Robotic Process Automation in the Financial Sector - Practical RPA
Robotic Process Automation in the Financial Sector - Practical RPA
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In this review of Robotic Process Automation in the Financial Sector readers get a clear sense of who benefits most and why the book matters. Written for decision makers and users, the book delivers a practical, implementation-focused overview of RPA technology and places it within process management so teams can move from concept to working automation. The bottom line: it is a hands-on guide that emphasizes concrete steps and real banking examples, making it the best choice for practitioners who need an actionable roadmap rather than abstract theory.
Key Features
- Comprehensive overview: Explains the core principles of RPA technology and its potential so readers understand what automation can and cannot do in finance.
- Implementation guidance: Lays out practical steps for introducing RPA, including process selection and preparation, which helps teams avoid common rollout mistakes.
- Process management context: Places RPA within existing process management frameworks to help managers align automation with operational goals.
- Industry examples: Uses many banking case studies that are easily transferable to other industries, providing concrete scenarios and lessons learned.
- User-focused advice: Targets both future and experienced users, giving instructions that support adoption across hierarchical levels in IT and operations.
- Actionable checklists: Offers the necessary steps for rollout, enabling project teams to follow a sequence from selection to deployment.
Who It's For
This book is aimed at process and technology managers, IT leaders, and operational users in the financial sector who are responsible for or involved in RPA projects. It is particularly useful for readers who want a practical, step-by-step approach to implementation rather than high-level academic discussion, and for teams that must align automation with existing process governance.
Readers who should look elsewhere include those seeking a deep technical manual on robotic architecture or developers wanting extensive code samples for RPA platforms; the book focuses on decision making, selection, preparation, and rollout rather than platform-specific programming references.
Pros & Cons
Pros
- Clear implementation steps help teams plan and execute RPA projects with less guesswork.
- Banking-focused examples offer real-world context that is transferrable across industries.
- Good balance between process management and technology discussion aids cross-functional alignment.
Cons
- Not a platform-level developer guide, so readers expecting code-level detail will need additional resources.
Specifications
| Title | Robotic Process Automation in the Financial Sector |
| Authors | Mario Smeets, Ralph Erhard, Thomas Kauler |
| Audience | Decision makers, users, process and technology managers |
| Focus | Technology overview, implementation steps, process management context |
| Industry examples | Banking (transferable to other industries) |
| Practical content | Process selection, process preparation, rollout guidance |
Our Verdict
For organizations in finance that need a pragmatic guide to start or improve RPA initiatives, this book is a strong value: it combines practical implementation steps with process management perspective and real banking examples, making it especially useful for managers and users who must deliver measurable automation projects.
Frequently Asked Questions
Does this book explain how to choose processes for RPA?
Yes. It includes concrete guidance on adequate process selection and preparation as part of the implementation steps.
Is it suitable for technical developers?
It is more focused on decision makers and users; developers seeking low-level platform code will need supplementary technical manuals.
Are the examples industry specific?
Many examples come from banking but are described so they can be applied to other industries.
Editor's Take
A practical, implementation-focused guide for decision makers and users in finance; combines process management context with concrete steps and banking examples, making it strong value for teams delivering RPA projects.

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