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.
INSIGHTS & PRACTICE
Practical guides to data, integrations, enterprise platforms and applied AI.
249 publications
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.
How to secure legacy ERP systems without rewriting code. Implement Zero Trust using IAP, PAM, and microsegmentation to mitigate access risks effectively.
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.
Documents store facts, while business processes manage actions. Distinguish between DMS/ECM and BPM to avoid data silos and securely integrate AI agents.
A sudden surge in indexed URLs may signal a security breach or a technical configuration issue. Learn how to localize threats and protect SEO without hasty actions.
AI readiness is defined by architectural data maturity. Transitioning from point-to-point integrations to a managed layer with a unified API contract prevents data processing errors.
How to protect corporate LLM systems from Prompt Injection and data leaks at the architectural level in 2025, following NIST AI RMF and OWASP standards.
Building real enterprise cyber resilience in the NIS2 era, avoiding paper audit traps, and protecting infrastructure through Security by Design.
RPA is a useful temporary bridge to legacy systems following an ERP deployment. However, automating Excel-based workflows, email approvals, and fragmented responsibilities often accelerates technical debt rather than resolving it.
AI-native system architecture demands an integrated approach to quality and AI risk management. We examine frameworks, security platforms, and organizational factors.
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing code to managing AI systems, security, and domain-specific models.
Integrating data from drones and IoT devices is transforming the management of critical infrastructure and industrial systems, enhancing efficiency and safety.