Process mining: visualizing real flows and shadow processes
Process Mining methodology reconstructs real task flows using digital footprints, revealing hidden bottlenecks and unauthorized workarounds invisible to management.
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Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
51 publications
Process Mining methodology reconstructs real task flows using digital footprints, revealing hidden bottlenecks and unauthorized workarounds invisible to management.
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implement AI into operational workflows using BPMN and DMN standards.
Why traditional process maps doom IT projects to failure and how to build effective automation based on real logs, BPMN 2.0, and DMN decision tables.
Balancing deterministic orchestration and probabilistic AI in enterprise systems to avoid technical debt and critical security risks.
Effective enterprise process automation requires separating workflow orchestration, flexible case management, and business rules. Learn how to avoid hardcoded logic and identify shadow routes.
A guide to prioritizing business processes for automation using process mining, BPMN/DMN standards, and evidence-based ROI calculation to avoid common pitfalls.
Transitioning from traditional ECM to Intelligent Information Management. How IDP and AI technologies automate corporate document processing while maintaining legal validity.
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.
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.
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.