Training on AI in Tax Administration & Revenue Forecasting
Master AI in tax administration with predictive analytics, fraud detection, taxpayer risk profiling, and revenue forecasting through practical training.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
Training on AI in Tax Administration & Revenue Forecasting is designed to equip tax professionals, revenue authorities, finance officers, policymakers, and public sector leaders with the knowledge and practical skills to leverage Artificial Intelligence (AI) for modern tax administration and data-driven revenue management. As governments increasingly adopt digital technologies to improve tax compliance, detect fraud, and optimize revenue collection, AI has become a critical tool for enhancing efficiency, transparency, and decision-making.
This 10-day intensive program explores AI applications in tax compliance, risk assessment, taxpayer segmentation, fraud detection, predictive analytics, and revenue forecasting. Through practical demonstrations, case studies, and hands-on exercises, participants will learn how to utilize AI-powered tools to strengthen tax administration processes, improve forecasting accuracy, and support evidence-based fiscal planning.
Duration
10 Days
Who Should Attend:
- Tax Administration Officers
- Revenue Authority Officials
- Tax Auditors and Compliance Officers
- Finance and Treasury Managers
- Public Finance Specialists
- Economists and Revenue Analysts
- Policymakers and Government Officials
- Data Analysts and Business Intelligence Professionals
- ICT and Digital Transformation Teams
- Public Sector Managers
What you'll walk away with
By the end of the training, participants will be able to:
- Understand the fundamentals of AI and its role in tax administration.
- Apply AI-driven analytics to improve tax compliance and revenue collection.
- Utilize machine learning techniques for taxpayer risk profiling and fraud detection.
- Develop data-driven revenue forecasting models.
- Leverage AI for policy analysis and strategic tax planning.
- Enhance decision-making through predictive analytics and business intelligence.
- Identify ethical, legal, and governance considerations in AI implementation.
What we cover, module by module
Module 1: Introduction to AI in Tax Administration
- Fundamentals of Artificial Intelligence and Machine Learning
- Digital transformation in tax administration
- AI applications in tax collection and compliance
- Global trends and best practices
- Opportunities and challenges of AI adoption
- Case Study: How a revenue authority improved tax compliance through AI-powered analytics.
- Practical Exercise: Assess AI readiness and identify potential AI use cases within participants' organizations.
Module 2: Data Management for AI-Driven Tax Systems
- Tax data ecosystems and data sources
- Data quality, governance, and integration
- Data cleaning and preparation techniques
- Structured vs. unstructured tax data
- Building data-driven tax administration systems
- Case Study: Improving tax data quality to enhance decision-making.
- Practical Exercise: Prepare and organize tax datasets for AI analysis.
Module 3: AI for Tax Compliance & Risk Assessment
- Predictive analytics for compliance monitoring
- Taxpayer segmentation using AI
- Risk-based audit selection
- Identifying non-compliance patterns
- Intelligent compliance management
- Case Study: AI-powered taxpayer risk profiling for targeted audits.
- Practical Exercise: Develop a taxpayer risk assessment model using sample datasets.
Module 4: AI for Fraud Detection & Investigation
- Machine learning for fraud detection
- Anomaly detection techniques
- Identifying tax evasion patterns
- Continuous transaction monitoring
- AI-assisted investigations
- Case Study: Detecting fraudulent tax claims through AI algorithms.
- Practical Exercise: Analyze tax transactions to identify suspicious activities.
Module 5: Revenue Forecasting with AI & Predictive Analytics
- Principles of revenue forecasting
- Machine learning forecasting models
- Time-series analysis
- Economic indicators and tax revenue prediction
- Forecast accuracy and performance measurement
- Case Study: AI-driven revenue forecasting for national fiscal planning.
- Practical Exercise: Build a basic revenue forecasting model using historical tax data.
Module 6: Business Intelligence & Data Visualization
- AI-powered dashboards and reporting
- Data visualization for revenue analysis
- Interactive reporting tools
- Performance indicators and revenue monitoring
- Supporting executive decision-making
- Case Study: Using business intelligence to improve tax administration performance.
- Practical Exercise: Create an executive revenue dashboard using sample data.
Module 7: AI Governance, Ethics & Regulatory Compliance
- Responsible AI principles
- Data privacy and security
- AI governance frameworks
- Ethical considerations in tax automation
- Regulatory compliance and accountability
- Case Study: Managing ethical risks in AI-based tax decision-making.
- Practical Exercise: Develop an AI governance checklist for a revenue institution.
Module 8: AI Strategy & Digital Transformation
- Developing AI strategies for tax authorities
- Digital transformation roadmaps
- Change management for AI implementation
- Stakeholder engagement
- Measuring AI adoption success
- Case Study: Digital transformation of a tax administration agency through AI.
- Practical Exercise: Develop an AI implementation roadmap for participants' organizations.
Module 9: Emerging AI Technologies in Revenue Management
- Generative AI for tax administration
- Intelligent document processing
- Robotic Process Automation (RPA)
- Natural Language Processing (NLP) applications
- Future trends in AI and public finance
- Case Study: Automating taxpayer services using AI-powered virtual assistants.
- Practical Exercise: Identify automation opportunities within tax administration workflows.
Module 10: AI Implementation Capstone & Action Planning
- AI project planning and execution
- Measuring AI project outcomes
- Performance monitoring and continuous improvement
- Building sustainable AI initiatives
- Institutional action planning
- Case Study: Successful implementation of an AI-driven tax modernization program.
- Practical Exercise: Participants will develop and present a comprehensive AI in Tax Administration & Revenue Forecasting Action Plan for implementation within their organizations.
Where the change lands
Individual Impact
- Apply AI tools to improve tax administration processes.
- Strengthen analytical and revenue forecasting capabilities.
- Enhance data-driven decision-making and policy development.
- Identify tax compliance risks and fraud patterns more effectively.
- Lead digital transformation initiatives within their organizations.
Organizational Impact
- Improved tax compliance and revenue collection efficiency.
- More accurate revenue forecasting and fiscal planning.
- Enhanced fraud detection and risk management.
- Better utilization of tax data for strategic decision-making.
- Increased operational efficiency through AI-powered automation.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
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For corporate teams
Training 10+ professionals?
We deliver Training on AI in Tax Administration & Revenue Forecasting in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.