| REF: | 121812_1078920 |
| DATE: | 14 - 18 Jun 2027 |
| LOCATION: | Paris (France) |
| INDIVIDUAL FEE: | 6900 Euro |
This session: 14–18 Jun 2027
This Corporate AI for Accounting & Auditing Solutions session in Paris (France) runs from Monday 14 June to Friday 18 June 2027 (week 24, Q2 2027). It is the only date in Paris (France) in 2027, at a fee of 6,900 €. Registration is open for this date. It is held in person.
| Dates | Monday 14 Jun – Friday 18 Jun 2027 |
|---|---|
| Week | 24 of 2027 |
| Duration | 5 days |
| Fee | 6,900 € |
| Status | Open for registration |
| Format | In person |
Introduction
The Corporate AI for Accounting & Auditing Solutions course introduces the ways in which artificial intelligence is transforming accounting and auditing. It explores AI applications that improve financial accuracy, automation, and decision-making. Participants examine intelligent analytics, machine learning, and digital finance processes. The course explains AI's role in risk management, fraud detection, compliance, and internal controls. It also covers AI-powered financial reporting, audit planning, and digital transformation. Participants will understand key AI concepts for modern accounting and auditing.
Targeted Groups
This Corporate AI for Accounting & Auditing Solutions training targets professionals seeking knowledge and skills:
- Accounting professionals.
- Internal and external auditors.
- Financial controllers.
- Finance managers.
- Chief financial officers.
- Risk management specialists.
- Compliance officers.
- Corporate governance professionals.
- Financial analysts.
- Digital transformation leaders.
- ERP and finance system specialists.
- Business intelligence professionals.
- AI strategy managers.
- Finance consultants.
- Professionals responsible for financial reporting.
Course Objectives
Participants will achieve the following objectives by completing the Corporate AI for Accounting & Auditing Solutions course:
- Understand AI concepts in corporate finance.
- Examine AI applications in accounting.
- Explore AI-powered auditing practices.
- Evaluate intelligent financial reporting methods.
- Understand machine learning fundamentals.
- Analyze automated accounting workflows.
- Improve financial data analysis capabilities.
- Examine AI-based fraud detection techniques.
- Evaluate financial risk assessment models.
- Understand AI governance principles.
- Analyze regulatory compliance requirements.
- Explore predictive financial analytics.
- Strengthen internal control evaluation.
- Understand intelligent decision-support systems.
- Examine AI ethics in finance.
- Improve audit planning methodologies.
- Evaluate automation opportunities.
- Support strategic financial transformation.
Targeted Competencies
Participants will gain the following competencies during the Corporate AI for Accounting & Auditing Solutions program:
- AI-driven accounting knowledge.
- Intelligent auditing concepts.
- Financial analytics interpretation.
- Risk assessment techniques.
- Fraud detection awareness.
- AI governance understanding.
- Compliance evaluation skills.
- Internal control analysis.
- Financial reporting improvement.
- Predictive analytics interpretation.
- Corporate decision support.
- Digital finance transformation awareness.
- AI strategy evaluation.
- Accounting automation understanding.
- Ethical AI application.
Studying Scenarios
In this Corporate AI for Accounting & Auditing Solutions training, participants develop skills through the following scenarios:
- Evaluating AI implementation within a corporate accounting department.
- Analyzing automated financial reporting for executive decision-making.
- Assessing AI-assisted internal audit planning and execution.
- Examining fraud detection using intelligent financial analytics.
- Reviewing AI-supported compliance monitoring and regulatory reporting.
- Studying predictive financial analysis for budgeting and forecasting.
- Evaluating governance practices for AI-powered financial operations.
Course Content
Unit 1: Foundations of Artificial Intelligence in Corporate Accounting
- Understanding artificial intelligence concepts within finance.
- Exploring digital transformation in accounting operations.
- Examining AI technologies used in corporate finance.
- Understanding intelligent accounting automation principles.
- Reviewing AI adoption strategies for finance departments.
- Evaluating business value created by AI integration.
Unit 2: AI Applications in Accounting Processes
- Understanding automated bookkeeping concepts.
- Exploring intelligent accounts payable and receivable processes.
- Examining AI-supported financial reporting techniques.
- Understanding predictive financial analysis principles.
- Reviewing AI applications in budgeting and forecasting.
- Evaluating financial statement accuracy through automation.
Unit 3: AI for Modern Auditing and Risk Management
- Understanding AI-supported audit methodologies.
- Exploring continuous auditing concepts.
- Examining intelligent risk assessment techniques.
- Understanding fraud detection through AI analytics.
- Reviewing anomaly detection in financial transactions.
- Evaluating AI support for audit evidence analysis.
Unit 4: Governance, Compliance, and Ethical AI
- Understanding AI governance frameworks.
- Examining compliance requirements for AI systems.
- Reviewing regulatory expectations in financial reporting.
- Understanding ethical considerations in AI applications.
- Evaluating transparency and accountability principles.
- Exploring data privacy within financial AI environments.
Unit 5: Corporate AI Strategy for Finance Functions
- Understanding AI implementation planning.
- Examining finance transformation strategies.
- Reviewing AI-enabled performance measurement.
- Exploring intelligent decision-support systems.
- Understanding future trends in AI for accounting and auditing.
- Evaluating organizational readiness for AI adoption.
Final Insights & Key Takeaways
Artificial intelligence enhances accounting and auditing by improving accuracy, efficiency, compliance, and decision-making. Professionals gain the knowledge to support AI-driven financial transformation and modern finance operations.
