DECISIONS & DELIVERY
Practical guides to operating models, process automation, transformation governance, management data and controlled AI.
35 publications
How to ensure the legal validity of digital documents at the enterprise level: an analysis of legislative requirements, cross-border compatibility, LTV formats, and configuring reliable audit trails.
Radical transitions to new ECM systems often cause business process disruptions. We examine how phased migration and pilot launches minimize operational risks.
AI terminology uncertainty creates business risks. Intecracy Group focuses on electronic document management as a proven tool for tangible business outcomes.
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
A practical approach to choosing an electronic document management system: critical questions during demos to avoid overspending and reduce IT project value.
AI-driven automation of document management in logistics is essential for enhancing efficiency and regulatory compliance, but requires careful planning.
Integrating AI with existing ECM and BPM systems to automate internal requests. A practical approach to classification, data extraction, and routing.
Integrating Scriptum.DMS with the NIS2 directive and AI enhances data protection and document workflow efficiency, particularly within the public sector.
Integrating Megapolis.DocNet with eSud optimizes business processes and interaction with government bodies, enabling the phasing out of outdated ECM systems.
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.
AI-driven Scriptum is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.
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.