Selecting your automation strategy: Low-code vs. RPA vs. AI agents
Balancing deterministic orchestration and probabilistic AI in enterprise systems to avoid technical debt and critical security risks.
INSIGHTS & PRACTICE
Circular economy, repair, reuse and traceability, supported by our archive of practical guides to digital processes, documents and monitoring.
149 publications
Balancing deterministic orchestration and probabilistic AI in enterprise systems to avoid technical debt and critical security risks.
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.
Transitioning from traditional ECM to Intelligent Information Management. How IDP and AI technologies automate corporate document processing while maintaining legal validity.
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.
Radical transitions to new ECM systems often cause business process disruptions. We examine how phased migration and pilot launches minimize operational risks.
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.
Industrial IoT provides production data for analytics and predictive maintenance, but it also exposes OT systems to new risks. A practical approach involves standardizing data exchange via OPC UA, building cybersecurity based on ISA/IEC 62443, and never treating any protocol as a substitute for netw