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.
INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
38 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.
Implementing the Zero Trust model for legacy systems presents a critical challenge, requiring in-depth analysis of architecture and business processes. The key question remains the choice between full migration and adapting existing solutions.
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.
Electronic document management systems are evolving to offer businesses new optimization opportunities, with AI-driven features becoming crucial.
This Scriptum article explores how artificial intelligence can streamline companies' financial processes.
By 2026, companies will face intensified cybersecurity demands and the need to optimize ISO/IEC 27001 audit processes. The application of artificial intelligence will significantly automate this process, minimizing human errors and reducing preparation time.
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.
InBase has published recommendations for companies on effectively updating their electronic document management systems.
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.