Checklist for selecting electronic document management systems
A practical approach to choosing an electronic document management system: critical questions during demos to avoid overspending and reduce IT project value.
DECISIONS & DELIVERY
AI
Practical guides to operating models, process automation, transformation governance, management data and controlled AI.
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33 publications
AI optimizes logistics document flow
AI-driven automation of document management in logistics is essential for enhancing efficiency and regulatory compliance, but requires careful planning.
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.
NIS2 and AI: Securing electronic document flow with Scriptum.DMS
Integrating Scriptum.DMS with the NIS2 directive and AI enhances data protection and document workflow efficiency, particularly within the public sector.
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.
API Gateway with AI policies for microservice security
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
AI у master: data management and system integration
AI analytics is transforming master data management (MDM) in 2026, ensuring accuracy and efficiency in enterprise system integration.
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.
AI automation: How to Choose Processes That Deliver Real ROI
Learn how CIOs and IT directors can select processes for AI automation to achieve measurable business impact, rather than another pilot project without results.
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.
AI-driven ECM: The future of corporate content management by 2026
By 2026, over 70% of new enterprise content management (ECM) systems will integrate artificial intelligence capabilities to automate processes and enhance efficiency. This will transform ECM from a passive repository into a proactive decision-making tool.
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.