Ideas and experience in communications, technology and customer service.
An analysis of architectural approaches to business process automation. Comparing Scriptum, Camunda, Bonita, and UiPath to eliminate shadow processes and enable flexible modeling.
Effective enterprise process automation requires separating workflow orchestration, flexible case management, and business rules. Learn how to avoid hardcoded logic and identify shadow routes.
Radical transitions to new ECM systems often cause business process disruptions. We examine how phased migration and pilot launches minimize operational risks.
AI terminology uncertainty creates business risks. Intecracy Group focuses on electronic document management as a proven tool for tangible business outcomes.
The concept of recursive AI self-improvement is transforming process automation. We explore how companies can prepare their data and manage risks.
Effective customer data management requires clearly defined responsibilities for master record modifications, especially in the context of AI and cybersecurity.
A practical approach to choosing an electronic document management system: critical questions during demos to avoid overspending and reduce IT project value.
AI-driven automation of document management in logistics is essential for enhancing efficiency and regulatory compliance, but requires careful planning.
Choosing between Apache Kafka and message queues for event-driven integration depends on scale, reliability, and cybersecurity requirements.
Integrating AI with existing ECM and BPM systems to automate internal requests. A practical approach to classification, data extraction, and routing.
Integrating Scriptum.DMS with the NIS2 directive and AI enhances data protection and document workflow efficiency, particularly within the public sector.
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
