Course Introduction
The Digital Finance Governance and Controls Assurance Training Course provides a practical framework for governing, assessing, and assuring financial processes operating through digital platforms, automated systems, cloud applications, electronic payments, data environments, and technology-enabled accounting processes. The course focuses on strengthening governance, control effectiveness, financial data integrity, accountability, security, and assurance across modern digital finance environments.
The course examines the complete digital finance control lifecycle, from governance structures, risk assessment, system design, and process automation through transaction processing, financial reporting, data management, cybersecurity, monitoring, and assurance. Participants learn how to identify control objectives, assess technology dependencies, evaluate automated controls, and determine whether digital finance processes produce reliable and appropriately authorized financial information.
A major component of the training focuses on governance and accountability. Participants examine roles and responsibilities across finance, information technology, cybersecurity, risk management, internal audit, compliance, data management, and senior management. They learn how to establish effective control ownership, segregation of duties, delegated authority, risk escalation, control documentation, management oversight, and assurance processes for technology-enabled financial operations.
The course also addresses automated and integrated financial controls, including ERP systems, cloud accounting applications, digital payment platforms, procurement systems, payroll applications, banking interfaces, financial reporting tools, APIs, robotic process automation, and artificial intelligence. Participants learn how to assess automated processing logic, system configurations, interfaces, access rights, exception handling, reconciliations, audit trails, and changes that could affect financial reporting and control effectiveness.
Digital finance environments generate extensive financial and operational data that can support continuous assurance. The course therefore incorporates data analytics, automated control testing, anomaly detection, continuous monitoring, dashboards, artificial intelligence, machine learning, and digital audit evidence. Participants learn how these technologies can improve assurance coverage while also creating new risks involving data quality, model reliability, cybersecurity, privacy, system dependency, and automated decision-making.
Through practical exercises and case studies, participants develop the ability to design, assess, test, monitor, and report on digital finance controls across an organization's financial ecosystem. The course emphasizes risk-based assurance, control design and effectiveness, financial reporting reliability, technology governance, professional skepticism, evidence evaluation, cybersecurity, and practical recommendations that strengthen resilience, transparency, accountability, and confidence in digital finance operations.
Duration
5 days
Who Should Attend
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Finance directors, financial controllers, and senior finance managers overseeing digital finance environments.
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Internal auditors responsible for technology-enabled financial processes and controls assurance.
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IT auditors assessing financial applications, automated controls, and technology dependencies.
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Risk and compliance professionals responsible for digital finance governance and control frameworks.
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Chief information officers and technology managers supporting finance transformation initiatives.
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Information security professionals assessing cybersecurity risks affecting financial systems and data.
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Accounting professionals working with ERP, cloud accounting, digital payments, and automated financial processes.
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Internal control specialists responsible for designing, documenting, and testing digital financial controls.
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Finance transformation and digitalization professionals implementing new financial technologies.
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Data governance professionals responsible for financial data quality, ownership, lineage, and integrity.
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Treasury professionals managing electronic banking, digital payments, cash platforms, and automated treasury processes.
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Procurement and payroll professionals operating technology-enabled financial transaction environments.
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Data analysts supporting continuous monitoring, control analytics, anomaly detection, and assurance reporting.
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Audit managers and supervisors responsible for reviewing technology-enabled assurance engagements.
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Governance professionals and executives responsible for oversight of digital finance risks and control effectiveness.
Course Objectives
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Develop a comprehensive understanding of digital finance governance structures, control frameworks, technology dependencies, and assurance responsibilities.
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Identify financial, technology, cybersecurity, data, operational, compliance, fraud, and reporting risks arising from digital finance transformation.
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Evaluate the design, implementation, and operating effectiveness of automated and technology-enabled financial controls.
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Assess governance over ERP systems, cloud applications, digital payments, APIs, financial interfaces, automation, and artificial intelligence.
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Strengthen understanding of access management, segregation of duties, privileged accounts, authentication, authorization, and digital identity controls.
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Apply data analytics and continuous assurance techniques to financial transactions, system activity, control exceptions, and emerging risk indicators.
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Evaluate financial data governance, data quality, lineage, reconciliation, master data, system interfaces, and reporting integrity.
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Assess cybersecurity, resilience, incident management, third-party technology dependencies, and business continuity risks affecting financial processes.
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Develop effective control assurance programs using risk-based testing, evidence evaluation, control monitoring, exception management, and remediation tracking.
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Produce evidence-based assurance findings and recommendations that strengthen digital finance governance, financial integrity, security, resilience, and accountability.
Comprehensive Course Outline
Module 1: Digital Finance Governance and Controls Assurance Fundamentals
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Understanding digital finance transformation, technology-enabled financial processes, governance structures, and assurance objectives.
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Mapping digital financial processes from transaction initiation through automated processing, reconciliation, reporting, and management oversight.
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Identifying financial reporting, operational, technology, cybersecurity, data, fraud, compliance, and third-party risks.
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Developing a risk-based digital finance assurance strategy aligned with organizational objectives, control priorities, and financial reporting risks.
Module 2: Digital Finance Governance Frameworks and Accountability
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Establishing governance structures covering finance, technology, risk, cybersecurity, internal audit, compliance, data, and executive oversight.
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Defining control ownership, accountability, delegated authority, segregation of duties, escalation responsibilities, and management oversight.
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Developing policies and procedures for digital financial systems, automated controls, data management, access, changes, and system use.
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Evaluating governance committees, risk reporting, control attestations, management reviews, assurance coordination, and issue escalation.
Module 3: Financial Systems, Automation, and Control Design
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Evaluating ERP systems, cloud accounting platforms, financial applications, digital payment systems, procurement tools, payroll systems, and reporting platforms.
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Identifying key automated controls over transaction authorization, validation, processing, calculation, posting, reconciliation, and financial reporting.
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Assessing system configuration, workflow rules, approval thresholds, automated journal entries, recurring transactions, and exception handling.
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Testing whether automated controls are appropriately designed, implemented, documented, monitored, and protected from unauthorized modification.
Module 4: Access Management, Segregation of Duties, and Cybersecurity
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Auditing user provisioning, authentication, authorization, privileged access, role design, service accounts, and periodic access reviews.
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Evaluating segregation of duties across transaction initiation, approval, master data maintenance, payment, posting, and financial reporting.
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Assessing cybersecurity controls protecting financial applications, interfaces, databases, digital payment systems, and sensitive financial information.
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Identifying excessive privileges, dormant accounts, terminated-user access, shared credentials, unauthorized changes, and security control weaknesses.
Module 5: Financial Data Governance and Information Integrity
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Establishing financial data ownership, stewardship, classification, quality standards, retention requirements, and accountability structures.
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Evaluating completeness, accuracy, validity, consistency, timeliness, uniqueness, and integrity of financial information across digital systems.
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Auditing master data covering customers, suppliers, employees, accounts, products, currencies, tax codes, and financial reporting structures.
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Testing data lineage, system interfaces, reconciliations, transformation rules, migration processes, and controls over financial data changes.
Module 6: Digital Payments, Banking, and Transaction Controls
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Auditing electronic payments, online banking, mobile financial services, payment gateways, automated transfers, and digital collection processes.
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Evaluating payment initiation, beneficiary management, authentication, approval workflows, transaction limits, confirmation, settlement, and reconciliation controls.
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Testing interfaces between banking platforms, payment systems, treasury applications, ERP systems, and general ledger environments.
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Identifying payment fraud, beneficiary manipulation, unauthorized transfers, duplicate payments, cyber-enabled financial crime, and transaction anomalies.
Module 7: Continuous Monitoring, Data Analytics, and AI-Enabled Assurance
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Applying data analytics to general ledger transactions, payments, receipts, journal entries, master data, access logs, and system activity.
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Designing automated exception tests for duplicate transactions, unusual approvals, segregation-of-duties conflicts, abnormal postings, and control failures.
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Evaluating artificial intelligence, machine learning, robotic process automation, and intelligent workflows used in finance and assurance activities.
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Developing dashboards and continuous monitoring indicators for control performance, risk trends, exceptions, remediation, and emerging digital finance risks.
Module 8: Third-Party Technology, Cloud Services, and Operational Resilience
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Assessing risks arising from cloud providers, outsourced finance services, fintech platforms, payment processors, software providers, and other technology partners.
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Evaluating contracts, service-level arrangements, provider controls, assurance reports, data responsibilities, incident obligations, and service dependencies.
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Auditing backup, disaster recovery, business continuity, system availability, resilience, incident response, and recovery capabilities.
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Identifying concentration risks, provider dependency, service interruptions, data-location concerns, subcontractor risks, and inadequate exit arrangements.
Module 9: Controls Assurance, Testing, Evidence, and Reporting
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Designing control assurance procedures covering control design, implementation, operating effectiveness, automated processing, and financial reporting dependencies.
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Evaluating audit evidence from system logs, workflow records, configuration reports, transaction data, reconciliations, access reports, and management reviews.
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Applying sampling, data analytics, walkthroughs, reperformance, inspection, observation, and substantive procedures to digital financial controls.
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Documenting control deficiencies, root causes, financial implications, risk ratings, management responses, remediation actions, and assurance conclusions.
Module 10: Digital Finance Assurance Reporting, Remediation, and Practical Case Studies
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Preparing assurance findings that connect digital finance risks, control weaknesses, financial impacts, root causes, evidence, and practical recommendations.
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Applying case studies involving automated control failures, unauthorized access, payment fraud, data-quality problems, system interfaces, and cybersecurity incidents.
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Developing remediation plans covering governance, access, automation, data integrity, cybersecurity, system configuration, monitoring, and third-party controls.
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Performing follow-up, remediation validation, continuous monitoring, management reporting, escalation, and assurance closure for digital finance issues.
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.
