance Integration Patterns — 573 Part XIX — Integrating with CRM and Master Data 112. The CRM and the Customer View — 577 113. Master Data Management and the Golden Record — 581 114. Integrating with Salesforce and Microsoft Dynamics — 585 115. Customer Data Integration Patterns — 589 Part XX — Integrating with Payment Systems 116. The Payments Landscape — 594 117. Authorization, Clearing, and Settlement — 598 118. Integrating with Schemes, Processors, and PayPal — 602 119. Payment Integration Patterns — 606 Part XXI — Applications 120. Customer Onboarding and Identity — 611 121. Lending and Credit Origination — 616 122. Payments, Disputes, and Exceptions — 620 123. Insurance Underwriting and Claims — 625 124. Servicing and the Ongoing Relationship — 630 Part XXII — Operations 125. Observability and Process Monitoring — 635 126. Testing, Validation, and Model Risk — 640 127. Regulation, Fairness, and Explainability — 644 128. The Economics of Hyperautomation — 649 129. The Operating Model and the Road Ahead — 654 Part XXIII — Camunda and Data 130. The Data Architecture of a Camunda Platform — 660 131. Process Mining — 664 132. Camunda Optimize — 668 133. Streaming Process Data with Kafka — 672 Part XXIV — Large Language Models and RAG with Camunda 134. Large Language Models as a Process Capability — 677 135. Retrieval-Augmented Generation in the Process — 681 136. Prompts, Context, and the Cost of Language Models — 685 Part XXV — Agentic AI 137. What an Agent Is, and Why It Needs a Process — 690 138. Agentic BPMN: Modelling the Agent in the Process — 695 139. Multi-Agent Processes and the Future — 699 Part XXVI — Security 140. The Security Posture of a Process Platform — 707 141. Protecting the Data the Platform Holds — 711 142. Secrets, Threats, and the Secure Operating Discipline — 715 Part XXVII — Security and API Token Management with Camunda 143. Authenticating to Camunda: the Token Model — 720 144. API Clients, Credentials, and the Token Lifecycle — 724 145. Token Management as a Security Discipline — 728 Part XXVIII — Ad-hoc Processes 146. When the Path Is Not Known in Advance — 733 147. Ad-hoc Work, Agents, and the Edge of Automation — 738 Appendices A. A Modelling Reference for BPMN and DMN — 742 B. Implementation Patterns — 745 C. A Regulatory and Governance Reference — 748 Glossary — 751

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