7 Topics
5 Days
35 Sessions
Programme Overview
Training Description
Who Should Attend
Session Objectives
- Understand the fundamentals of RPA and its specific applications in finance.
- Learn to identify manual, repetitive tasks suitable for automation.
- Design and document an RPA solution for a budgeting process.
- Build and configure a basic RPA bot to perform a financial task.
- Evaluate the ROI and business impact of RPA implementation.
About the Course
Intelligent Budget Automation: RPA for Smarter Financial Management is a practical training course designed to help finance and budgeting professionals understand how Robotic Process Automation (RPA) can streamline financial processes, improve budgeting accuracy, reduce manual workloads, and strengthen financial control.The programme also addresses automation governance, data quality, cybersecurity, access controls, exception management, audit trails, human oversight, and change management. Participants will explore how to combine automation with sound financial controls to create more efficient, accurate, transparent, and scalable finance operations.Through practical exercises and case studies, participants will develop the skills to identify automation opportunities, design RPA-enabled workflows, evaluate automation benefits and risks, and develop an implementation roadmap for intelligent budget automation.
Curriculum & Topics
7 Topics | 35 Sessions
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Workshop 1.1:
What is RPA and how does it work?
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Workshop 1.2:
The benefits of RPA: efficiency, accuracy, and compliance.
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Workshop 1.3:
Common RPA use cases in budgeting, forecasting, and reporting.
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Workshop 1.4:
Key concepts: bots, workflows, and process mapping.
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Workshop 1.5:
The RPA journey: from pilot to full-scale deployment.
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Workshop 2.1:
Analyzing current budgeting processes for repetitive tasks.
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Workshop 2.2:
Using a structured framework to evaluate potential RPA candidates.
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Workshop 2.3:
Creating a business case for RPA in finance.
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Workshop 2.4:
Estimating the time and cost savings of automation.
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Workshop 2.5:
Prioritizing automation projects based on business value.
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Workshop 3.1:
Detailed process mapping and documentation for automation.
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Workshop 3.2:
Designing a bot's workflow and logic.
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Workshop 3.3:
Integrating different systems and applications.
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Workshop 3.4:
Handling exceptions and error management.
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Workshop 3.5:
Best practices for building robust and scalable solutions.
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Workshop 4.1:
Introduction to a leading RPA platform (e.g., UiPath, Automation Anywhere).
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Workshop 4.2:
Hands-on lab: building a simple bot for data extraction.
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Workshop 4.3:
Configuring a bot to perform data entry and reconciliation.
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Workshop 4.4:
Creating an automated report generation workflow.
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Workshop 4.5:
Testing and debugging your automation solution.
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Workshop 5.1:
The role of an RPA project manager.
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Workshop 5.2:
Managing stakeholders and change management.
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Workshop 5.3:
Deploying bots and scheduling automated tasks.
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Workshop 5.4:
Monitoring bot performance and measuring success.
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Workshop 5.5:
Developing a governance framework for RPA.
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Workshop 6.1:
Using OCR (Optical Character Recognition) for invoice processing.
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Workshop 6.2:
Introduction to AI and machine learning integration with RPA.
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Workshop 6.3:
Security considerations in RPA implementation.
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Workshop 6.4:
Creating reusable components and libraries.
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Workshop 6.5:
Scaling RPA across different financial functions.
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Workshop 7.1:
The impact of intelligent automation on the finance role.
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Workshop 7.2:
The finance professional of the future.
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Workshop 7.3:
Integrating RPA with analytics and planning tools.
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Workshop 7.4:
Case studies of large-scale RPA implementations in finance.
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Workshop 7.5:
Developing a long-term automation strategy for your organization.
