AI for Taxation and Regulatory Compliance
NLP, ML, RPA, and Adaptive Analytics for Tax Compliance and Advisory
About This Course
Course Information
This course explores how artificial intelligence can enhance tax preparation, planning and compliance. Discuss using AI for tasks such as automating tax return filing, analysing regulations to identify key issues, gaining efficiencies in taxpayer services, and monitoring compliance risks. Consider both the opportunities and limitations of AI for taxation, given the complexity of tax codes and the need for professional human judgment. Learn strategies and tools for applying supervised ML, NLP and other techniques to your organisation’s tax function.
Certificate on Completion
This course is made up of videos, questions and additional reading materials and accounts for 3 units of CPD. One unit is the equivalent of one hour of learning. A certificate will be issued once you have completed all 3 units. Each unit represents one hour of learning.
Course Sections
This course is made up of the following sections:
- AI for Taxation and Regulatory Compliance (Multiple Videos)
- Quizzes and short assessments (Quiz)
- Additional reading materials on AI for Taxation and Regulatory Compliance
- Course completion survey
- CPD Certificate issued once the course is completed
What You Will Learn
- Describe how NLP tools can automate tax return preparation, from matching accounting heads to return sections to classifying expenses as allowable or disallowed
- Explain the three types of AI application for taxation (sense, think, act) and identify which techniques apply to each, including NLP for sensing and RPA for acting
- Distinguish between the five levels of analytics covered in the course: descriptive, diagnostic, predictive, prescriptive, and adaptive
- Identify four real-time monitoring tasks that AI can perform for tax compliance, including analysis of policies, controls, transactions, and expenses
- Evaluate the four-stage framework for developing an AI taxation system: strategic, design, developing, and operating stages
- Assess the challenges of deploying AI in tax environments, including data quality risks, privacy concerns, algorithm bias, and the continued need for human oversight
- Apply the four-step adaptive analytics process for tax planning: define the problem, analyse variables, predict outcomes, and determine the most practical solution
Who This Course Is For
- Tax professionals who want to understand how NLP, ML, and RPA can be applied to tax return preparation and compliance monitoring
- Accountants and finance professionals responsible for tax planning who want to learn about predictive and adaptive analytics for optimising tax positions
- IT and data professionals working with tax teams who need to understand the four-stage AI implementation framework and partnership requirements between technical and subject-matter experts
- Auditors interested in how AI changes tax monitoring, from periodic sampling to continuous real-time analysis of transactions and controls
Prerequisites
- A working understanding of tax return preparation, including concepts like allowable and disallowed expenses, taxable profits, and withholding taxes
- Basic familiarity with AI terminology such as machine learning and natural language processing (the course explains these in a taxation context, but prior exposure helps)
- No programming or technical skills are required
Frequently Asked Questions
Course Details
Pricing
Invest in your professional development with flexible payment options.
Everything included in your subscription:
Ready to Start Learning?
Join thousands of finance professionals who have advanced their careers with Learnsignal CPD courses.
Enrol Now