INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
21 publications
Explore effective methods for integrating legacy systems lacking native APIs, overcoming data integrity issues, and minimizing security risks in enterprise environments.
Unorganized and low-quality data hinder AI initiatives, necessitating robust data governance and lineage for reliable outcomes in critical business operations.
Explores architectural strategies for managing integration chaos in modern enterprise environments through API gateways and schema registries.
This article explores the critical choice between message brokers and streaming platforms in event-driven architectures to maintain data integrity and system scalability.
Fragmented data landscapes and undefined data ownership are critical bottlenecks in modern enterprise architectures, impacting operational reliability and integration stability.
This article explores the challenges of direct system integrations and outlines when to transition to managed integration layers like an ESB, API Gateway, or message broker.
Integrating AI agents into business processes presents a conflict between their dynamic capabilities and the need for structured control, impacting operational efficiency and security.
Explore how evidence-based process discovery, rule separation, and iterative pilots can overcome common automation project failures and drive continuous operational improvement.
Explore how separating complex business logic from process flows using BPMN, CMMN, and DMN enhances operational flexibility and adaptability.
This article explores the challenges of automating business processes based on subjective perceptions and offers a data-driven approach to ensure successful digital transformation.
This article clarifies the roles of Business Process Management, Robotic Process Automation, and workflow automation in optimizing enterprise operations.
Information fragmentation arises when enterprise content management operates in isolation from business processes, affecting data integrity and compliance.
