Public Revenue Management and Taxpayer Risk Administration Training Course

Course Introduction

Public revenue management and taxpayer risk administration are essential to strengthening domestic resource mobilization, improving compliance, protecting government revenues, and ensuring that tax-administration resources are directed toward the areas of greatest potential risk. Modern revenue institutions need integrated systems that connect taxpayer information, compliance intelligence, collection performance, risk assessment, taxpayer services, audit, enforcement, and management decision-making. This course provides a practical framework for achieving that integration.

Effective taxpayer risk administration begins with reliable information about taxpayer identities, obligations, filing behaviour, payment patterns, transaction activities, compliance histories, and interactions with revenue institutions. Participants will examine how revenue authorities can organize and analyze these information sources to identify emerging risks, distinguish different taxpayer behaviours, and develop proportionate responses. The programme emphasizes risk-based administration rather than uniform treatment of all taxpayers, helping institutions allocate limited resources more strategically.

Taxpayer risks can arise from non-registration, non-filing, under-reporting, inaccurate declarations, late payments, arrears, fraudulent claims, aggressive arrangements, deliberate evasion, and weaknesses in administrative processes. Participants will learn how to identify, assess, prioritize, and monitor these risks using structured risk-management frameworks. They will also explore how taxpayer service failures, unclear requirements, inaccessible systems, and administrative complexity can create avoidable compliance risks that should be addressed through assistance and process improvement.

The course connects taxpayer risk management with broader public revenue performance. Participants will examine how risk segmentation can support audit selection, compliance interventions, arrears management, collection activities, taxpayer education, service delivery, and enforcement. They will learn how to establish risk indicators, scoring models, treatment strategies, escalation rules, and performance measures while maintaining fairness, proportionality, confidentiality, procedural safeguards, and taxpayer rights.

Digital transformation is expanding the ability of revenue institutions to manage taxpayer risks through integrated databases, automated data matching, electronic filing, digital payments, dashboards, predictive analytics, machine learning, artificial intelligence, and real-time transaction monitoring. Participants will explore these capabilities while addressing data quality, cybersecurity, privacy, model validation, explainability, algorithmic bias, interoperability, and responsible use of automated risk systems. The course emphasizes that technology should strengthen professional judgement rather than replace appropriate oversight.

By the end of the programme, participants will be able to establish taxpayer risk-management frameworks, segment taxpayers, assess compliance risks, prioritize interventions, monitor risk outcomes, and connect risk intelligence with revenue-management decisions. They will gain practical approaches for using data, technology, taxpayer services, compliance actions, audit, collection, and enforcement in a coordinated manner. The course supports more targeted administration, improved compliance, stronger revenue protection, efficient use of institutional resources, and more sustainable public revenue performance.

Duration

5 days

Who Should Attend

• Senior government officials responsible for public revenue management, taxpayer compliance, tax administration, domestic resource mobilization, and fiscal performance.

• Revenue authority executives overseeing taxpayer risk, compliance strategy, collection, audit, enforcement, taxpayer services, and institutional transformation.

• Taxpayer risk managers responsible for compliance-risk frameworks, taxpayer segmentation, risk indicators, treatment strategies, and risk monitoring.

• Tax administration managers responsible for taxpayer registration, filing, assessment, payment, compliance interventions, audit, arrears, and enforcement.

• Revenue intelligence officers analyzing taxpayer behaviour, transaction information, payment patterns, compliance risks, and potential revenue threats.

• Tax compliance managers designing risk-based interventions, taxpayer education, verification, audit, enforcement, and voluntary-compliance programmes.

• Revenue collection managers responsible for payment performance, arrears management, recovery activities, collection risks, and revenue-protection operations.

• Tax audit and verification professionals using taxpayer information, risk scores, transaction data, and analytical intelligence to prioritize cases.

• Government finance and treasury officials using revenue-risk information for fiscal planning, forecasting, budget preparation, collection monitoring, and resource management.

• Data analysts and digital transformation professionals supporting taxpayer databases, analytics, risk engines, dashboards, automation, artificial intelligence, and integrated revenue platforms.

• Internal auditors, risk managers, and governance professionals assessing taxpayer-risk controls, data integrity, compliance processes, fraud exposure, and institutional accountability.

• Emerging public-sector leaders seeking advanced expertise in public revenue management, taxpayer risk administration, compliance intelligence, digital tax administration, and revenue protection.

Course Objectives

• Develop participants’ advanced understanding of public revenue management, taxpayer risk administration, compliance management, revenue protection, and domestic resource mobilization.

• Enable participants to identify taxpayer risks across registration, filing, reporting, assessment, payment, collection, arrears, audit, enforcement, and taxpayer-service processes.

• Strengthen participants’ ability to establish structured taxpayer-risk frameworks covering risk identification, assessment, prioritization, treatment, monitoring, escalation, and review.

• Equip participants with practical techniques for segmenting taxpayers according to compliance behaviour, revenue significance, transaction characteristics, risk exposure, and administrative needs.

• Improve participants’ ability to develop risk indicators and scoring approaches using taxpayer information, filing patterns, payment behaviour, transaction data, compliance history, and external intelligence.

• Develop participants’ capacity to design proportionate risk treatments combining taxpayer education, assistance, monitoring, verification, audit, enforcement, collection, and recovery interventions.

• Enable participants to use taxpayer-risk intelligence to improve audit selection, compliance operations, arrears management, collection efficiency, taxpayer services, and revenue-protection decisions.

• Strengthen participants’ ability to manage risks associated with data quality, privacy, cybersecurity, automated decisions, algorithmic bias, system integration, and inappropriate use of taxpayer information.

• Build advanced competence in predictive analytics, data matching, anomaly detection, dashboards, machine learning, artificial intelligence, real-time monitoring, and digital taxpayer-risk systems.

• Prepare participants to develop integrated taxpayer-risk administration strategies that improve compliance, revenue collection, taxpayer experience, operational efficiency, fairness, accountability, and sustainable revenue performance.

Comprehensive Course Outline

Module 1: Foundations of Public Revenue and Taxpayer Risk Management

• Principles, objectives, institutional responsibilities, and strategic importance of taxpayer risk administration within modern public revenue management.

• Understanding relationships among taxpayer behaviour, compliance risks, revenue collection, taxpayer services, audit, enforcement, arrears, and domestic resource mobilization.

• Establishing risk-management principles based on proportionality, fairness, evidence, transparency, confidentiality, consistency, and efficient use of administrative resources.

• Emerging risk challenges involving digital economies, complex business structures, cross-border transactions, new payment systems, informal activities, and rapidly changing taxpayer behaviour.

Module 2: Taxpayer Identification, Registration and Risk Profiling

• Establishing reliable taxpayer identities, classifications, obligations, account information, ownership structures, business activities, and compliance histories for risk analysis.

• Identifying registration risks involving non-registration, duplicate identities, inactive taxpayers, incorrect classifications, incomplete information, and inaccurate taxpayer records.

• Developing taxpayer profiles that combine demographic, economic, transaction, compliance, payment, filing, and administrative information for risk-based management.

• Emerging profiling capabilities involving digital identity, entity resolution, automated verification, beneficial ownership information, machine learning, and intelligent taxpayer databases.

Module 3: Taxpayer Risk Identification and Assessment

• Identifying compliance risks involving non-filing, under-reporting, inaccurate declarations, late payment, arrears, fraudulent claims, deliberate evasion, and administrative non-compliance.

• Establishing structured methodologies for evaluating likelihood, impact, revenue significance, taxpayer behaviour, control effectiveness, and potential consequences of identified risks.

• Developing taxpayer-risk registers, indicators, scoring frameworks, assessment criteria, risk categories, ownership arrangements, and escalation procedures.

• Emerging risk-assessment methods involving predictive analytics, behavioural modelling, network analysis, anomaly detection, artificial intelligence, and continuous risk monitoring.

Module 4: Taxpayer Segmentation and Risk-Based Compliance

• Applying taxpayer segmentation to differentiate low-risk, medium-risk, high-risk, emerging-risk, and strategically significant taxpayer populations.

• Designing differentiated compliance treatments involving education, assistance, reminders, monitoring, verification, audit, enforcement, collection, and recovery according to taxpayer risk.

• Balancing revenue significance and compliance risk to ensure administrative resources are directed toward interventions with the greatest potential impact.

• Emerging segmentation approaches involving dynamic risk profiles, real-time behavioural indicators, predictive scoring, machine learning, and adaptive compliance strategies.

Module 5: Revenue Collection, Arrears and Taxpayer Payment Risk

• Assessing payment risks through filing behaviour, payment histories, outstanding liabilities, arrears ageing, failed transactions, payment arrangements, and collection patterns.

• Developing differentiated arrears-management strategies based on collectability, taxpayer circumstances, risk, liability size, age, legal status, and recovery potential.

• Integrating taxpayer-risk information with reminders, payment support, collection actions, enforcement, recovery processes, and appropriate escalation mechanisms.

• Emerging payment-risk approaches involving predictive payment models, automated reminders, digital payment arrangements, behavioural interventions, and intelligent debt prioritization.

Module 6: Audit, Verification and Enforcement Risk Administration

• Applying taxpayer-risk information to improve audit selection, verification, case prioritization, evidence gathering, assessments, enforcement, and post-intervention monitoring.

• Developing risk-based audit strategies that focus resources on significant compliance risks while minimizing unnecessary interventions for taxpayers demonstrating consistent compliance.

• Coordinating audit, compliance, collection, taxpayer services, intelligence, enforcement, and dispute-management functions around integrated taxpayer-risk information.

• Emerging audit capabilities involving continuous transaction monitoring, automated data matching, predictive audit selection, AI-assisted verification, digital evidence analysis, and intelligent enforcement.

Module 7: Taxpayer Service and Risk Reduction

• Identifying service barriers involving unclear requirements, inaccessible channels, processing delays, communication gaps, system difficulties, and administrative complexity that can increase compliance risks.

• Using taxpayer education, proactive communication, service support, digital guidance, reminders, and responsive assistance to reduce avoidable non-compliance.

• Integrating taxpayer feedback, complaints, service requests, journey analysis, and interaction data into taxpayer-risk identification and prevention strategies.

• Emerging service approaches involving personalized guidance, virtual assistants, behavioural messaging, predictive service needs, omnichannel support, and AI-enabled compliance assistance.

Module 8: Revenue Data, Analytics and Risk Intelligence

• Integrating taxpayer, filing, payment, assessment, transaction, audit, collection, arrears, service, and authorized third-party information for comprehensive risk intelligence.

• Applying data-quality controls covering accuracy, completeness, consistency, timeliness, reconciliation, validation, duplication management, and information governance.

• Developing dashboards, risk reports, intelligence products, alerts, and management tools that convert taxpayer information into actionable revenue-risk decisions.

• Emerging analytical capabilities involving machine learning, graph analytics, predictive risk models, real-time data matching, generative AI, and automated taxpayer-risk intelligence.

Module 9: Digital Taxpayer Risk Systems, Governance and Security

• Designing digital risk-management environments that integrate taxpayer databases, compliance systems, audit platforms, payment systems, collection tools, and analytical applications.

• Establishing governance controls for taxpayer information covering privacy, confidentiality, authorized access, cybersecurity, audit trails, retention, data sharing, and accountability.

• Managing risks associated with automated risk scoring, model errors, algorithmic bias, system dependency, interoperability failures, data breaches, and inappropriate automated decisions.

• Emerging technology issues involving AI-enabled risk engines, real-time tax administration, digital identity, cloud platforms, autonomous workflows, advanced analytics, and responsible AI governance.

Module 10: Strategic Taxpayer Risk Administration and Revenue Performance

• Integrating taxpayer-risk management with revenue strategy, compliance, collection, audit, enforcement, taxpayer services, digital transformation, data governance, and institutional performance.

• Developing taxpayer-risk improvement strategies with clear priorities, risk owners, treatment actions, performance indicators, resources, implementation milestones, and review mechanisms.

• Establishing continuous-risk-management systems using compliance outcomes, revenue performance, taxpayer behaviour, audit findings, service data, and changing economic conditions.

• Future trends involving predictive tax administration, real-time compliance management, autonomous risk monitoring, AI-enabled revenue intelligence, integrated government data ecosystems, and adaptive taxpayer 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.