Robotic Process Automation Audit and Financial Controls Training Course

Course Introduction

The Robotic Process Automation Audit and Financial Controls Training Course provides a comprehensive and practical framework for auditing robotic process automation environments and evaluating the financial controls embedded within automated business processes. The programme examines how software robots automate repetitive accounting, finance, reconciliation, reporting, payment, procurement, and administrative activities while introducing new risks involving automation governance, data integrity, access, configuration, exception handling, and process accountability.

The course enables finance, accounting, internal audit, risk, and control professionals to understand how robotic process automation changes traditional control environments and audit approaches. Participants will examine bot architecture, automated workflows, business rules, credentials, process dependencies, system interfaces, logs, exception queues, scheduling mechanisms, and control configurations that determine whether automated transactions are processed accurately, completely, securely, and in accordance with approved business requirements.

Participants will learn how to apply risk-based audit methodologies to RPA-enabled financial processes, including audit planning, automation risk assessment, process walkthroughs, control identification, bot configuration reviews, access testing, transaction analytics, exception testing, evidence evaluation, and audit reporting. The course emphasizes practical techniques for determining whether automated processes operate consistently and whether appropriate human oversight exists over critical financial activities.

The programme covers RPA applications across major finance and accounting processes, including accounts payable, accounts receivable, bank reconciliations, journal processing, financial close, payroll, procurement, reporting, master data management, tax processing, and financial consolidation. Participants will learn how to assess automated controls and identify risks arising from incorrect business rules, incomplete data, bot failures, unauthorized changes, duplicate processing, inappropriate credentials, interface disruptions, and poorly managed exceptions.

The course also addresses emerging developments in intelligent automation, artificial intelligence, machine learning, process mining, intelligent document processing, generative AI, and hyperautomation. Participants will examine how these technologies affect auditability, financial control design, model governance, human oversight, data quality, explainability, change management, and accountability, particularly as organizations move from rule-based automation toward increasingly intelligent and autonomous financial processes.

Through practical case studies, RPA control assessments, bot walkthroughs, transaction analytics, exception analysis, audit scenarios, and financial control testing, participants will build the capabilities required to provide meaningful assurance over automated financial processes. The programme supports stronger governance, reliable financial reporting, effective automation controls, operational resilience, and responsible use of RPA across finance and accounting functions.

Duration

10 days

Who Should Attend

• Internal auditors responsible for reviewing RPA-enabled financial and accounting processes.

• External auditors assessing automated controls, robotic workflows, financial systems, and technology-enabled transaction processing.

• IT auditors evaluating RPA platforms, bot configurations, access controls, system interfaces, and technology risks.

• Finance managers responsible for automation initiatives, accounting processes, financial controls, and reporting.

• Financial controllers overseeing automated transaction processing, reconciliations, close activities, and reporting controls.

• Accountants involved in designing, operating, reviewing, or monitoring automated finance and accounting processes.

• Risk management professionals assessing automation, operational, financial, technology, and third-party risks.

• Compliance professionals evaluating automated financial processes against internal policies and regulatory requirements.

• RPA developers and automation specialists seeking stronger understanding of audit, control, and financial governance requirements.

• Internal control specialists designing, implementing, testing, and monitoring automated financial controls.

• Finance transformation professionals managing RPA adoption, process redesign, automation governance, and digital finance initiatives.

• Fraud risk professionals investigating bot activity, unusual transactions, control circumvention, and automation-enabled financial fraud.

• Audit managers and supervisors responsible for planning and reviewing RPA and automated financial controls audits.

• Technology governance professionals responsible for automation platforms, access management, change controls, and operational resilience.

• Consultants supporting RPA implementation, financial controls, audit readiness, automation risk, and digital transformation.

Course Objectives

• Develop a comprehensive understanding of robotic process automation and its impact on financial processes, accounting controls, audit methodologies, governance, and risk management.

• Understand RPA architecture, bots, workflows, business rules, credentials, scheduling, interfaces, logs, exception queues, and dependencies within automated financial environments.

• Apply risk-based audit methodologies to identify, assess, prioritize, and document risks arising from robotic automation of finance and accounting activities.

• Evaluate governance controls covering RPA ownership, bot inventories, development standards, approvals, monitoring, change management, documentation, and accountability.

• Assess automated financial controls for authorization, completeness, accuracy, validity, processing integrity, reconciliation, exception management, and financial reporting.

• Examine bot access rights, service accounts, privileged credentials, authentication, segregation of duties, and other security controls protecting automated financial processes.

• Apply data analytics to RPA transaction populations and logs to identify unusual activity, duplicate processing, failed transactions, anomalies, control exceptions, and potential financial risks.

• Evaluate RPA development, testing, deployment, configuration, change management, and release controls to determine whether automated financial processes remain reliable after modifications.

• Audit RPA applications across procure-to-pay, order-to-cash, record-to-report, payroll, treasury, reconciliation, reporting, and other significant financial processes.

• Assess bot monitoring, exception handling, error management, business continuity, recovery, and human intervention procedures supporting reliable automated financial operations.

• Examine emerging technologies including intelligent automation, artificial intelligence, machine learning, process mining, intelligent document processing, and hyperautomation from an audit perspective.

• Strengthen the ability to communicate RPA audit findings, evaluate automated control deficiencies, develop practical recommendations, and support responsible and sustainable finance automation.

Comprehensive Course Outline

Module 1: Foundations of RPA Auditing and Financial Controls

• Understanding robotic process automation, software bots, automated workflows, and their growing role in accounting, finance, reporting, and operational processes.

• Key principles of RPA auditing, including risk assessment, control evaluation, audit objectives, evidence collection, testing, documentation, and reporting.

• Understanding how automation changes traditional financial control activities and creates new dependencies involving technology, data, configurations, and system interfaces.

• Developing a risk-based RPA audit strategy that connects automation risks with financial reporting, operational, compliance, fraud, and governance objectives.

Module 2: RPA Architecture, Components, and Financial Process Automation

• Examining bot architecture, orchestration platforms, automation workflows, business rules, credentials, queues, schedulers, interfaces, and supporting infrastructure.

• Mapping automated finance processes to understand data inputs, processing steps, system interactions, outputs, control points, and financial reporting dependencies.

• Evaluating RPA dependencies on ERP systems, accounting applications, spreadsheets, databases, email, banking platforms, and third-party systems.

• Identifying technology and process risks arising from complex automation environments, undocumented dependencies, interface failures, and poorly designed workflows.

Module 3: RPA Governance, Risk Management, and Control Frameworks

• Establishing RPA governance structures covering ownership, accountability, automation standards, risk assessment, approval requirements, and management oversight.

• Evaluating automation inventories, risk classifications, bot criticality assessments, control documentation, process ownership, and periodic review procedures.

• Assessing RPA risk management frameworks covering financial, operational, technology, cybersecurity, compliance, resilience, and model-related risks.

• Developing governance practices that align automation objectives with internal control requirements, financial reporting reliability, and organizational risk appetite.

Module 4: RPA Development, Testing, and Change Management Controls

• Auditing bot development processes covering requirements, design specifications, coding standards, testing, approvals, deployment, and production release.

• Evaluating segregation of duties between RPA developers, testers, administrators, business owners, and production support personnel.

• Assessing change management controls over bot scripts, workflows, business rules, credentials, configurations, interfaces, and automation schedules.

• Reviewing emergency changes, version control, rollback procedures, post-implementation testing, and documentation supporting reliable automated financial processing.

Module 5: Automated Financial Controls and Control Design

• Evaluating automated controls over transaction authorization, validation, completeness, accuracy, processing, reconciliation, posting, and financial reporting.

• Assessing business rules, validation conditions, thresholds, approval workflows, duplicate checks, exception logic, and automated decision points within RPA processes.

• Determining whether automated controls address relevant financial statement assertions and operational objectives throughout the transaction lifecycle.

• Designing audit procedures to test whether automated financial controls are appropriately configured, consistently executed, and supported by reliable evidence.

Module 6: RPA Access, Credentials, and Segregation of Duties

• Auditing bot identities, service accounts, privileged credentials, authentication mechanisms, password storage, credential rotation, and access provisioning.

• Evaluating segregation of duties between bot development, deployment, administration, transaction processing, approval, and financial reconciliation activities.

• Assessing whether bots possess excessive access to accounting systems, payment platforms, financial databases, or sensitive information beyond their approved responsibilities.

• Using access listings, bot inventories, credential records, activity logs, and role analysis to identify inappropriate or excessive automation privileges.

Module 7: RPA Data Integrity and Transaction Processing

• Evaluating data inputs, transformations, validation rules, output files, system interfaces, and data handling procedures used by automated financial processes.

• Assessing risks involving incomplete source data, duplicate records, incorrect mappings, corrupted files, inconsistent formats, and unauthorized data changes.

• Applying data analytics to identify unusual bot transactions, duplicate processing, missing records, abnormal values, failed transactions, and unexpected processing patterns.

• Testing the completeness, accuracy, validity, consistency, and integrity of financial data processed through automated workflows and interconnected systems.

Module 8: RPA in Procure-to-Pay and Accounts Payable

• Auditing automated purchase requisitions, supplier data, purchase orders, invoice processing, matching, payment preparation, and accounts payable reconciliation.

• Evaluating bot controls over invoice validation, duplicate detection, approval routing, supplier verification, payment preparation, and exception handling.

• Applying analytics to identify duplicate invoices, unusual suppliers, abnormal payment values, split transactions, repeated exceptions, and suspicious automated activity.

• Assessing bot dependencies, financial system interfaces, human approvals, exception queues, and reconciliation procedures throughout the procure-to-pay process.

Module 9: RPA in Record-to-Report and Financial Close

• Auditing automated journal preparation, account reconciliations, accruals, allocations, reporting, financial close activities, and consolidation processes.

• Evaluating bot rules for journal creation, posting, validation, reconciliation, exception handling, period controls, and financial reporting.

• Using transaction and bot-log analytics to identify unusual journals, repeated failures, late processing, manual interventions, unexpected users, and control exceptions.

• Assessing whether automated close processes produce complete, accurate, timely, and appropriately authorized financial information for management and reporting purposes.

Module 10: RPA in Revenue, Payroll, Treasury, and Reconciliation

• Auditing automation supporting revenue processing, customer transactions, payroll calculations, cash management, bank reconciliations, and treasury activities.

• Evaluating automated rules for customer data, payroll inputs, payment preparation, cash transactions, reconciliations, exception handling, and reporting.

• Assessing risks associated with automated payment instructions, employee master data, revenue adjustments, bank interfaces, and reconciliation differences.

• Applying analytical procedures to identify unusual automated transactions, unexpected adjustments, reconciliation breaks, payment anomalies, and potential financial control failures.

Module 11: RPA Monitoring, Exceptions, Errors, and Human Oversight

• Evaluating bot monitoring arrangements, dashboards, alerts, processing queues, failed jobs, exception management, and escalation procedures.

• Assessing whether automated processes appropriately distinguish between routine transactions, exceptions requiring human judgment, and transactions requiring additional approval.

• Reviewing error-handling logic, retry mechanisms, manual overrides, intervention records, unresolved exceptions, and management review processes.

• Determining whether human oversight remains appropriate for critical financial processes and whether automation does not bypass essential control responsibilities.

Module 12: RPA Audit Analytics, Logs, and Electronic Evidence

• Examining bot logs, workflow histories, system records, timestamps, transaction identifiers, exception records, and other electronic evidence supporting RPA audit procedures.

• Applying audit analytics to compare bot activity with accounting transactions, financial records, user activity, system events, and approved process requirements.

• Identifying patterns of unusual bot behavior, unexpected processing times, repeated errors, unauthorized activity, control circumvention, and abnormal transaction volumes.

• Developing reliable evidence collection and documentation procedures for demonstrating the design and operating effectiveness of RPA-enabled financial controls.

Module 13: RPA Cybersecurity, Fraud, and Third-Party Risks

• Assessing cybersecurity threats affecting automation platforms, bot credentials, financial applications, orchestration servers, APIs, and connected accounting systems.

• Evaluating fraud risks arising from bot manipulation, credential compromise, unauthorized automation, transaction alteration, and misuse of automated processing capabilities.

• Auditing third-party RPA providers, managed automation services, cloud automation platforms, external developers, and technology dependencies.

• Developing controls and audit procedures for protecting automation environments against unauthorized access, malicious changes, data compromise, and third-party failures.

Module 14: Intelligent Automation, AI, and Emerging RPA Technologies

• Examining the transition from rule-based RPA toward intelligent automation incorporating artificial intelligence, machine learning, natural language processing, and advanced analytics.

• Evaluating intelligent document processing, automated classification, AI-assisted accounting workflows, predictive automation, and increasingly autonomous financial processes.

• Assessing risks involving model outputs, data quality, explainability, human oversight, algorithmic decisions, automated recommendations, and inappropriate reliance on intelligent systems.

• Developing audit approaches for emerging automation technologies while addressing governance, accountability, control design, monitoring, and evidence requirements.

Module 15: RPA Resilience, Business Continuity, and Operational Risk

• Auditing business continuity arrangements for critical bots, automation platforms, financial applications, supporting infrastructure, and dependent systems.

• Evaluating backup procedures, bot recovery, alternative processing, failover, recovery time objectives, recovery point objectives, and restart controls.

• Assessing operational risks arising from bot failures, system outages, interface disruptions, scheduling errors, infrastructure failures, and unavailable automation support.

• Developing audit procedures to determine whether critical automated financial processes can recover effectively while maintaining transaction integrity and financial control.

Module 16: Advanced RPA Audit, Continuous Monitoring, and Future Trends

• Developing advanced RPA audit programmes integrating financial audit, IT audit, cybersecurity, data analytics, fraud risk, compliance, and operational resilience.

• Evaluating continuous auditing, automated control monitoring, process mining, intelligent exception detection, real-time analytics, and automation assurance techniques.

• Addressing emerging issues involving hyperautomation, generative AI, autonomous financial processes, intelligent agents, automated decision-making, and increasingly interconnected digital workflows.

• Building a forward-looking RPA audit strategy that supports reliable financial controls, responsible automation, continuous assurance, strong governance, and sustainable digital finance transformation.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.