Book Image

RPA Solution Architect's Handbook

By : Sachin Sahgal
Book Image

RPA Solution Architect's Handbook

By: Sachin Sahgal

Overview of this book

RPA solution architects play an important role in the automation journey and initiatives within the organization. However, the implementation process is quite complex and daunting at times. RPA Solution Architect’s Handbook is a playbook for solution architects looking to build well-designed and scalable RPA solutions. You’ll begin by understanding the different roles, responsibilities, and interactions between cross-functional teams. Then, you’ll learn about the pillars of a good design: stability, maintainability, scalability, and resilience, helping you develop a process design document, solution design document, SIT/UAT scripts, and wireframes. You’ll also learn how to design reusable components for faster, cheaper, and better RPA implementation, and design and develop best practices for module decoupling, handling garbage collection, and exception handling. At the end of the book, you’ll explore the concepts of privacy, security, reporting automated processes, analytics, and taking preventive action to keep the bots healthy. By the end of this book, you’ll be well equipped to undertake a complete RPA process from design to implementation efficiently.
Table of Contents (25 chapters)
Part 1:Role of a Solution Architect
Part 2:Being Techno/Functional
Part 3: Tool Agnostic Approach
Part 4:Best Practices


KPIs and metrics play a crucial role in measuring the success and efficiency of businesses. STP is a metric that’s used to determine the percentage of automated transactions without the need for manual intervention. The higher the STP, the more efficient the process and the lower the operational costs.

Exceptions can be used to determine the number of transactions that require manual intervention or handling. By tracking exceptions, businesses can identify areas that require process improvement and training to reduce errors and improve efficiency.

Accuracy is a metric that’s used to measure the level of correctness in data or processes. Accurate data is essential for informed decision-making, and inaccurate data can lead to costly errors and missed opportunities. Ensuring data accuracy requires regular monitoring and validation of data inputs and processes.

Efficacy is a metric that’s used to measure the effectiveness of a process or system in...