Understanding BPM versus RPA and workflow automation
A guide to BPM, RPA, and workflow automation for IT architects. Learn how to combine BPMN, DMN, and Process Mining to avoid technical debt and achieve end-to-end orchestration.
DECISIONS & DELIVERY
Practical guides to operating models, process automation, transformation governance, management data and controlled AI.
38 publications
A guide to BPM, RPA, and workflow automation for IT architects. Learn how to combine BPMN, DMN, and Process Mining to avoid technical debt and achieve end-to-end orchestration.
How to eliminate information desynchronization between accounting systems and document archives, ensure legal validity, and build a seamless architecture based on ISO 15489-1 and NIST CSF 2.0 standards.
Successful migration to modern intelligent ECM systems requires mandatory design of fallback rules in workflows and the creation of a high-quality training corpus for IDP models.
How to build a corporate ECM architecture that combines flexible approval workflows with ISO 15489-1 requirements and long-term legal validity of electronic signatures.
How to distinguish simple digitalization from a real need for ECM? An honest filter based on ISO and NIST standards for CIOs, COOs, and legal departments.
A clear distinction between the architectural differences of ECM, DMS, and EDM according to ISO standards and legislation to prevent errors in IT system design.
Why replacing a full ECM system with simple file storage creates critical legal risks when integrating with government services, and how to build a resilient corporate document management architecture.
Documents store facts, while business processes manage actions. Distinguish between DMS/ECM and BPM to avoid data silos and securely integrate AI agents.
AI readiness is defined by architectural data maturity. Transitioning from point-to-point integrations to a managed layer with a unified API contract prevents data processing errors.
RPA is a useful temporary bridge to legacy systems following an ERP deployment. However, automating Excel-based workflows, email approvals, and fragmented responsibilities often accelerates technical debt rather than resolving it.
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
AI analytics is transforming master data management (MDM) in 2026, ensuring accuracy and efficiency in enterprise system integration.