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| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 1,740USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 07/09/2026 to 18/09/2026 | Nairobi | 2,900 USD | Register |
| 07/09/2026 to 18/09/2026 | Mombasa | 3,400 USD | Register |
| 05/10/2026 to 16/10/2026 | Nairobi | 2,900 USD | Register |
| 02/11/2026 to 13/11/2026 | Mombasa | 3,400 USD | Register |
| 02/11/2026 to 13/11/2026 | Nairobi | 2,900 USD | Register |
| 07/12/2026 to 18/12/2026 | Nairobi | 2,900 USD | Register |
| 07/12/2026 to 18/12/2026 | Mombasa | 3,400 USD | Register |
Course Introduction
The Public Revenue Administration Reform and Collection Performance Training Course provides an advanced framework for modernizing public revenue administration and improving collection performance through institutional reform, operational improvement, taxpayer compliance, digital transformation, and evidence-based management. The programme is designed to help public institutions translate reform initiatives into measurable and sustainable revenue outcomes.
Revenue administration reform requires coordinated improvements in policies, processes, organizational structures, workforce capabilities, technology, taxpayer services, compliance management, and governance. This course examines how these components interact and provides participants with practical approaches for diagnosing institutional weaknesses, prioritizing reforms, managing implementation, and strengthening the capacity of revenue institutions to deliver improved performance.
Collection performance is addressed as a multidimensional management challenge rather than simply a numerical target. Participants will examine collection efficiency, revenue forecasting, taxpayer segmentation, compliance risk, arrears, debt recovery, audit, enforcement, payment systems, operational productivity, and revenue leakage. The programme emphasizes performance measurement and management techniques that connect operational improvements with actual fiscal results.
The course also focuses on taxpayer-centred reform. Participants will explore how simpler registration, clearer guidance, responsive services, accessible payment channels, effective communication, and efficient complaints management can reduce compliance costs and encourage voluntary compliance. The programme demonstrates how improved taxpayer experience can become an important driver of stronger collection performance and institutional legitimacy.
Digital transformation and data-driven administration are integrated throughout the programme. Participants will examine electronic filing, electronic invoicing, digital payments, taxpayer portals, automated workflows, data integration, business intelligence, predictive analytics, artificial intelligence, anomaly detection, and real-time revenue monitoring. Emerging challenges involving cybersecurity, privacy, interoperability, responsible AI, and digital inclusion are also considered.
The programme is strongly impact-oriented, enabling participants to develop practical reform and performance-improvement strategies that can be implemented within their institutions. By the end of the course, participants will be better prepared to reduce revenue leakage, improve compliance, increase collection efficiency, strengthen institutional capacity, modernize taxpayer services, and establish performance systems capable of sustaining long-term public revenue improvements.
10 days
Senior government officials responsible for revenue administration, taxation, fiscal policy, and public financial management.
Commissioners, directors, departmental heads, and senior managers within revenue authorities and public revenue institutions.
Revenue reform managers responsible for institutional modernization, organizational restructuring, and performance-improvement programmes.
Tax compliance, audit, enforcement, collection, debt-management, and taxpayer-service managers.
Tax officers, revenue officers, compliance specialists, auditors, investigators, and collection professionals.
Finance ministry and treasury officials responsible for revenue performance, fiscal planning, forecasting, and budget management.
Revenue economists, analysts, statisticians, performance-management specialists, and management-information professionals.
Digital transformation, IT, data analytics, automation, cybersecurity, and artificial intelligence specialists supporting revenue reform.
Internal auditors, governance specialists, risk managers, fraud-prevention professionals, and revenue-protection officers.
Local government officials responsible for taxation, fees, licences, charges, and other own-source revenue.
Public-sector reform, organizational-development, institutional-capacity, and change-management professionals.
Consultants, advisers, researchers, development practitioners, and public-sector professionals supporting revenue administration reform.
Develop advanced understanding of public revenue administration reform and its contribution to fiscal sustainability, institutional performance, and effective government.
Strengthen participants’ ability to diagnose weaknesses in revenue institutions, processes, structures, systems, workforce capabilities, controls, and taxpayer-facing services.
Develop practical reform strategies that align revenue policy, administration, technology, organizational capacity, taxpayer compliance, and collection-performance objectives.
Improve collection performance through stronger operational planning, workflow optimization, payment management, reconciliation, arrears recovery, and resource allocation.
Strengthen taxpayer compliance through segmentation, risk assessment, education, communication, service improvement, monitoring, audit, and proportionate enforcement.
Enable participants to identify and reduce revenue leakage arising from administrative weaknesses, fraud, non-compliance, poor controls, inaccurate data, and inefficient collection processes.
Develop performance-management systems that connect strategic revenue objectives with operational indicators, departmental targets, individual responsibilities, and measurable fiscal outcomes.
Improve the use of revenue data, business intelligence, dashboards, predictive analytics, and management information for evidence-based reform and collection decisions.
Strengthen digital transformation capabilities through e-registration, e-filing, electronic invoicing, digital payments, automation, integrated systems, and intelligent revenue platforms.
Enhance institutional governance through stronger accountability, internal controls, risk management, cybersecurity, data protection, auditability, and operational resilience.
Equip participants to manage organizational change, stakeholder engagement, workforce development, reform communication, implementation risks, and institutional adoption.
Develop integrated revenue administration reform roadmaps with measurable targets for collection growth, compliance improvement, leakage reduction, productivity, taxpayer satisfaction, and sustainable institutional performance.
Examine the strategic role of revenue administration in fiscal sustainability, public expenditure, government effectiveness, economic development, and public trust.
Analyse the major components of revenue administration, including taxpayer services, registration, compliance, collection, audit, enforcement, debt, technology, and governance.
Assess common institutional weaknesses that reduce collection performance, increase administrative costs, undermine compliance, and limit public revenue potential.
Explore emerging reform pressures associated with digital economies, informal activities, cross-border transactions, changing taxpayer expectations, and technological disruption.
Apply institutional diagnostic techniques to assess organizational structures, processes, systems, workforce capabilities, controls, taxpayer services, and revenue performance.
Identify critical reform gaps through process analysis, benchmarking, performance reviews, stakeholder consultations, data analysis, and institutional maturity assessments.
Prioritize reform interventions according to revenue impact, implementation feasibility, institutional readiness, risk, cost, urgency, and expected public value.
Explore emerging diagnostic methods involving process mining, AI-assisted assessment, predictive reform analytics, digital maturity models, and real-time institutional monitoring.
Align revenue-administration strategies with fiscal objectives, revenue policies, collection targets, taxpayer needs, institutional capacity, and broader government priorities.
Examine how policy design affects administrative complexity, taxpayer compliance, collection costs, revenue predictability, and institutional workload.
Develop strategic frameworks linking revenue objectives with operational programmes, resource allocation, performance indicators, governance arrangements, and implementation responsibilities.
Explore emerging policy and administrative challenges arising from digital business models, platform economies, electronic commerce, environmental taxation, and new forms of economic activity.
Assess organizational structures, functional responsibilities, reporting lines, decision rights, staffing arrangements, and coordination mechanisms within revenue institutions.
Develop organizational-improvement approaches that eliminate duplication, clarify accountability, strengthen coordination, and improve operational responsiveness.
Align workforce skills, leadership capabilities, performance systems, incentives, and professional development with modern revenue-administration requirements.
Address emerging workforce issues involving automation, artificial intelligence, digital skills, hybrid operating models, data literacy, and changing revenue-professional roles.
Develop taxpayer segmentation and compliance-risk frameworks based on taxpayer characteristics, behaviour, revenue significance, compliance history, and administrative risk.
Design differentiated compliance strategies combining taxpayer education, service, reminders, monitoring, verification, audit, enforcement, and recovery measures.
Identify major drivers of non-registration, non-filing, under-reporting, non-payment, inaccurate reporting, and other compliance weaknesses.
Explore emerging applications of machine learning, predictive risk scoring, behavioural analytics, network analysis, explainable AI, and continuous compliance monitoring.
Examine revenue collection workflows covering billing, payment initiation, processing, allocation, reconciliation, refunds, exceptions, reporting, and account management.
Identify operational bottlenecks, manual processes, duplication, processing delays, reconciliation weaknesses, system failures, and resource constraints affecting collection performance.
Apply process redesign, workflow optimization, automation, productivity measurement, benchmarking, and performance management to improve collection efficiency.
Explore emerging developments involving process mining, robotic process automation, intelligent workflows, real-time processing, and AI-assisted collection operations.
Identify revenue leakage caused by non-compliance, fraud, inaccurate assessments, improper exemptions, unauthorized adjustments, weak reconciliations, and inefficient administrative processes.
Strengthen internal controls through segregation of duties, authorization, transaction validation, reconciliation, supervisory review, audit trails, and exception management.
Develop revenue-protection programmes connecting risk assessment, compliance intelligence, fraud detection, audit, enforcement, recovery, and institutional controls.
Explore emerging issues involving AI fraud detection, anomaly analytics, cyber-enabled revenue risks, insider threats, automated manipulation, and continuous control monitoring.
Analyse revenue arrears according to value, ageing, taxpayer characteristics, collectability, compliance history, and underlying causes of non-payment.
Develop debt-segmentation and recovery strategies that allocate collection resources according to financial significance, taxpayer behaviour, and recovery potential.
Strengthen payment arrangements, reminders, escalation procedures, enforcement, recovery workflows, write-off controls, and arrears-performance monitoring.
Explore emerging applications of predictive debt analytics, automated communications, digital payment plans, AI-supported prioritization, and intelligent recovery systems.
Redesign taxpayer services to make registration, filing, payment, information access, account management, complaints, and compliance processes simpler and more accessible.
Develop taxpayer education and communication programmes using plain language, targeted messaging, behavioural insights, reminders, and multiple service channels.
Establish service standards covering accessibility, responsiveness, accuracy, resolution times, first-contact resolution, complaints handling, and taxpayer satisfaction.
Explore emerging issues involving AI assistants, personalized taxpayer communication, predictive service needs, multilingual digital services, and inclusive service design.
Design integrated digital revenue platforms connecting registration, filing, assessment, payment, collection, compliance, audit, debt, taxpayer services, and management reporting.
Implement electronic filing, electronic invoicing, digital payments, taxpayer portals, mobile services, automated workflows, and other technologies that reduce administrative burdens.
Develop digital-transformation roadmaps covering technology architecture, data integration, process redesign, cybersecurity, user adoption, interoperability, and institutional readiness.
Explore emerging developments involving generative AI, intelligent revenue assistants, autonomous workflows, digital identity, real-time monitoring, and predictive tax administration.
Establish revenue-data governance frameworks covering ownership, quality, access, privacy, security, integration, interoperability, retention, and responsible information use.
Apply descriptive, diagnostic, predictive, and prescriptive analytics to understand revenue trends, compliance risks, collection opportunities, operational weaknesses, and reform results.
Develop executive dashboards connecting collection performance, compliance, arrears, audit, enforcement, taxpayer services, productivity, risks, and institutional improvement.
Explore emerging developments involving AI-powered revenue intelligence, automated anomaly detection, network analytics, real-time data platforms, and responsible AI governance.
Develop revenue forecasts using historical collections, economic indicators, taxpayer behaviour, compliance trends, policy changes, administrative performance, and seasonal patterns.
Apply scenario analysis, sensitivity testing, variance analysis, and forecast-performance reviews to improve revenue planning and identify emerging fiscal risks.
Align collection targets, staffing, technology, operational budgets, compliance programmes, and enforcement resources with expected revenue opportunities and institutional priorities.
Explore emerging approaches involving machine learning, high-frequency economic data, AI-assisted forecasting, probabilistic modelling, dynamic scenarios, and real-time forecast adjustment.
Establish performance frameworks covering revenue growth, collection efficiency, compliance, arrears, audit, enforcement, taxpayer services, productivity, costs, and leakage reduction.
Develop key performance indicators and management dashboards that connect institutional objectives with departmental responsibilities and operational results.
Apply benchmarking, trend analysis, variance analysis, productivity measurement, performance reviews, and corrective-action systems to sustain collection improvements.
Explore emerging developments involving predictive performance indicators, automated reporting, AI-generated management insights, real-time dashboards, and continuous performance intelligence.
Strengthen governance structures through clear accountability, oversight, decision rights, reporting mechanisms, escalation procedures, and effective internal controls.
Identify cybersecurity, data-protection, operational, financial, and institutional risks affecting modern revenue administration and digital collection systems.
Develop business-continuity, disaster-recovery, incident-response, access-control, privacy, and operational-resilience arrangements for critical revenue functions.
Address emerging threats involving AI-enabled cyberattacks, synthetic identities, deepfakes, ransomware, insider risks, zero-trust architectures, and responsible technology governance.
Develop reform leadership capabilities for setting direction, building institutional ownership, mobilizing resources, managing stakeholders, and sustaining political and administrative commitment.
Design change-management strategies covering communication, consultation, training, resistance management, implementation sequencing, adoption, incentives, and institutional reinforcement.
Establish reform implementation frameworks with milestones, responsibilities, dependencies, risks, resources, performance indicators, and mechanisms for corrective action.
Explore emerging change-management issues involving AI adoption, automation, digital transformation, workforce redesign, institutional agility, and continuous reform.
Integrate institutional reform, taxpayer compliance, collection operations, revenue protection, digital transformation, analytics, workforce development, governance, and performance management.
Develop comprehensive reform roadmaps with measurable targets for collection growth, compliance improvement, leakage reduction, arrears recovery, productivity, and taxpayer satisfaction.
Establish continuous-improvement systems that use revenue data, taxpayer feedback, operational performance, emerging risks, technology developments, and reform evaluations.
Prepare for emerging developments involving AI-powered revenue administration, predictive compliance, real-time collection intelligence, intelligent enforcement, digital economies, and adaptive revenue institutions.
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.
| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 1,740USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 07/09/2026 to 18/09/2026 | Nairobi | 2,900 USD | Register |
| 07/09/2026 to 18/09/2026 | Mombasa | 3,400 USD | Register |
| 05/10/2026 to 16/10/2026 | Nairobi | 2,900 USD | Register |
| 02/11/2026 to 13/11/2026 | Mombasa | 3,400 USD | Register |
| 02/11/2026 to 13/11/2026 | Nairobi | 2,900 USD | Register |
| 07/12/2026 to 18/12/2026 | Nairobi | 2,900 USD | Register |
| 07/12/2026 to 18/12/2026 | Mombasa | 3,400 USD | Register |
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