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.
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Practical guides to cross-team workflows, documents, shared data and responsible AI.
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23 publications
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.
AI-driven data governance for system integration quality
By 2026, over 70% of successful digital transformation initiatives will rely on an effective Data Governance strategy integrated with artificial intelligence capabilities. This will enable addressing data quality issues critical for system integration. The increasing complexity of enterprise IT land
Scriptum.Repository: Managing corporate archives in the AI era
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.
AI automation in DMS: strategy for CIOs
Discover how AI centers are transforming document management, minimizing risks, reducing costs, and scaling business processes.
AI in document management: key benefits
Discover how AI and IDP are transforming document management, minimizing risks, accelerating processes, and enhancing efficiency for IT Directors.
Electronic Document Management 2026: AI-assistants and archiving automation
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
AI Agents in Enterprise Systems: From Routine Automation to Decision Support
AI agents extend beyond chatbots, integrating into business processes within corporate systems to perform actions rather than merely answering questions.
UnityBase 6.0: New Low-Code Platform Version with AI Module Support
The UnityBase platform now features built-in AI modules for document analysis, report generation, and intelligent process routing.