Process automation

Learning outcome statements

The learning outcome statements relevant for this section are:

1. explain the role of business process analysis in improving system performance
2. define robotic process automation (RPA) and its benefits

Business process analysis and system performance

Definitions

Business process analysis (BPA)

The systematic examination of organizational workflows to identify inefficiencies, redundancies, and opportunities for improvement. It aims to optimize processes, enhance system performance, and align operations with business objectives.

BPA plays a critical role in improving system performance by identifying inefficiencies, redundancies, and bottlenecks in current workflows. It involves mapping out existing business processes, analyzing their effectiveness, and recommending improvements to optimize system operations. BPA should come before automation: automating an unanalyzed process just runs its inefficiencies and errors faster.

One of the key outcomes of business process analysis is the identification of automation opportunities. Through the use of digital tools and advanced technologies, organizations can eliminate manual, repetitive tasks and enhance operational efficiency. BPA also ensures that new or upgraded systems are designed in alignment with business objectives, resulting in improved data integration and real-time reporting capabilities.

Robotic process automation (RPA)

Definitions

Robotic process automation (RPA)

A technology that uses software bots to perform repetitive, rule-based tasks traditionally done by people. These bots can interact with multiple applications, process transactions, extract data, and communicate with other systems with little human intervention once configured, though people still handle exceptions and bot maintenance.

RPA works best on high-volume, rule-based tasks with structured, stable inputs, like matching invoices to purchase orders. It’s a poor fit for judgment-heavy work, unstructured data, or processes that change often, since the bot must be reconfigured each time.

Watch out: RPA follows fixed rules and doesn’t learn from data, unlike AI and machine learning (covered in the next chapter, Innovative applications).

The key benefits of RPA include:

• Efficiency and accuracy: Bots work faster than humans and greatly reduce errors in data entry and processing (a bot repeats any flaw in its rules or input data just as consistently).
• Cost savings: Automating routine processes reduces labor costs and operational expenses.
• Scalability: RPA can handle large volumes of data and tasks without requiring additional personnel.
• Compliance and auditability: RPA ensures consistent execution of processes, maintaining compliance with regulatory requirements and generating audit trails for tracking.
• Enhanced employee productivity: By offloading repetitive tasks to bots, employees can focus on higher-value activities such as decision-making and strategic planning.

Example: Accounts payable invoice processing

BPA finds clerks manually re-key invoice data and three-way match it by hand, causing a bottleneck. After redesign, a bot extracts the data, matches it, and posts clean matches; mismatches go to a person.

Takeaway: BPA fixes the process first; RPA then automates the redesigned steps.

RPA is widely used in finance and accounting functions such as invoice processing, accounts reconciliation, payroll management, and regulatory reporting.