Common ECM migration errors: why IDP and workflows stall
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.
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Low-Code
Practical guides to cross-team workflows, documents, shared data and responsible AI.
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32 publications
Implementing ECM: Why Big Bang Fails Pilots
Radical transitions to new ECM systems often cause business process disruptions. We examine how phased migration and pilot launches minimize operational risks.
Modern ECM architecture: balancing dynamic workflows and immutable archives
How to build a corporate ECM architecture that combines flexible approval workflows with ISO 15489-1 requirements and long-term legal validity of electronic signatures.
ECM, DMS, and electronic document management: what enterprises really buy
Why replacing a full ECM system with simple file storage creates critical legal risks when integrating with government services, and how to build a resilient corporate document management architecture.
AI and RPA: How data and risks define automation success
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Phased legacy ERP migration for uninterrupted transformation
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.
AI-driven Scriptum: The future of document and workflow automation by 2026
AI-driven Scriptum is set to transform document management and workflow automation by 2026, accelerating document processing and business process automation.
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 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.
RPA and low-code accelerate BPM processes with Scriptum by 2026
By 2026, over 80% of large enterprises plan to utilize integrated RPA and low-code solutions for business process automation, highlighting the critical role of platforms like Scriptum. This trend is driven by the need to enhance operational efficiency, reduce costs, and accelerate time-to-market for
AI automation in DMS: strategy for CIOs
Discover how AI centers are transforming document management, minimizing risks, reducing costs, and scaling business processes.
API-driven system integration accelerates enterprise time-to-market
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.