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.
TRADE OPERATIONS PRACTICE
Decision guides for contracts, orders, logistics, trade documents, finance, integrations, data and evidence-based AI.
27 publications
Learn how CIOs and IT directors can select processes for AI automation to achieve measurable business impact, rather than another pilot project without results.
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.
This Scriptum article explores how artificial intelligence can streamline companies' financial processes.
Implementing electronic document management in the public sector is a key factor in accelerating digital transformation. Megapolis.DocNet by InBase becomes a central element of this process, ensuring efficient document management and business process automation.
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.
Discover how AI centers are transforming document management, minimizing risks, reducing costs, and scaling business processes.
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.
Integrating enterprise systems via API is a key factor for quickly bringing new products and services to market. This approach ensures flexibility, scalability, and efficiency in data exchange across diverse IT landscapes.
Discover how AI and IDP are transforming document management, minimizing risks, accelerating processes, and enhancing efficiency for IT Directors.
Increasing data volumes and stricter regulatory requirements necessitate that organizations implement comprehensive Data Governance approaches. Effective system integration is a key factor in realizing these strategies.
Artificial intelligence offers new ways to automate document processing, turning unstructured data into valuable business insights.
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