Process Automation
The use of technology to execute business processes with reduced human intervention. Process automation is the broad category that includes RPA, workflow automation, and AI-driven automation — each suited to different levels of process complexity and variability.
What is Process Automation?
Process automation is the practice of using software to perform steps in a business process that were previously done by people. The term is intentionally broad — it encompasses everything from a simple scheduled script that exports a daily report to a fully autonomous AI agent that processes purchase orders end-to-end across four systems.
Understanding process automation requires understanding the spectrum of approaches available, because deploying the wrong tool for a given process is one of the most common and expensive mistakes in operational technology projects.
The Automation Spectrum
Basic automation (macros, scripts): Fixed sequences on structured data. Fragile, fast to build, low maintenance cost when stable.
RPA: UI-level automation mimicking human screen interactions. Works across legacy systems without APIs. Breaks on format or UI changes.
Workflow automation platforms: Trigger-based sequences connecting multiple systems via APIs. More robust than RPA, still rule-dependent.
BPM (Business Process Management): Structured orchestration of multi-step, multi-role processes with routing, approvals, and SLA tracking.
AI-driven automation: Handles unstructured inputs, variable formats, and exception cases. Makes decisions based on context, not just rules.
Process Automation in Operations
Most midsize manufacturers and wholesalers have already automated the easy parts: payroll runs, standard report generation, scheduled data exports. The remaining manual work is concentrated in the exception-heavy, document-heavy processes: supplier invoice processing, goods receipt matching, order management for non-standard orders, customer claim handling. These resist rule-based automation because they involve too much variation. AI-driven process automation is the approach that finally makes these tractable — not by eliminating all human judgment, but by automating the 85% of cases that follow recognizable patterns and routing the 15% that require judgment with enough context that a human can resolve them in two minutes rather than twenty.