Large organizations often rely on idealized, static process maps that fail to reflect daily operations. When developers attempt to automate these theoretical regulations directly, they ignore how employees actually work, leading to a significant gap where up to 49% of real steps deviate from official models.
This discrepancy fosters shadow processes—undocumented manual workarounds that consume up to 13% of working operations. These unauthorized routes, such as offline email approvals and manual data entry, create severe operational bottlenecks, systemic delays, and security risks.
To resolve this, organizations use Process Mining to reconstruct actual workflows from digital event logs, pairing it with executable standards like BPMN 2.0 and DMN. Low-code platforms like Scriptum and the UnityBase platform, with InBase as the key developer, automate these discovered routes, turning chaotic operations into manageable digital flows.
From an environmental perspective, eliminating these hidden, manual workarounds is crucial for sustainability. By digitizing and optimizing workflows, organizations drastically reduce paper consumption, eliminate resource-heavy physical interventions, and lower the overall energy footprint of inefficient corporate operations.