The future of BPM: Deploying AI agents for first-line workflow processing
How to combine the flexibility of AI with the rigid logic of BPMN 2.0 and DMN to automate first-line request processing without security risks or operational chaos.
INSIGHTS & PRACTICE
AI for circularity
Circular economy, repair, reuse and traceability, supported by our archive of practical guides to digital processes, documents and monitoring.
21 publications
The future of document processing: how AI and IDP will evolve by 2027
Transitioning from traditional ECM to Intelligent Information Management. How IDP and AI technologies automate corporate document processing while maintaining legal validity.
Avoiding the typical ECM migration pitfalls that block IDP and workflow progress
Successful migration to modern intelligent ECM systems requires mandatory design of fallback rules in workflows and the creation of a high-quality training corpus for IDP models.
Automating Internal Requests: Merging AI with ECM/BPM Systems
Integrating AI with existing ECM and BPM systems to automate internal requests. A practical approach to classification, data extraction, and routing.
The Impact of Data and Risk Management on AI and RPA Success
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Selecting the Right Processes for Real AI Automation 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.
Можливості Low-code платформ для розвитку бізнесу (2026)
Discover how the combination of AI and low-code platforms enables CIOs to rapidly automate business processes, minimize risks, and optimize operations.
DMS AI Automation: A Strategic Blueprint for CIOs
Discover how AI centers are transforming document management, minimizing risks, reducing costs, and scaling business processes.
Integrating EDMS and AI by 2026: The Megapolis.DocNet Vision
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.
How AI transforms document management: Main advantages
Discover how AI and IDP are transforming document management, minimizing risks, accelerating processes, and enhancing efficiency for IT Directors.
Streamlining Data Tasks with AI in Document Management
Artificial intelligence offers new ways to automate document processing, turning unstructured data into valuable business insights.
The Business Benefits of AI-Powered Document Processing
Artificial intelligence is revolutionizing primary document processing, eliminating manual labor and enhancing accuracy.