Taxation and Revenue

Tax – Impact of Artificial Intelligence & Automation Training Course

Introduction

Artificial intelligence and automation are transforming global tax administration, risk management, and compliance processes at an unprecedented pace. Governments, tax authorities, and organizations are increasingly integrating AI-driven tools to enhance accuracy, increase efficiency, and improve taxpayer services. Tax – Impact of Artificial Intelligence & Automation Training Course examines how AI, machine learning, robotics, and intelligent automation shape the future of tax systems. Participants will gain a deep understanding of how these technologies influence tax collection, audit functions, decision-making, and fraud detection.

As tax ecosystems continue to digitize, the adoption of AI-enabled tax platforms becomes essential for agility and regulatory responsiveness. This training provides insights into operational models, implementation strategies, data governance, and capability development for integrating automation and next-generation technologies. By the end of the course, participants will be equipped to navigate the future of digital taxation, understand ethical considerations, and leverage AI to support smarter, more transparent tax administration.

Programme Curriculum

Tax – Impact of Artificial Intelligence & Automation Training Course

Introduction

Course Objectives

Understand the fundamentals of artificial intelligence and automation in taxation.
Analyze AI-driven trends transforming tax administration and compliance.
Evaluate machine learning applications for audit, risk scoring, and fraud detection.
Review automation tools and workflows supporting tax processing.
Assess data governance, privacy, and ethical considerations in AI-based tax systems.
Compare AI capabilities for taxpayer segmentation and behavioural analysis.
Explore predictive analytics and decision-support modelling for tax operations.
Examine chatbots, virtual assistants, and digital taxpayer service technologies.
Understand automation opportunities in corporate tax and revenue administration.
Assess AI readiness, infrastructure needs, and digital transformation maturity.
Apply criteria for procuring and implementing AI and automation solutions.
Evaluate risks, limitations, and regulatory challenges of AI in tax systems.
Develop strategic roadmaps for AI adoption and long-term tax modernization.

Organizational Benefits

Enhanced analytics capacity for informed decision-making
Improved audit accuracy and resource allocation
Reduced manual workload through automated tax processes
Strengthened fraud detection and risk scoring capabilities
Faster taxpayer service delivery via AI-driven tools
Lower operational costs and improved process efficiency
Increased transparency and consistency in decision-making
Strengthened compliance and reporting frameworks
Greater adaptability to regulatory and technological changes
Improved strategic planning with predictive modelling

Target Audiences

Tax administrators and revenue authority officials
Digital transformation leaders and innovation managers
Data scientists and analytics professionals
IT managers and system architects
Corporate tax managers and compliance officers
Policy analysts and regulatory specialists
AI and automation solution providers
Public sector technology and modernization units

Course Duration: 5 days

Course Modules

Module 1: Introduction to AI and Automation in Taxation

Overview of AI concepts and automation technologies
Evolution of AI adoption in global tax systems
Key drivers and benefits of AI-enabled tax functions
Digital transformation and the future of tax administration
Ethical, legal, and governance considerations
Case Study: Adoption of AI in a national tax authority

Module 2: Machine Learning Applications in Tax Administration

Understanding machine learning models and tax-related datasets
Predictive analytics for audit selection and risk scoring
Behavioural modelling for taxpayer segmentation
Supervised vs. unsupervised learning in tax operations
Performance evaluation and model transparency
Case Study: ML-driven audit selection model implementation

Module 3: Automation and Robotics for Tax Processes

Robotic Process Automation (RPA) for routine tax workflows
Automating data input, validation, and reporting
Enhancing back-office operations with intelligent automation
Workflow management and end-to-end automation
Integration with legacy systems and cloud platforms
Case Study: Automation of VAT refund processing using RPA

Module 4: AI for Fraud Detection and Risk Management

AI techniques for anomaly detection and behavioural risk scoring
Identifying fraudulent patterns using advanced analytics
Integration of external datasets for risk modelling
Real-time monitoring through AI-enabled dashboards
Data privacy and security in AI-based risk detection
Case Study: AI-powered fraud detection in income tax payments

Module 5: AI in Taxpayer Services and Communication

AI-driven chatbots and virtual assistants for taxpayer engagement
Natural language processing for automated responses
Personalized taxpayer communication and support
Enhancing accessibility and service efficiency with automation
Managing service quality and system limitations
Case Study: Deployment of an AI-based taxpayer support assistant

Module 6: AI in Corporate Tax and Compliance Functions

Corporate tax automation and workflow optimization
Analytics-driven compliance and reporting solutions
AI tools for transfer pricing documentation and analysis
Managing global tax data and multi-jurisdictional reporting
Risk monitoring and audit readiness through AI
Case Study: AI-enabled corporate tax compliance transformation

Module 7: Implementation, Procurement and Governance

AI readiness assessment and capability development
Vendor selection, solution evaluation, and procurement strategies
Governance frameworks for responsible AI adoption
Managing change, capacity building, and user adoption
Monitoring and evaluating AI performance and impact
Case Study: Governance framework for a national AI tax project

Module 8: Future Trends and Strategic Roadmap Development

Emerging technologies influencing next-generation tax systems
AI convergence with blockchain, cloud, and intelligent automation
Designing long-term modernization strategies
Ensuring sustainability and continuous improvement
Aligning AI adoption with national digital transformation agendas
Case Study: Roadmap for AI-driven digital tax modernization

Training Methodology

Interactive presentations and expert-led discussions
Hands-on demonstrations of AI and automation tools
Group work and collaborative scenario analysis
Case study review and best-practice benchmarking
Practical exercises using AI concepts in tax contexts
Action planning and knowledge assessments

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000