BPM and document management: defining the boundary
Documents store facts, while business processes manage actions. Distinguish between DMS/ECM and BPM to avoid data silos and securely integrate AI agents.
INSIGHTS & PRACTICE
Process Automation
Practical guides to business-process automation: from the first assessment to measurable results.
36 publications
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.
Integrating AI with ECM/BPM for internal request automation
Integrating AI with existing ECM and BPM systems to automate internal requests. A practical approach to classification, data extraction, and routing.
AI and RPA: How data and risks define automation success
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Phased legacy ERP migration for uninterrupted transformation
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.
Industrial IoT and SCADA: Key Trends for 2026
Industrial IoT and SCADA systems are transforming manufacturing. We examine the key trends for 2026: AI, cybersecurity, cloud solutions, and integration.
Industrial IoT and SCADA trends for 2026
Industrial IoT and SCADA: key trends for 2026. Integration of AI, cloud solutions, and cybersecurity for manufacturing automation.
AI-driven Scriptum: The future of document and workflow automation by 2026
AI-driven Scriptum is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.
RPA and low-code: synergy for complex BPM automation by 2026
By 2026, over 80% of large enterprises will leverage a combination of RPA and low-code platforms to optimize business processes. This approach accelerates development time and enhances automation efficiency.
Low-code для бізнесу: можливості платформи (2026)
Discover how the combination of AI and low-code platforms enables CIOs to rapidly automate business processes, minimize risks, and optimize operations.
Optimizing legacy system migration to hybrid infrastructure by 2026
By 2026, over 80% of enterprises will adopt hybrid or multi-cloud strategies for IT infrastructure management. This presents new challenges for legacy system migration, requiring a comprehensive approach and adaptive solutions.
AI-driven low-code accelerates BPM development by 2026
By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. Integrating artificial intelligence into these platforms significantly speeds up the creation and optimization of BPM systems.