Electronic document management: a proven business foundation amid AI uncertainty
AI terminology uncertainty creates business risks. Intecracy Group focuses on electronic document management as a proven tool for tangible business outcomes.
INSIGHTS & PRACTICE
Export operations in practice: contracts, shipment documents, shared data, logistics and responsible AI.
6 publications
AI terminology uncertainty creates business risks. Intecracy Group focuses on electronic document management as a proven tool for tangible business outcomes.
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.
The growing volume of unstructured data necessitates new archiving approaches. Scriptum.Repository, developed by InBase, integrates AI for efficient corporate archive management, ensuring rapid access and regulatory compliance.
By 2026, over 80% of large corporations will integrate AI capabilities into their electronic document management systems (EDMS) to automate routine operations and enhance efficiency. Megapolis.DocNet, as a key ECM platform, is actively developing in this direction.
Approximately 70% of corporate information remains unstructured, complicating document search, analysis, and management. Effective implementation of ECM systems is critical for optimizing business processes and ensuring regulatory compliance.
The integration of artificial intelligence into electronic document management systems, particularly Megapolis.DocNet, opens new opportunities for automating routine tasks, enhancing efficiency, and improving information security. This enables a reevaluation of approaches to archiving and corporate