Business Processes, Automation & RPA

Business processes are the backbone of any organization. They define how work gets done, how value flows from inputs to outputs, and how customers experience products or services. In most organizations, however, processes evolve organically over time—becoming messy, redundant, or overly manual. Mapping these processes helps make them visible, measurable, and improvable. Using a simplified BPMN-lite (Business Process Model and Notation), students can diagram activities, decision points, and flows, creating a “blueprint” of how things actually work. Once a process is visualized, potential automation candidates quickly emerge: repetitive steps, manual data transfers, and routine approvals are all strong contenders for automation.

Robotic Process Automation (RPA) has traditionally been used to handle repetitive, rule-based digital tasks—mimicking how a human would click, type, or copy-paste across applications. While RPA excels at legacy system tasks, modern no-code platforms often provide deeper integrations through APIs, enabling more stable, scalable, and transparent automations. A key consideration is deciding when to apply RPA versus when to leverage APIs. Equally important is designing “human-in-the-loop” controls: checkpoints where people intervene to validate exceptions, approve sensitive transactions, or add judgment where automation alone is insufficient.

The objectives of this module are threefold. First, students will learn how to model a process using BPMN-lite and systematically identify automation candidates. Second, they will build a no-code automation using Zapier combined with AI services, specifically for classification and summarization tasks. Third, they will estimate cycle time and cost savings, translating technical improvement into tangible business value. These objectives combine theory, design thinking, and hands-on implementation.

In lecture and discussion, students will be introduced to process mapping techniques and the differences between RPA and API-based automation. They will also examine governance practices for ensuring reliability and accountability, with a focus on how human oversight strengthens trust in automated systems. This discussion lays the foundation for understanding not only how to automate, but when and why to automate responsibly.

The hands-on component turns theory into practice. Using Zapier as the automation hub, students will connect simulated customer emails to an AI service (Elevate AI) that classifies message type and generates a draft response. Zapier will then log each ticket into a Google Sheet, providing a structured record of customer issues and proposed replies. Through this workflow, students will see firsthand how automation eliminates the need for manual sorting, reduces response latency, and improves organizational efficiency. By calculating the time saved per transaction and projecting cost reductions, students gain the ability to measure ROI—a critical skill for future business leaders.

Ultimately, this lab demonstrates how micro-automation can transform small but impactful processes. What once required staff to read, interpret, and route each message can now be streamlined into an end-to-end pipeline, with human oversight applied only when necessary. This balance of automation and human judgment exemplifies the future of work: smarter, faster, and more focused on higher-value activities.

Lesson Summary

Business Processes, Automation & RPA

Business processes are crucial for organizations, shaping how work is accomplished, value is delivered, and customer experiences are formed. Processes often become convoluted over time and manual, making it necessary to map and streamline them. This can be achieved using a simplified BPMN-lite to visualize activities, decision points, and flows.

Key Points:

• Mapping processes makes them visible, measurable, and improvable
• Automation candidates emerge from visualized processes, targeting repetitive or manual tasks
• Robotic Process Automation (RPA) and no-code platforms provide automation solutions
• Distinct considerations for when to use RPA versus APIs in automation

Objectives of the module:

• Model processes with BPMN-lite and identify automation opportunities
• Implement a no-code automation using Zapier integrated with AI services
• Estimate cycle time and cost savings for realizing business value from automation

The module combines theory, design thinking, and practical implementation, emphasizing the importance of understanding processes, automation options, and human oversight in automation systems for business success.

This multifaceted approach extends to hands-on learning where students apply automation concepts practically. Using Zapier, students connect customer emails to an AI service for classifying messages and drafting responses. The workflow demonstrates how automation streamlines tasks, enhances efficiency, and enables significant cost and time savings.

Key Learning Points:

• Understanding process mapping and automation differences
• Exploring automation governance to ensure reliability and accountability
• Balancing automation with human oversight for effective and trustworthy systems
• Measuring ROI to evaluate the impact of automation on business operations

Practical demonstrations showcase how automation revolutionizes traditionally manual tasks, showcasing a future of work that is efficient, informed, and value-driven.