Many organizations attempt to automate their business processes based on subjective surveys and theoretical, paper-based descriptions. This "ideal regulation" trap ignores how operations actually run, leading to a dangerous illusion of control.
When companies digitize these unverified workflows, they risk automating existing chaos and multiplying operational errors. Without identifying informal "shadow processes" and bottlenecks, such initiatives fail to deliver efficiency, often leaving only 13% of businesses satisfied with their initial automation efforts while driving up maintenance costs.
To resolve this, enterprises must utilize process mining to analyze digital event logs, revealing the true flow of operations. By separating process execution using the BPMN 2.0.2 standard from decision logic via DMN, and leveraging low-code platforms like Scriptum, organizations can build flexible, easily updated systems that guarantee measurable financial returns.
From an environmental standpoint, replacing chaotic, paper-heavy workflows with precise digital orchestration significantly reduces physical resource consumption. Eliminating redundant steps and paper trails minimizes waste, while optimized digital processes lower the carbon footprint associated with inefficient corporate energy use.