Course Introduction
Project audit and assurance provide independent, structured, and evidence-based mechanisms for determining whether projects are being governed, planned, controlled, and delivered in accordance with approved objectives, organizational standards, contractual obligations, and applicable requirements. This course develops practical capabilities for planning and executing project audits and assurance reviews that identify material risks, control weaknesses, performance issues, governance gaps, and opportunities for corrective action before they adversely affect project outcomes.
The course explores the distinction between project audit, assurance, review, health check, quality assessment, compliance assessment, and management oversight. Participants will learn how to establish clear audit objectives, scope, criteria, independence requirements, evidence standards, review protocols, and reporting arrangements. Particular attention is given to risk-based assurance approaches that focus review effort on areas with the greatest potential impact on project cost, schedule, scope, quality, benefits, safety, compliance, cybersecurity, stakeholder confidence, and organizational reputation.
Participants will examine comprehensive audit techniques covering project initiation, business cases, governance, scope, requirements, planning, scheduling, cost management, resources, procurement, risk, issues, change control, quality, stakeholder engagement, reporting, and benefits realization. The course emphasizes how auditors and assurance professionals can test the effectiveness of controls rather than simply confirm whether documentation exists. Practical techniques for sampling, interviewing, walkthroughs, document review, data analysis, control testing, evidence triangulation, and exception identification will be developed throughout the program.
A strong emphasis is placed on analyzing project evidence and translating observations into meaningful findings. Participants will learn how to assess the reliability of project data, identify inconsistencies between reported and underlying performance, distinguish symptoms from root causes, evaluate control design and operating effectiveness, and determine the significance of identified weaknesses. The course addresses audit working papers, evidence trails, finding classification, risk ratings, management responses, corrective actions, escalation, and follow-up so that assurance outputs lead to measurable improvements rather than becoming static reports.
The course also addresses the professional and behavioral dimensions of project assurance. Participants will develop techniques for maintaining independence, professional skepticism, confidentiality, objectivity, constructive challenge, and stakeholder relationships, particularly when reviewing troubled or politically sensitive projects. The program considers how assurance professionals can communicate difficult findings to sponsors, project boards, executives, PMOs, suppliers, and delivery teams while maintaining evidence-based conclusions and avoiding unnecessary confrontation or blame.
Emerging technologies are incorporated into modern project audit and assurance practices, including AI-assisted evidence analysis, continuous controls monitoring, automated exception detection, process mining, predictive risk analytics, digital audit trails, project data lakes, and intelligent assurance dashboards. Participants will also consider cybersecurity, privacy, data integrity, algorithmic bias, explainability, and human oversight when applying advanced analytics and AI to assurance activities. By the end of the course, participants will be equipped to establish risk-based audit programs and conduct credible assurance reviews that strengthen governance, improve control effectiveness, and increase confidence in project delivery.
Duration
5 days
Who Should Attend
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Project auditors responsible for reviewing project governance, controls, compliance, and performance
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Project assurance professionals conducting independent reviews and health checks
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Internal auditors supporting project, program, and portfolio assurance activities
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PMO professionals responsible for governance frameworks, standards, controls, and assurance
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Project managers seeking to understand and respond effectively to assurance and audit requirements
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Program and portfolio managers responsible for project performance and governance oversight
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Project sponsors and executives overseeing major investments and strategic initiatives
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Risk managers assessing project controls, risks, issues, and mitigation effectiveness
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Compliance and governance professionals reviewing adherence to organizational and regulatory requirements
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Project controls professionals responsible for schedule, cost, scope, risk, and performance information
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Quality assurance professionals conducting process and delivery assessments
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Finance and commercial professionals reviewing project expenditure, contracts, and financial controls
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Procurement professionals supporting supplier governance, contract compliance, and commercial assurance
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Cybersecurity and information governance professionals reviewing technology-enabled project risks
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Consultants and assurance specialists seeking advanced project audit and review techniques
Course Objectives
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Develop risk-based project audit and assurance strategies aligned with project objectives, governance requirements, risk exposure, and organizational priorities.
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Distinguish project audits, assurance reviews, health checks, compliance assessments, quality reviews, and management oversight activities.
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Establish audit scope, criteria, evidence requirements, review protocols, independence arrangements, sampling approaches, and reporting expectations.
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Evaluate the design and operating effectiveness of project governance structures, decision rights, controls, approval processes, and escalation mechanisms.
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Apply evidence-based techniques to assess scope, schedule, cost, risk, quality, procurement, change, resources, and stakeholder management controls.
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Identify control weaknesses, performance anomalies, data inconsistencies, governance gaps, and emerging risks using structured analytical techniques.
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Apply interviewing, walkthroughs, document analysis, sampling, observation, data testing, and evidence triangulation to support defensible findings.
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Develop clear audit findings, root cause analyses, risk ratings, recommendations, management responses, corrective actions, and follow-up mechanisms.
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Communicate assurance conclusions constructively to project boards, sponsors, executives, PMOs, project teams, and other stakeholders.
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Apply AI, process mining, continuous monitoring, and advanced analytics responsibly while protecting data integrity, confidentiality, cybersecurity, and human oversight.
Comprehensive Course Outline
Module 1: Foundations of Project Audit and Assurance
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Understanding the purpose, principles, scope, and value of project audit and independent assurance throughout the project lifecycle.
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Differentiating audits, assurance reviews, health checks, compliance reviews, quality assessments, and management oversight.
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Establishing independence, objectivity, professional skepticism, confidentiality, ethics, and appropriate assurance boundaries.
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Defining assurance roles, responsibilities, governance relationships, escalation pathways, and reporting authority.
Module 2: Risk-Based Audit Planning and Scoping
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Developing risk-based audit strategies that focus assurance resources on material project risks and critical control areas.
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Establishing audit objectives, scope boundaries, review criteria, methodology, timing, stakeholders, and evidence requirements.
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Assessing project risk profiles using business case assumptions, performance trends, risk registers, issues, changes, and governance concerns.
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Preparing audit plans, terms of reference, review programs, schedules, resource requirements, and stakeholder engagement strategies.
Module 3: Governance, Business Case and Project Initiation Assurance
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Evaluating project governance structures, decision rights, sponsorship, accountability, escalation mechanisms, and stage-gate arrangements.
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Reviewing business cases, investment assumptions, strategic alignment, options analysis, benefits, risks, and financial justification.
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Assessing project charters, objectives, scope boundaries, success criteria, stakeholder arrangements, and authorization processes.
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Identifying initiation weaknesses that could create downstream scope, funding, governance, delivery, or benefits realization problems.
Module 4: Scope, Schedule, Cost and Project Controls Assurance
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Auditing scope baselines, requirements, work breakdown structures, change control, acceptance criteria, and traceability mechanisms.
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Assessing schedule quality, logic, dependencies, critical path, milestones, progress measurement, forecasting, and schedule performance.
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Reviewing budgets, estimates, commitments, actual costs, forecasts, contingency, variance analysis, and financial control effectiveness.
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Testing integration between scope, schedule, cost, resources, risk, and performance reporting to identify control weaknesses and inconsistencies.
Module 5: Risk, Issue, Change and Quality Assurance
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Evaluating risk identification, assessment, response planning, ownership, monitoring, escalation, and residual-risk management.
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Reviewing issue management processes, escalation thresholds, action ownership, aging, resolution quality, and management visibility.
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Assessing change control effectiveness, impact analysis, authorization, configuration management, and unauthorized scope growth.
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Auditing quality management arrangements, inspection, testing, nonconformance management, corrective actions, and acceptance controls.
Module 6: Procurement, Contract and Supplier Assurance
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Reviewing procurement strategies, tender governance, supplier selection, contract structures, commercial controls, and approval requirements.
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Assessing supplier performance management, deliverables, payment controls, claims, variations, warranties, and contractual compliance.
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Testing contract administration records, procurement decisions, delegated authority, conflicts of interest, and commercial risk controls.
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Evaluating supplier dependencies, subcontracting arrangements, performance data, and escalation mechanisms across complex delivery environments.
Module 7: Audit Evidence, Testing and Analytical Techniques
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Applying interviews, walkthroughs, observations, document review, sampling, confirmations, data testing, and control testing techniques.
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Establishing reliable evidence trails that connect audit observations with source documentation, project records, systems, and stakeholder testimony.
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Evaluating data quality, completeness, accuracy, consistency, timeliness, authorization, and traceability within project information systems.
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Applying root cause analysis, exception analysis, trend analysis, variance analysis, and control effectiveness assessment to audit findings.
Module 8: Findings, Reporting and Corrective Action Management
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Developing clear findings that distinguish condition, criteria, cause, consequence, risk exposure, and supporting evidence.
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Applying consistent approaches to finding severity, risk ratings, priority classification, management responses, and escalation.
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Preparing executive assurance reports that communicate material issues, systemic weaknesses, recommendations, and required decisions.
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Establishing corrective action plans with accountable owners, target dates, measurable outcomes, dependencies, verification requirements, and escalation.
Module 9: Continuous Assurance, Follow-Up and Project Improvement
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Establishing follow-up reviews to verify corrective actions, control improvements, risk reductions, and sustained management responses.
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Using assurance findings to strengthen project methodologies, governance standards, controls, training, templates, and PMO practices.
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Integrating audit and assurance outputs with project health checks, portfolio reporting, risk management, lessons learned, and benefits governance.
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Measuring assurance effectiveness through recurring findings, closure rates, control maturity, risk reduction, and project performance improvements.
Module 10: Digital Audit, AI and Future Assurance Practices
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Applying AI-assisted document review, automated evidence classification, anomaly detection, and intelligent audit workpaper analysis.
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Using process mining, continuous controls monitoring, project data analytics, and predictive models to identify emerging control weaknesses.
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Designing digital assurance dashboards that provide near-real-time visibility of project governance, performance, risk, and control exceptions.
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Managing cybersecurity, privacy, data integrity, model bias, explainability, intellectual property, and human validation in AI-enabled assurance.
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.
