Managing automation projects: Process discovery, pilots, and continuous improvement
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.
DECISIONS & DELIVERY
Low-Code
Practical guides to operating models, process automation, transformation governance, management data and controlled AI.
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41 publications
Low-code, RPA, or AI agent: choosing the right approach
Balancing deterministic orchestration and probabilistic AI in enterprise systems to avoid technical debt and critical security risks.
Process modeling standards: BPMN, CMMN, and DMN
Effective enterprise process automation requires separating workflow orchestration, flexible case management, and business rules. Learn how to avoid hardcoded logic and identify shadow routes.
Prioritizing business processes for automation: signals, metrics, and ROI
A guide to prioritizing business processes for automation using process mining, BPMN/DMN standards, and evidence-based ROI calculation to avoid common pitfalls.
IDP and AI in document management by 2027
Transitioning from traditional ECM to Intelligent Information Management. How IDP and AI technologies automate corporate document processing while maintaining legal validity.
Common ECM migration errors: why IDP and workflows stall
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.
Implementing ECM: Why Big Bang Fails Pilots
Radical transitions to new ECM systems often cause business process disruptions. We examine how phased migration and pilot launches minimize operational risks.
Modern ECM architecture: balancing dynamic workflows and immutable archives
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.
ECM, DMS, and electronic document management: what enterprises really buy
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.
Integration architecture patterns for AI readiness: from chaos to Data Fabric
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 after ERP: A Bridge or a Digital Patch?
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.
Recursive AI self-improvement: preparing businesses for new challenges
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.