Generative AI within the intranet
: Definitions, Use cases and tools

Artificial Intelligence (AI) has seen a significant surge around the 2020s, with notable innovations such as Dall-e, Midjourney, and particularly ChatGPT. For organizations, AI tools serve as crucial drivers of performance and competitiveness. Across IT departments, financial divisions, HR, customer services, as well as marketing and communication departments, the transformation is already underway.

Would you like to leverage the opportunities presented by AI too? In this article, Mozzaik provides you with the keys to understand the ins and outs of artificial intelligence and prepare your structure to embrace this change under the best conditions. Enjoy your reading!

Artificial Intelligence: Definition and History

Artificial intelligence is a concept more than 70 years old. Presentation.

What is Artificial Intelligence? Definition.

The concept of artificial intelligence, or AI, refers to various tools that utilize calculation algorithms to imitate or simulate human intelligence. In other words, AI is a computer program that leverages data to automatically perform tasks such as solving an equation, creating an illustration, or writing text.

Brief History of Artificial Intelligence

The idea of artificial intelligence emerged in the 1950s when British mathematician Alan Turing explored the capacity of machines to replicate human intelligence. Turing devised a test, the "Turing test," to measure an AI's ability to simulate human intelligence during a conversation. The term "artificial intelligence" is attributed to American mathematician and computer scientist John McCarthy in 1955. Throughout the latter half of the 20th century, AI research projects continued with varying success. In 1997, IBM's Deep Blue computer, specialized in chess, notably defeated world champion Garry Kasparov, marking a significant milestone.

The 2010s witnessed major developments in AI with the rise of Machine Learning and Deep Learning based on artificial neural networks. AI also entered daily life with speech recognition, personalized search engines, autonomous vehicles, automatic translation, and Deepfakes (videos altered using AI).

The 2020s mark a turning point in the history of artificial intelligence. The general public gains access to technology through tools like generative image AIs Dall-e, Stable Diffusion, and Midjourney. Particularly, at the end of 2022, the American company OpenAI introduced a conversational agent based on AI: ChatGPT. In just two months, this chatbot reached 100 million active monthly users, making it the fastest-growing application in history. Professionals and individuals now use ChatGPT to find answers to their questions, brainstorm, summarize texts, translate documents, or even write product descriptions, letters, or social media posts.

Following ChatGPT, generative AI tools proliferate with diverse use cases: writing assistance, visual content creation, photo and video editing, chatbot creation, presentation generation, music and voiceover generation, and more.

AI integrated into Digital Workplace

Various Types of Artificial Intelligence

Researchers identify two main types or stages of AI:

1. Narrow Artificial Intelligence (ANI): Also known as "Weak AI," ANI is trained to perform specific tasks but lacks reasoning or self-awareness. Most current AIs, including ChatGPT, Apple's virtual assistant Siri, Google's search engine, and business function optimization software, fall under ANI.

2. Strong Artificial Intelligence (Strong AI): Strong AI encompasses two categories that do not yet exist: Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). AGI would possess intelligence and consciousness equivalent to a human, while ASI represents the ultimate stage where AI surpasses human intelligence. AGI and especially ASI are current concerns for AI researchers, NGOs, and governments calling for preventive regulation.

Business Opportunities and Challenges Associated with Artificial Intelligence

New tools based on artificial intelligence have the potential to bring numerous benefits to businesses. However, this technology also comes with risks that need to be anticipated.

Business Opportunities Offered by Artificial Intelligence

According to KPMG's Global Technology Report 2023, artificial intelligence is "the most important technology to help businesses achieve their goals in the coming years." Here's why:

  • Productivity Enhancement: Artificial intelligence serves as a lever to increase productivity by automating repetitive tasks. It helps employees execute their core tasks more efficiently, such as risk management, predictive analysis, and marketing campaign design. Additionally, it enables decision-makers to make more informed decisions.
  • Improved Employee Experience: AI is a vector for enhancing the employee experience. Employees are relieved of their most tedious tasks, easily carry out complex activities, save time when searching for knowledge, receive quickly clear and personalized information about HR processes, and access training tailored to their individual needs.
  • Valuable Ally for Customer Knowledge: AI is a valuable ally for optimizing customer knowledge, providing a better customer experience, increasing consumer satisfaction, and building customer loyalty. Customer expectations regarding products, services, or marketing actions are better understood by teams, allowing them to refine offerings and communication. Thanks to customer relationship Chatbots and Voicebots, buyers can also benefit from rapid and personalized customer service without overburdening sales teams.

Challenges Related to the Adoption of Artificial Intelligence in Business

While artificial intelligence enhances operational efficiency and overall organizational performance, it is not without risks. There are significant challenges associated with AI adoption:

  • Bias and Ethical Issues: AIs can reproduce or exacerbate biases, make mistakes, or raise ethical issues, especially when the algorithm is based on a skewed basic assumption, incorrect criteria, or trained on a non-representative database. Amazon, for example, experienced biased AI with its discriminatory recruitment software (now discontinued).
  • Opaque Functioning: The opaque functioning of AIs, as highlighted by Deloitte consulting, puts companies in a position of dependence on third parties. This lack of transparency also raises questions about the protection of confidential data, trade secrets, personal data of employees and customers, and copyright.
  • Impact on Employment: The adoption of AI tools by organizations is expected to disrupt human aspects. According to investment bank Goldman Sachs, up to 300 million jobs worldwide are expected to be automated. Europe and the United States are particularly affected, with two-thirds of jobs exposed to automation in these regions. Conversely, as emphasized by Deloitte again, companies will need to train or hire employees to acquire (still scarce) skills related to the implementation, testing, and management of AI tools.

How to Prepare for the Arrival of AI in Business?

To fully leverage artificial intelligence, reduce associated risks, and make it a true competitive advantage, organizations must prepare for the arrival of the technology within their structure. In this regard, two paths must be explored:

Training Employees in Artificial Intelligence

The arrival of artificial intelligence in businesses will transform working methods, disrupt the job market, and raise security and recruitment issues. To facilitate change and guard against risks associated with AI adoption, it is essential to train your teams in using the technology and raise awareness of the opportunities and risks associated with it (confidential data protection, algorithmic biases, legal risks, etc.).

According to an Ifop-Talan survey published in May 2023, "68% of French people who use generative AIs in the workplace hide it from their hierarchical superior." To avoid such abuses, it is necessary to establish a policy on the use of AI and the protection of sensitive data, even if you have not yet adopted this technology. The need is real, as the same source indicates, "72% of French people feel they do not have sufficient knowledge to use generative AIs."

Structuring Company Data

To deploy an AI project, it is possible to use external and/or internal data, i.e., information produced and stored by the company (customer lists, contracts, sales reporting, etc.). For these data to be exploitable by artificial intelligence, they must undergo preliminary processing.

In summary, to make raw data exploitable by AI, several operations must be performed:

  • Data Cleaning: Removing or correcting false or incomplete data to obtain a reliable (representative) database for training artificial intelligence.
  • Data Structuring: Organizing data according to a specific format suitable for the type of data and algorithmic constraints to allow AI to process them more easily.
  • Data Annotation: Marking or labeling data using metadata to enable machine learning algorithms to understand and process them effectively.

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The Role of AI in the Digital Workplace

The Digital Workplace already incorporates artificial intelligence, aiming to enhance productivity, improve employee experience, optimize collaborative work, and streamline internal communication. Let's explore the main use cases of AI in the Digital Workplace environment.

Content Creation or Generation

AI functions integrated into modern intranets first enable the creation of content either entirely or partially automated. For instance, the tool Microsoft Copilot, developed based on ChatGPT and integrated into the Microsoft365 ecosystem, allows faster email writing or presentation creation. The tool analyzes the context and provides real-time suggestions of sentences or entire paragraphs to users.

Personal Research Assistant

In the Digital Workplace, AI also acts as a personal research assistant. It helps employees quickly find information needed for their tasks and navigate smoothly within the company (HR information, internal events, etc.). With the conversational agent ChatGPT integrated into Microsoft Teams messaging, employees can ask questions and instantly receive natural language responses based on internal knowledge.

Data Processing

Lastly, AI can be used to synthesize, summarize, or explain complex documents such as scientific studies, technical manuals, or conferences. For example, ChatGPT integrated into Microsoft Teams allows the generation of meeting summaries and task recommendations.

AI functions integrated into the Digital Workplace also organize data and make knowledge more accessible. Knowledge management tool Viva Topics, integrated into the Microsoft365 environment, uses AI to identify relevant information among organizational resources (documents, conversations, websites, enterprise systems, etc.) and map them. This accelerates information retrieval and promotes the discovery of new knowledge through automatic suggestions during conversations or document creation.

Gen AI within the intranet

Other Use Cases of AI

The applications of artificial intelligence extend beyond the Digital Workplace. Businesses and their employees can use AI for:

Code Generation

Generative AI automates the writing of code, saving time and boosting productivity for software developers. Users formulate requests in natural language, and AI automatically generates the corresponding code.

Document Proofreading

AI enhances the efficiency of traditional proofreading tools by analyzing style, tone, and readability of text, making suggestions to improve clarity, conciseness, and overall readability.

Document Analysis

AI simplifies the analysis and exploitation of long and/or complex documents such as laws, studies, reports, or technical documentation. Some AI-based tools extract important information, generate concise summaries, and even engage in dialogue with the content by asking questions, facilitating understanding and access to desired information without reading the entire document.

Customer Support

AI can improve customer service through conversational robots like Chatbots and Voicebots, assisting buyers during online purchases or addressing post-purchase issues. Trained on representative data, AI provides more precise and personalized responses, enhancing customer experience and optimizing employee experience and team productivity.

Generative AI tools you absolutely need to know

If this new generative artificial intelligence technology interests you, we invite you to test some of the best tools on the market. Here is a list of our favorite solutions:


According to Andreessen Horowitz, ChatGPT is the most used generative AI tool in 2023 and the 24th most visited website globally. It serves as a Chatbot capable of answering questions in natural language, writing texts, or designing advertising campaigns based on a natural language prompt.

Ranked second by Andreessen Horowitz in 2023, is a generative AI tool popular among young people (18-24 years old). It's an entertaining Chatbot allowing users to create characters (Socrates, AI version of Elon Musk, a psychologist, or a manga character) and engage in conversations with them.

Ranked fourth in popularity in 2023, Poe is a platform that provides access to various AI Chatbots, including ChatGPT and DALL-E, from a single entry point. Poe also allows the creation of personalized Chatbots from a prompt without programming knowledge.


Jasper is an AI-based writing assistant for marketing teams, helping companies produce marketing content such as social media posts, commercial emails, or sales pages more quickly while maintaining the organization's tone.

Dall-E and Midjourney:

Dall-E and Midjourney are two image generators, designed respectively by OpenAI and the independent research laboratory Midjourney. They utilize ChatGPT and Discord, allowing users to create visuals in various styles based on descriptive textual indications.

Key Takeaways on Artificial Intelligence:

Artificial intelligence has experienced significant growth in recent years, finding practical use cases among the general public and businesses. AI tools are essential for organizational performance and competitiveness, improving customer experience, increasing productivity, and optimizing employee experience.

However, adopting this technology also comes with risks such as data security and skill shortages. To fully benefit from AI in business, it is mandatory to prepare for its deployment as soon as possible. This involves training employees and preparing the IT infrastructure to accommodate AI.



Generative Artificial Intelligence within the Corporate Intranet

What is the difference between AI and Generative AI?

Classic AI (Artificial Intelligence) focuses on aiding decision-making, task automation, and data generation.

Generative AI involves creating new content (text, images, or other) based on models it has learned during its training phase.

Learn more

What is the best Generative AI?

The most well-known and widely used Generative AI is from the company OpenAI. The American firm offers several tools, among the most renowned are ChatGPT and DALL-E.

What is the main characteristic of Generative AI?

Its main characteristic is to create original content based on the context you provide, all autonomously (text, images, sound).

How can Generative AI help businesses?

Generative AI can support your business in three main areas:

  • Increased productivity,
  • Improved employee experience,
  • Optimization of your growth.

To learn more, click here.