Efficient e-invoicing processes require clearly defined, seamless end-to-end workflows—from purchase-to-pay through order-to-cash. Digital process chains must be modeled in a structured way, responsibilities clearly assigned, and operations managed automatically. Workflow engines, rule-based mechanisms, and validation logic enable consistent processing, reduce manual intervention, and lay the foundation for scalable, stable workflows.

Companies face the task of harmonizing heterogeneous process landscapes, managing exceptions systematically, and documenting workflows in an audit-proof way. Missing automation logic, inadequate monitoring, or inconsistent process definitions lead to delays, higher error rates, and limited scalability. At the same time, AI-based control, transparency into process flows, and data-driven optimization approaches—for example through process or task mining—are becoming increasingly important.

Within the “Processes & Automation” Competence Center, experts analyze existing process structures, assess automation strategies, and develop sound guidelines for efficient and scalable invoicing processes. The focus is on assessing control mechanisms, integrating data-driven optimization approaches, and continuously advancing digital process landscapes.

Key Focus Areas

Analyzing and structuring seamless end-to-end processes

Assessing automation and control logic

Evaluating monitoring, KPI, and governance models

Deriving data-driven optimization approaches (process & task mining)

Developing guidelines for scalable and audit-proof processes