Course : AI in Accounting: Automating the Closing Process and Ensuring Reliable ControlsLeveraging Artificial Intelligence to Secure Accounting Processes and Boost Productivity
Practical course - 2d
- 14h00 - Ref. ICC
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 | Identify relevant use cases for AI in accounting processes |
| Automate closing and reconciliation tasks using AI tools |
| Analyze and ensure the reliability of accounting data using intelligent tools |
| Implement automated and documented controls that comply with audit requirements |
| Assessing Productivity Gains and Ensuring the Safe Use of AI in an Accounting Environment |
Intended audience
Accountants, chief accountants, finance managers, management controllers, internal auditors, and staff in administrative and finance departments who wish to integrate AI into their practices.
Prerequisites
Basic knowledge of prompt writing or completion of the PEI training.
Practical details
Demonstrations of AI tools (ChatGPT, Copilot, ERP-integrated tools, Excel) Realistic accounting datasets for exercises Interactive sessions (in-person or remote) alternating between theory and practice
Course schedule
1 Understanding the Contributions of AI to Accounting
- Define the key concepts of artificial intelligence (machine learning, NLP, automation)
- Identify specific uses of AI in accounting and finance functions
- Map out the accounting processes that can be automated (month-end closing, review, and audit)
- Analyze the benefits and limitations of AI (reliability, traceability, risks)
- AI Act: Regulatory Requirements and AI Governance in the Accounting Field
Hands-on work
Group case study: Analysis of an existing closing process and identification of tasks that can be automated using AI.
2 Automating Month-End Closing Tasks with AI
- Identify the key steps in the closing process that can be automated
- Generate journal entries based on data from the ERP system
- Automate reconciliations (bank, intercompany, and subsidiary accounts) outside the ERP system
- Using AI assistants to generate closing remarks
- Structuring and Planning an AI-Enhanced Year-End Closing
Hands-on work
Pair exercise: Automating bank reconciliation using Excel data. Case study: Automated generation of a closing comment. Group debrief on the quality of the results.
3 Optimize Account Reconciliation with Smart Tools
- Structuring an AI-Assisted Approach to Account Reconciliation
- Using AI to Analyze Large Volumes of Accounting Data
- Identify anomalies and inconsistencies using analytical tools
- Improve traceability and documentation of supporting evidence
Hands-on work
Group workshop: Analyzing a large accounting dataset to identify anomalies and discrepancies using an AI tool or enhanced Excel.
4 Strengthening Accounting Controls and Compliance with AI
- Defining Key Controls in an Automated Accounting Environment
- Document controls for audit and compliance purposes (reliable audit trail)
- Incorporating Regulatory and Ethical Requirements into the Use of AI
Hands-on work
Case study in small groups: designing an automated control plan for a given process. Simulation: detecting anomalies in a dataset.
5 Boost Productivity with AI Assistants in Your Daily Life
- Using AI assistants to draft procedures and operating guidelines
- Automate the generation of accounting and financial reports
- Implement a continuous improvement process using AI
Hands-on work
Scenario: Drafting an accounting procedure using an AI assistant.
PARTICIPANTS
Accountants, chief accountants, finance managers, management controllers, internal auditors, and staff in administrative and finance departments who wish to integrate AI into their practices.
PREREQUISITES
Basic knowledge of prompt writing or completion of the PEI training.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Accountants, chief accountants, finance managers, management controllers, internal auditors, and staff in administrative and finance departments who wish to integrate AI into their practices.
PREREQUISITES
Basic knowledge of prompt writing or completion of the PEI training.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
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This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.