Course Introduction

The Public Revenue Collection, Taxpayer Services and Compliance Training Course provides a comprehensive framework for improving government revenue collection while strengthening taxpayer services, voluntary compliance, administrative efficiency, and public confidence in revenue institutions. The programme examines how revenue authorities can increase sustainable collections without creating unnecessary compliance burdens or undermining fairness and trust.

Effective public revenue administration requires a balanced approach. Revenue institutions must collect taxes and other public revenues efficiently while providing taxpayers with accessible information, responsive services, predictable procedures, and appropriate opportunities to resolve issues. Participants will examine how taxpayer experience, administrative simplicity, transparency, fairness, and enforcement effectiveness interact to influence compliance behaviour.

The course covers the complete revenue collection and compliance cycle, including taxpayer registration, taxpayer identification, filing, assessment, payment, collection, arrears management, compliance risk management, audit, enforcement, refunds, objections, complaints, and service recovery. Participants will learn how to identify weaknesses in revenue processes and develop practical interventions to improve collection performance.

A strong emphasis is placed on risk-based compliance management. Participants will learn how to segment taxpayers, identify high-risk behaviours, prioritize compliance interventions, design audit programmes, improve debt collection, detect revenue leakage, and distinguish between deliberate non-compliance and administrative or capacity-related difficulties.

The programme also explores modern taxpayer service models. Participants will examine digital taxpayer portals, e-filing, electronic payments, taxpayer education, call centres, service standards, complaint management, proactive communication, and assisted digital services. Particular attention is given to creating taxpayer journeys that minimize unnecessary administrative friction while maintaining appropriate controls.

Digital transformation is increasingly reshaping revenue administration. The course examines data analytics, automated compliance checks, electronic invoicing, artificial intelligence, predictive risk assessment, digital identity, transaction monitoring, and real-time revenue intelligence. Participants will also consider cybersecurity, privacy, data governance, algorithmic fairness, interoperability, auditability, and responsible AI use.

By the end of the programme, participants will be able to strengthen public revenue collection, improve taxpayer service delivery, develop risk-based compliance strategies, manage revenue arrears, identify leakage, and use digital tools to support more efficient and responsive revenue administration.

Duration

10 Days

Who Should Attend

• Senior officials responsible for public revenue collection, taxation, fiscal administration, and taxpayer services.

• Tax commissioners, revenue authority executives, directors, managers, and senior administrators.

• Heads and managers of taxpayer registration, filing, assessment, collection, compliance, audit, enforcement, and debt-management functions.

• Taxpayer service officers, customer-care teams, call-centre managers, and public-facing revenue officials.

• Tax compliance officers, tax auditors, investigators, and enforcement professionals.

• Revenue analysts responsible for collection performance, taxpayer segmentation, compliance risk, forecasting, and revenue intelligence.

• Finance ministry and treasury officials involved in revenue forecasting and fiscal management.

• Customs and border-revenue officials involved in collection and compliance.

• Local government revenue officers responsible for property taxes, business licences, fees, charges, and other local revenues.

• Internal auditors, risk managers, compliance professionals, and anti-fraud specialists.

• Digital transformation, IT, data analytics, automation, and AI professionals working with revenue systems.

• Public policy and fiscal-management professionals involved in revenue reform.

• Consultants, advisers, researchers, development practitioners, and public-sector leaders working in taxation and revenue administration.

Course Objectives

• Strengthen participants’ understanding of modern public revenue collection and taxpayer compliance systems.

• Improve the efficiency, accuracy, timeliness, and sustainability of government revenue collection.

• Develop practical approaches for improving taxpayer registration, filing, assessment, payment, and collection processes.

• Strengthen taxpayer service quality through accessible information, responsive communication, digital channels, and effective complaint management.

• Develop risk-based taxpayer segmentation and compliance-management strategies.

• Improve participants’ ability to identify, analyse, and respond to taxpayer compliance risks.

• Strengthen tax audit, verification, enforcement, arrears management, and debt-recovery practices.

• Develop methods for reducing revenue leakage, fraud, non-compliance, and administrative inefficiency.

• Improve revenue performance monitoring through collection indicators, trend analysis, forecasting, and compliance analytics.

• Equip participants to design taxpayer-centred service journeys that reduce unnecessary compliance costs.

• Develop capabilities in digital revenue administration, e-filing, electronic payments, data analytics, automation, and artificial intelligence.

• Strengthen governance of taxpayer data, cybersecurity, privacy, algorithmic decision-making, and digital revenue systems.

• Enable participants to integrate taxpayer services, compliance management, enforcement, and revenue collection into a coherent operating model.

• Prepare participants to support revenue modernization initiatives that improve both fiscal performance and taxpayer confidence.

Comprehensive Course Outline

Module 1: Foundations of Public Revenue Collection and Compliance

• Principles and objectives of public revenue collection.

• The relationship between revenue collection, fiscal sustainability, public expenditure, and government service delivery.

• Understanding the taxpayer compliance cycle from registration through payment and post-filing compliance.

• Balancing revenue objectives with taxpayer rights, administrative fairness, transparency, and service quality.

• Emerging issues involving digital economies, informal sectors, cross-border activity, economic volatility, and changing taxpayer expectations.

Module 2: Revenue Collection Governance and Institutional Responsibilities

• Roles of revenue authorities, finance ministries, treasuries, customs agencies, local governments, and other public institutions.

• Establishing clear responsibilities for registration, assessment, collection, compliance, audit, enforcement, and taxpayer services.

• Coordination between revenue collection, fiscal planning, financial management, and public accountability.

• Emerging governance issues involving integrated revenue institutions, shared data platforms, whole-of-government services, and real-time fiscal information.

Module 3: Taxpayer Registration and Identification

• Designing effective taxpayer registration and identification systems.

• Maintaining accurate taxpayer records and master databases.

• Identifying unregistered taxpayers, duplicate registrations, inactive accounts, and data-quality problems.

• Connecting taxpayer registration with business registration, licensing, customs, property, payroll, and other government information.

• Emerging issues involving digital identity, automated registration, biometric verification, AI-assisted identity validation, and integrated taxpayer databases.

Module 4: Taxpayer Services and Customer Experience

• Designing taxpayer-centred service models.

• Providing clear information, guidance, education, assistance, and communication.

• Establishing service standards, response times, service channels, and escalation mechanisms.

• Managing taxpayer enquiries, complaints, objections, disputes, and service recovery.

• Emerging issues involving digital portals, mobile services, virtual assistants, AI chatbots, personalized services, and omnichannel taxpayer support.

Module 5: Filing, Assessment and Payment Administration

• Managing taxpayer filing obligations, assessments, declarations, adjustments, and payment processes.

• Improving filing accuracy, timeliness, validation, and compliance.

• Designing convenient and secure payment channels.

• Identifying administrative causes of late filing, incorrect declarations, payment delays, and taxpayer errors.

• Emerging issues involving pre-filled returns, automated validation, electronic invoicing, digital payments, real-time reporting, and AI-supported assessment.

Module 6: Revenue Collection Management

• Managing tax collection across different revenue streams and taxpayer categories.

• Monitoring collections against targets, forecasts, budgets, and historical performance.

• Identifying collection gaps, underperformance, payment delays, and revenue leakage.

• Improving collection processes through workflow redesign, performance management, and targeted interventions.

• Emerging issues involving automated collection systems, predictive collection analytics, intelligent payment reminders, and real-time revenue dashboards.

Module 7: Compliance Risk Management and Taxpayer Segmentation

• Segmenting taxpayers according to size, sector, behaviour, compliance history, complexity, and risk.

• Developing risk indicators and taxpayer risk profiles.

• Prioritizing compliance interventions according to potential revenue impact and taxpayer risk.

• Differentiating between deliberate evasion, misunderstanding, administrative errors, and capacity-related non-compliance.

• Emerging issues involving machine learning, predictive risk scoring, behavioural analytics, AI-supported segmentation, and continuous compliance monitoring.

Module 8: Tax Audit, Verification and Compliance Interventions

• Developing risk-based audit programmes.

• Selecting audit cases using objective risk indicators and revenue significance.

• Conducting desk reviews, field audits, transaction verification, and document examination.

• Ensuring procedural fairness, evidence quality, documentation, and taxpayer communication.

• Emerging issues involving electronic audit trails, data analytics, AI-assisted audit selection, automated transaction analysis, and continuous compliance monitoring.

Module 9: Revenue Enforcement and Tax Fraud Management

• Identifying tax evasion, under-reporting, false declarations, fictitious transactions, concealment, and other forms of non-compliance.

• Developing investigation, enforcement, referral, and escalation procedures.

• Coordinating revenue enforcement with customs, financial intelligence, law enforcement, business registries, and other government institutions where legally appropriate.

• Strengthening evidence management and case documentation.

• Emerging issues involving network analytics, digital financial trails, AI fraud detection, automated anomaly identification, cyber-enabled tax fraud, and sophisticated evasion techniques.

Module 10: Revenue Arrears and Debt Management

• Understanding the causes and characteristics of government revenue arrears.

• Segmenting tax debts according to age, size, risk, collectability, and taxpayer behaviour.

• Designing payment arrangements, reminders, recovery actions, escalation processes, and write-off controls.

• Monitoring debt recovery performance and identifying persistent collection problems.

• Emerging issues involving predictive debt analytics, automated reminders, digital payment plans, AI-supported prioritization, and intelligent debt-management systems.

Module 11: Revenue Leakage and Collection Efficiency

• Identifying revenue leakage throughout registration, assessment, collection, refunds, adjustments, enforcement, and reporting.

• Analysing process weaknesses, data gaps, fraud risks, administrative errors, and control failures.

• Measuring collection efficiency and administrative cost of revenue collection.

• Developing corrective measures to improve revenue yield and reduce unnecessary administrative costs.

• Emerging issues involving real-time transaction monitoring, AI anomaly detection, process mining, automated controls, and predictive leakage analysis.

Module 12: Revenue Performance Monitoring and Analytics

• Developing key performance indicators for revenue collection and compliance.

• Analysing revenue trends, collection rates, filing behaviour, audit yields, arrears, taxpayer service performance, and compliance outcomes.

• Designing management dashboards and performance reports for revenue executives.

• Using analytics to identify sectors, taxpayer groups, locations, and processes requiring intervention.

• Emerging issues involving predictive analytics, AI-generated insights, real-time dashboards, automated reporting, and revenue intelligence platforms.

Module 13: Digital Revenue Administration

• Implementing e-registration, e-filing, electronic invoicing, digital payments, taxpayer portals, and automated workflows.

• Integrating tax administration systems with relevant government databases.

• Applying artificial intelligence, machine learning, automation, and data analytics to compliance and collection.

• Establishing data governance, cybersecurity, privacy, interoperability, system reliability, auditability, and human oversight.

• Emerging issues involving generative AI, intelligent taxpayer assistants, real-time transaction reporting, autonomous compliance workflows, digital identity, and predictive revenue systems.

Module 14: Taxpayer Communication, Education and Voluntary Compliance

• Developing communication strategies that improve taxpayer understanding and voluntary compliance.

• Designing taxpayer education programmes for individuals, businesses, professional advisers, and priority sectors.

• Using behavioural insights to encourage timely registration, filing, payment, and correction of errors.

• Managing public communication during policy changes, enforcement campaigns, system changes, and service disruptions.

• Emerging issues involving personalized digital communication, behavioural analytics, AI-supported taxpayer education, automated notifications, and intelligent communication platforms.

Module 15: Revenue Governance, Integrity and Accountability

• Strengthening internal controls over revenue collection, adjustments, refunds, waivers, enforcement, and taxpayer information.

• Managing corruption risks, conflicts of interest, unauthorized adjustments, collusion, and abuse of administrative authority.

• Protecting taxpayer information through appropriate privacy, security, access, and data-governance arrangements.

• Coordinating internal audit, compliance, risk management, management oversight, and external accountability.

• Emerging issues involving insider threats, cyber-enabled fraud, automated manipulation, AI-generated documents, digital identity risks, and continuous controls monitoring.

Module 16: Integrated Revenue Collection and Future Compliance Management

• Integrating taxpayer services, registration, filing, assessment, collection, compliance, audit, enforcement, debt management, analytics, and reporting.

• Developing balanced revenue strategies that combine service improvement with proportionate, risk-based enforcement.

• Establishing continuous improvement mechanisms for revenue processes, workforce capability, technology, taxpayer experience, and institutional performance.

• Emerging future issues involving AI-powered revenue administration, predictive compliance, real-time taxation, intelligent enforcement, automated collection, digital economies, and adaptive tax management.

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.