Skip to product information
AI in Accounting

AI in Accounting

Venue
Date
Training Course
£4,500.00
Choose your own preferred Date or Venue or Contact Us for more details

✅ Total Duration:

  • Regular: 5 Days × 4 Hours = 20 CPD Hours or
  • Intensive: 2.5 Days x 8 Hours = 20 CPD Hours
  • Delivery Format: In-person
  • Target Group: Mid to Senior level managers, team leads, HR professionals, project managers
  • Assessment: Active participation, group activities, capstone project
  • Certificate: CPD Certificate with learning outcomes and hours

Training Course on AI in Accounting

Overview

  • Introduction to Artificial Intelligence (AI) and its growing role in accounting and finance.
  • Exploration of AI technologies such as machine learning, natural language processing, robotic process automation, and generative AI.
  • Understanding how AI is transforming core accounting functions: data entry automation, fraud detection, financial forecasting, auditing, tax compliance, and client advisory.
  • Emphasis on the synergy between human judgement and AI capabilities, highlighting that AI augments rather than replaces accountants.
  • Contextualisation of AI’s impact on the accounting profession’s future and emerging business models.

Learning Objectives

  • Define key AI concepts and technologies relevant to accounting professionals.
  • Analyse how AI automates routine accounting tasks and enhances data accuracy.
  • Apply AI tools for financial analysis, budgeting, forecasting, and fraud detection.
  • Develop skills to integrate AI-driven insights into strategic decision-making and compliance.
  • Evaluate ethical, regulatory, and governance considerations in deploying AI solutions.
  • Gain practical experience with AI applications such as ChatGPT, predictive analytics, and AI-powered audit tools.
  • Prepare participants to lead AI adoption initiatives within their organisations.

Training Methodology

  • Interactive lectures introducing AI fundamentals and accounting applications.
  • Hands-on workshops using AI tools (e.g., ChatGPT, AI analytics platforms, automation software).
  • Case studies showcasing real-world AI implementations in accounting firms and finance departments.
  • Group discussions on ethical challenges, regulatory compliance, and AI governance.
  • Scenario-based exercises simulating AI-driven financial forecasting, fraud detection, and audit processes.
  • Continuous assessment through quizzes and practical assignments to reinforce learning.
  • Access to curated AI resources and ongoing support for post-training application.

Organisational and Personal Impact

  • Organisations will achieve enhanced operational efficiency by automating repetitive tasks, reducing errors, and accelerating reporting cycles.
  • Improved financial decision-making through AI-powered predictive analytics and real-time data insights.
  • Strengthened compliance and fraud prevention capabilities via continuous AI monitoring.
  • Empowered teams with advanced AI skills, fostering innovation and competitive advantage.
  • Individuals will gain cutting-edge expertise, increasing their professional value and career advancement opportunities.
  • Participants will build confidence in ethical AI use and strategic integration aligned with business goals.
  • Cultivation of a forward-thinking culture embracing digital transformation in accounting.

Target Audience

  • Certified Public Accountants (CPAs), Chartered Accountants, and Management Accountants.
  • Financial Analysts, Controllers, and Audit Professionals.
  • Accounting Managers and Finance Directors seeking AI-driven efficiencies.
  • Tax professionals interested in AI applications for compliance and planning.
  • Technology consultants specialising in finance and accounting systems.
  • Professionals aiming to lead AI adoption and digital transformation in accounting functions.

Course Outline

Day 1: Foundations of AI in Accounting

  • Introduction to AI: Definitions, history, and core technologies (ML, NLP, RPA).
  • Overview of AI’s impact on accounting roles and workflows.
  • Case study: AI automating invoice processing and data entry.

Day 2: AI for Financial Data Management and Analysis

  • Automating data categorisation and enhancing accuracy.
  • AI-driven financial reporting and anomaly detection.
  • Hands-on: Using AI tools for data validation and reconciliation.

Day 3: AI in Auditing, Compliance, and Fraud Detection

  • Continuous auditing and real-time compliance monitoring.
  • AI techniques for fraud detection and risk assessment.
  • Workshop: Simulating AI-powered audit scenarios.

Day 4: AI in Taxation and Strategic Financial Planning

  • AI applications in tax preparation, planning, and compliance.
  • Predictive analytics for budgeting and forecasting.
  • Scenario planning and risk management with AI insights.

Day 5: AI for Decision Support and Client Advisory

  • Leveraging AI for strategic decision-making and capital allocation.
  • Personalising client advisory services using AI-driven insights.
  • Ethical considerations, governance, and future trends in AI accounting.
  • Final group project presentations and course wrap-up.

Conclusion

  • Recap of AI’s transformative potential in accounting and finance.
  • Encouragement to embrace AI as a tool for innovation, efficiency, and enhanced decision-making.
  • Call to action: Apply learned AI skills to drive organisational growth and personal career advancement.
  • Highlight ongoing learning opportunities and resources to stay ahead in the evolving AI-accounting landscape.
  • Inspire participants to become champions of ethical, responsible AI adoption in their professional environments.

Courses Categories
Leadership and Management

Leadership and Management

You may also like