Common automation pitfalls: Navigating chaos, RPA, and AI risks
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implement AI into operational workflows using BPMN and DMN standards.
INSIGHTS & PRACTICE
Circular economy, repair, reuse and traceability, supported by our archive of practical guides to digital processes, documents and monitoring.
4 publications
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implement AI into operational workflows using BPMN and DMN standards.
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.
While monolithic ERP systems are powerful, they often lack flexibility; an integrated landscape of specialized systems built on a unified API layer and MDM offers a compelling alternative.