Course : AI and corporate finance

Impacts and challenges

Practical course - 1d - 7h00 - Ref. FIG
Price : 800 € E.T.

AI and corporate finance

Impacts and challenges



Predictive analysis, fraud detection and the automation of certain accounting tasks are just a few examples of what artificial intelligence (AI) can achieve in the field of finance. This practical course is an opportunity to clearly identify the stakes and impacts of this revolution.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. FIG
  1d - 7h00
800 € E.T.




Predictive analysis, fraud detection and the automation of certain accounting tasks are just a few examples of what artificial intelligence (AI) can achieve in the field of finance. This practical course is an opportunity to clearly identify the stakes and impacts of this revolution.


Teaching objectives
At the end of the training, the participant will be able to:
Understand the benefits and challenges of using AI in a company's financial strategy
Support the implementation of AI-based solutions and tools within its finance department.
Learn about real-life applications of AI in corporate finance
Master the strategic impact of AI on the organization of the finance department and the jobs of the future

Intended audience
Executives, senior managers, executive committee members, administrative and financial directors, management controllers, project managers, analysts and project management business experts.

Prerequisites
No special knowledge required.

Practical details
Case study
This seminar is based on the presentation of numerous use cases and concrete examples of application.

Course schedule

1
Smart data in corporate finance

  • Understand how AI works globally.
  • Identify the strategic and operational impacts of AI on the company.
  • Identify the specifics and functioning of an AI-based project.
  • Demystify machine learning algorithms: supervised and unsupervised algorithms, neural networks.
  • Identify internal and external data sources (statements, invoices, etc.).
  • Measure the challenges of data and its regulations (RGPD...).
  • Leverage data with AI tools to extract more information.

2
Optimize cash flow and anticipate accounting management with AI

  • Cashflow prediction and optimization.
  • Analyze customer/supplier risks.
  • Automating tasks with RPA (robotic process automation).
  • Predictive reserve management.
Case study
Presentation of different use cases and discussion.

3
The impact of AI on financial performance indicators

  • Integrate the forecasting of variances on intermediate management balances and financial indicators (EBITDA, WCR, etc.).
  • Integrate AI data into your financial dashboad.
  • Create scenarios to facilitate decision-making.
Case study
Presentation of different use cases and discussion.

4
AI, a factor in enriching professions.

  • Supporting the transformation of finance professions thanks to AI.
  • Optimize resources for decision-making and customer relations by automating tasks.
  • Outlook: data in the near future.
  • Outlook: the need to take account of the [[Green IT]] dimension in AI projects.
Case study
Presentation of different use cases and discussion.


Customer reviews
3,8 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
PAUL H.
12/12/25
3 / 5

Très mauvaise qualité de connexion de l’animateur
PASCAL M.
12/12/25
5 / 5

Participatif à l’animation, échanges simples et réponses sur tous les sujets abordés
JEREMY P.
13/06/25
4 / 5

very interesting



Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2026 : 24 Mar., 8 June, 22 Sep., 18 Dec.

PARIS LA DÉFENSE
2026 : 17 Mar., 1 June, 15 Sep., 11 Dec.