AiCoaching: The Complete Training and Coaching Platform Powered by Artificial Intelligence

1. Introduction: Redefining Corporate Learning

We are living in a time of unprecedented transformation. The global professional landscape is constantly changing, reshaped by rapid technological advances and the continuous emergence of new, essential skills. In this hyper-dynamic context, an organization's ability to adapt, innovate, and rapidly develop the talents of its employees is no longer a competitive advantage, but a sine qua non for survival and prosperity. Continuing education is thus becoming the backbone of corporate strategy. Yet, it is clear that traditional training approaches struggle to meet this major challenge. Often passive, generic, disconnected from immediate operational realities, costly, and whose real impact remains difficult to quantify, they frequently fail to truly engage learners and translate acquired knowledge into mastered and applied skills.

It is precisely to overcome these obstacles thatAiCoaching was created. Much more than a simple technological update, AiCoaching represents a revolution in the design and deployment of corporate training and coaching. By intelligently harnessing the power of the most advanced artificial intelligence (AI), we deliver a comprehensive and integrated learning ecosystem, designed to deliver experiences radically personalized, deeply interactive and objectively measurable.

Imagine being able to immerse your employees in ultra-realistic simulations, where they interact by text or voice with Virtual Personas intelligent. These avatars, meticulously configured to embody clients, managers, or any other key interlocutor, react with striking nuance and relevance. In this immersive and secure environment – a true “flight simulator” for behavioral and business skills – your teams can practice without risk, test different approaches, receive instant and targeted feedback, and thus master crucial skills such as negotiation, leadership, conflict management, or customer communication. AiCoaching transforms learning from a passive transmission of information into a active and contextualized acquisition of know-how. No more “one-size-fits-all”; make way for tailor-made development that accelerates skills development and maximizes engagement.

AiCoaching isn't just a tool; it's a strategic partner that empowers you to build an agile and high-performing learning culture, optimize your training investments, and concretely measure their return on investment. This document will reveal how AiCoaching, thanks to its innovative features and flexibility, is poised to redefine the standards of professional development. Read on to discover how we can help you prepare your teams for the challenges of today and tomorrow.

2. Vision and Objectives

Our Ambition: To Become Your Strategic Partner for Skills Growth

AiCoaching's vision is clear: to establish itself as the essential reference partner for companies committed to placing human capital at the center of their success. We aspire to catalyze a profound transformation of professional learning by enabling each organization to:

• Develop skills of his collaborators with a surgical precision and measurable effectiveness, by perfectly aligning training with strategic objectives.
• Establish a dynamic culture of continuous learning, where personal and professional development is valued, encouraged and integrated into daily life.
• Radically optimize training processes, by streamlining resources, reducing unnecessary costs and maximizing return on investment.
• Reliably measure real impact training initiatives on individual and collective performance, moving from subjective assessment to factual analysis.
• Deliver a deeply engaging and motivating learning experience, which generates enthusiasm, promotes the anchoring of know-how and stimulates proactivity.

The Fundamental Pillar: Virtual Personas, Intelligent Interaction at the Service of Learning

To realize this ambitious vision, AiCoaching relies on a central technological pillar: Virtual PersonasThese conversational agents, powered by artificial intelligence, are much more than simple chatbots. They constitute the beating heart of our platform, capable of simulating complex human interactions with a striking degree of realism and nuance. They are the key to unlocking truly active and immersive learning.

• Advanced Personalization for Relevance: The power of AiCoaching lies in its ability to shape these virtual personas with unparalleled precision. Each persona can be meticulously configured to embody:
  • Of the specific professional roles (caring manager, demanding client, seasoned negotiator, new recruit, etc.).
  • Of the distinct behaviors and personality traits (analytical, empathetic, directive, creative, etc.).
  • Of the varying levels of expertise, to adapt the difficulty.
  • Of the unique communication styles, reflecting the diversity of real interactions.
    This extensive customization ensures that simulations are perfectly aligned with business contexts and targeted educational objectives.
• Cutting-Edge Technological Flexibility: To animate these personas and ensure fluid and intelligent interactions, AiCoaching integrates a rigorous selection of the best AI and voice technologies on the market, offering unique flexibility:
  • Language AI Models (LLM): We support a diverse range of cutting-edge models, allowing businesses to choose the technology best suited to their specific needs in terms of performance, specialization or sovereignty:
    • Mistral: European model recognized for its effectiveness.
    • DeepSeek: Specializing in the fine understanding of language.
    • OpenAI & Azure OpenAI: Widely proven reference models.
    • Gemini (Google): Advanced multimodal capabilities.
  • Immersive Voice Technologies: For natural and responsive oral interactions:
    • ElevenLabs: Ultra-realistic, ultra-low latency speech synthesis, capable of voice cloning for increased immersion.
    • OpenAI Realtime Audio: Enables smooth, real-time voice exchanges, essential for practicing oral communication.
• Data Control and Security: Aware of confidentiality issues, we offer flexible hosting:
  • Cloud: Simplified use of vendor-hosted templates.
  • Local (On-Premise): Ability to host AI models directly on the company's servers, ensuring maximum control and absolute confidentiality of the data exchanged.

Virtual Personas are therefore not just a feature, but the foundation upon which the entire AiCoaching experience is built. They are the engine that enables us to move from theoretical training to deliberate and effective practice, aligned with our vision of transformative learning. The following chapters will detail how these personas (interlocutors) are integrated into missions and scenarios to create a complete learning ecosystem.

3. Mission Design: Specific and Relevant Learning Objectives

Missions define the specific learning objectives that learners must achieve during interactive scenarios.

• Complete Customization : The missions are fully adaptable:
  • To the specific needs of the company, team or individual.
  • Targeted skills (negotiation, conflict management, public speaking, etc.).
  • At the desired difficulty levels.
• Clear Success Criteria : Each mission is accompanied by precise success criteria, allowing an objective assessment of the learner's progress.
• External Content Integration (RAG) :
  • Thanks to RAG (Retrieval-Augmented Generation) technology, missions can be enriched with company-specific documents (procedures, case studies, presentations).
  • This will help contextualize learning and make it even more relevant for learners.

3. Interactive Scenarios: Immersion for Effective Learning

Scenarios are the heart of the AiCoaching experience. They combine virtual personas and missions to create interactive and immersive simulations.

• Multiple Interaction Modes :
  • Text Chat : Learners interact with personas in writing, via an intuitive chat interface.
  • Voice Interactions : Learners can interact orally with personas, thanks to advanced integration of audio technologies.
• Advanced Audio Management :
  • OpenAI Real-Time API
• ElevenLabs APINatural Interactions: ElevenLabs APIs are able to clone voices from a single recording sample.
  • These technologies ensure exceptional fluidity and realism in voice interactions, thanks to:
    • Instant speech-to-text transcription (OpenAI).
    • Ultra-realistic, very low-latency speech synthesis (ElevenLabs).
    • Streaming processing (ElevenLabs) for maximum responsiveness.

4. Observers and Performance Analysis: Precise and Personalized Monitoring

AiCoaching's "Observers" module is an intelligent analysis system that tracks interactions between the learner and the personas in real time.

• Full Assessment : Observers evaluate:
  • The quality of the learner's responses.
  • Its ability to achieve mission objectives.
  • His use of targeted skills.
  • His communication style.
• Detailed Reports : Comprehensive reports are generated after each session, providing:
  • An overall performance score.
  • Personalized recommendations for improvement.
  • Specific areas of development.
• Visual Dashboards : Results are presented in the form of intuitive dashboards, with clear graphs and indicators, making it easy to monitor progress.

As part ofAiCoaching, THE real-time agents And non-real-time agents play complementary roles to optimize the learning experience and maximize the effectiveness of training.

THE real-time agents intervene directly during the conversation between the learner and the virtual personas. They act as interactive guides by sending short messages, immediate advice or brief notations to help the user adjust their response in real time. For example, they can signal that an argument is unclear, suggest a rephrasing or indicate whether the learner is adopting an appropriate tone in a business exchange. Their role is toguide the learner without interrupting their immersion, by providing him with instant indicators which help him improve as the conversation progresses.

THE non-real-time agents, on the other hand, are requested after the session to generate a detailed report of the observant coach. They analyze the entire conversation in depth, evaluating elements such as the relevance of the responses, the coherence of the dialogue, the achievement of the mission objectives and the communication style adopted. These agents produce a structured report, including a overall performance score, of the specific recommendations and areas for improvement enabling targeted and efficient progress. Unlike real-time agents that influence the current session, these non-real-time agents provide in-depth post-session analysis to provide a rich and strategic analytical feedback.

Thanks to this dual approach, AiCoaching combines real-time support and detailed post-analysis, guaranteeing both immediate guidance and personalized monitoring of the learner's progress.

5. Secure Scenario Sharing: Collaboration and Control

AiCoaching makes it easy to share scenarios with external users (collaborators, clients, partners), even if they do not have an account on the platform.

• Single-Use Links : Secure links are generated for each share.
• Security Settings : Administrators can define:
  • An expiration date for the link.
  • A maximum number of usable “tokens” (interaction units).
  • This allows precise control over access and use of shared content.

6. Training Course: Structuring Learning

Learning paths allow scenarios to be organized in a logical order, creating a coherent learning route for learners.

• Sequencing of Scenarios : Administrators can assemble multiple scenarios to create a complete journey.
• Progress Tracking : Dashboards allow you to track the progress of each learner within the course.
• Overall Rating : Performance across the entire course is consolidated, providing an overview of achievements.

7. Thematic Playlists: A Playful and Flexible Approach to Learning

A playlist is a grouping of scenarios to be carried out around the same theme. :

• Organized by skill or theme (e.g.: leadership, communication).
• Allow for targeted and immersive learning.

Built-in Replayability :

• Each scenario is replayable up to three times by default.
• Allows the learner to explore different approaches and improve.

Detailed tracking of attempts :

• Individual progression tracked.
• Results analyzed over multiple trials for enriched feedback.

8. LMS Integration (SCORM): Interoperability and Centralization (coming soon)

In order to ensure a harmonious integration of AiCoaching into the existing training ecosystem of our clients, compatibility with the SCORM standard (Sharable Content Object Reference Model) is a key feature under development.

SCORM is an internationally recognized technical standard that defines how digital learning content interacts with learning management systems (LMSs). Specifically, it allows a training resource, such as an AiCoaching scenario, to communicate essential information (such as progress, score, or time spent) to your primary LMS, regardless of the vendor. This future integration via SCORM will therefore guarantee transparent and standardized communication with the majority of LMS platforms on the market, thus facilitating the automatic centralization of data and the overall management of learner monitoring within your organization.

what SCORM brings: 

• SCORM compatibility for linking with existing LMS.
• Automatic centralization of progress and results data.

For seamless integration with existing Learning Management Systems (LMS), AiCoaching will soon be compatible with the SCORM standard.

• Interoperability : AiCoaching will be able to communicate with most LMS on the market.
• Data Centralization : Information about learners' progress and results will be automatically transmitted to the LMS.
• Simplified Management : This will facilitate overall training management and performance monitoring.

Thanks to this interoperability, Our clients will be able to freely integrate AiCoaching scenarios into their existing training courses., combining them with other content formats such as educational videos, interactive quizzes or text modulesThis modular approach allows for the creation of learning experiences richer, more engaging and more effective, capitalizing on the complementarity of the formats.

AiCoaching's AI-powered conversational simulations come as increase traditional routes, by injecting it simulated human interaction, contextual personalization and active practiceThe result: hybrid courses that not only transmit knowledge, but also enable to implement it, consolidate it and measure it concretely. This combination offers a unmatched educational value, aligning efficiency, engagement and return on investment.

9. Interlocutor, Mission, Observer, Scenario

To bring to life the interactive and personalized simulations that are the strength of AiCoaching, the platform relies on the intelligent assembly of several fundamental components. This chapter details these essential building blocks:Interlocutor (the virtual persona with whom the user communicates), the Assignment (which defines the context and objectives of the interaction), and theObserver (the AI agent that analyzes and evaluates performance). It is the combination of these elements within a Scenario which creates the complete learning experience.

Here we'll explore how each component is defined, its specific settings (including AI and voice options), and how they interact. An important feature to note is the dynamic use of logged-in user information (via variables/tags), allowing each scenario to personally address the learner and adapt the context in real time for maximum immersion. Understanding these elements is crucial for creating and deploying effective, tailored training with AiCoaching.

It's important to note that the system automatically uses the logged-in username via dynamic variables. This ensures that each scenario, including observer reports, is personally tailored to the learner, enhancing immersion.

1. Interlocutor

The identity of the interlocutor is composed of 

• Avatar: an image that can be uploaded
• Name of the contact person 
• Organization : name of the organization that created this contact
• occupation
• Description : his description as a person
• Profile: this will be the prompt that will be sent to the AI to generate its behavior. This prompt uses variables to make it dynamic in the scenario by assembling the mission and interlocutor parameters. 
• AI parameter associated with the interlocutor
  • the AI provider
  • the provider's AI model
• AI Voice Settings

2. Assignment

• Name: name of the mission 
• Organization  : name of the organization that created this contact 
• Assignment from the user: 
• Picture : an image that can be loaded that represents the mission to be carried out
• Mission of the interlocutor : the objective of the interlocutor variables in brackets (tag) can be used to create from this field the final prompt that will be sent to the AI. The mission can therefore be dynamically changed in the character according to the mission scenario that will be assigned to him. The launched scenario replaces the information in brackets with the values to be set linked to the interlocutor and its fields, the mission and its fields. 
• End condition : the optional condition of success or victory using variables [[WIN] And [[LOSE]] (see variable/tags chapter)

3. Observer

There are 2 types of observers

• Standard Observer : should generally be launched at the end of the scenario, they are rather verbose
• Real-time observer : intervenes in the discussion at a customizable frequency. It appears in the conversation with a different color. They generally provide rather brief information to avoid weighing down the conversation.

The identity of the observer is composed of 

• Avatar : an image that can be loaded
• Name of the contact person 
• Organization : name of the organization that created this contact

• Occupation
• choice whether real-time observer or not

• Description : his description as a person
• Profile: this will be the prompt that will be sent to the AI to generate its behavior. This prompt uses variables to dynamically create it when used. it uses the variable [[dialog]] to recover the dialogue of the exchanges between the interlocutor and the user

• AI parameter associated with the interlocutor
  • the AI provider
  • the provider's AI model
• AI Voice Settings

4. Scenario

It is the assembly between the mission, the interlocutor, the real-time or standard observer(s). 

HMI (Human Machine Interface) field

• Name: the name of the scenario 
• Assignment : a mission selector in the mission list
• Interlocutor : a selector of the interlocutor in the list of interlocutors
• Observers : a selector of standard observers in the list of standard observers
• Real-time observer : a real-time observer selector in the real-time observer list

10. Organization of the SaaS platform

To ensure efficient, secure, and flexible management of the AiCoaching environment, the platform is designed around a clearly defined role and permission structure. This organization, typical of a robust SaaS solution, allows access and action capabilities to be tailored to individual responsibilities, from overall platform administration to final use by learners. This chapter details the different user levels, their respective prerogatives, as well as the grouping and sharing mechanisms that facilitate collaboration and targeted delivery of training content within client organizations and beyond. Understanding this structure is essential to fully exploit the potential of AiCoaching while maintaining the necessary control and confidentiality.

1. Super Administrator (platform)

• Manages the entire platform.
• Can create customers (called operators).

2. Operator (customer administrator)

• Can :
  • Create editors, users And user groups.
  • Create and share scenarios and playlists.
  • Share to:
    • Of the internal users.
    • Of the user groups.
    • Of the people without an account via sharing links.
      
• Full access to customer content.

3. Editor

• Can create:
  • Scenarios, characters, missions, observers, playlists.
    
• Can test the creations.
• Can create user groups.
• Can share his creations:
  • To users
  • To groups
  • Via a public link for people outside the platform.
• Only sees:
  • His own creations.
  • The contents shared with him or with his groups.

4. User

• Can only play to scenarios or playlists.
• Sees only what has been shared with him (individually or through a group).

5. User groups

• Created by the operators Or editors.
• Facilitate the collective sharing of content.
• Members have access to scenarios/playlists shared within the group.

6. External sharing feature with immersive customization

• Scenarios and playlists can be shared via a public link.
• When a visitor opens the link, they must enter a first name, last name or pseudonym.
• This name is then used in the scenario, allowing a more immersive experience and personalized.
  

7. Resource sharing

The resource creator (interlocutor, scenario, observer) can be shared by the content creator to a group in his organization or to a user.

11. Using Dynamic Tags in AI Coaching

In AI Coaching, the dynamic tags are at the heart of personalization and contextual intelligence. They allow precise information about the user, the interlocutor, the mission, or the observer to be automatically integrated directly into the prompts used by the AI, without having to re-enter them each time. This system reinforces the realism, consistency, and educational effectiveness of each session.

Role of Tags in User Experience

Tags are used to:

• Dynamically adapt content to user profiles or chosen scenarios.
  
• Enrich the authenticity of exchanges by integrating personalized elements (name, objective, organization, etc.).
  
• Centralize business logic in AI profiles for maximum reusability, without overloading missions.
  
• Structure observer feedback through a detailed analysis of the dialogue.
  

These tags are used in the internal profiles of interlocutors and observers, as well as in system prompts, in order to guide the AI while keeping the scenarios flexible and modular.

List of Available Variables/Tags

Variables allow the AI prompt to be built dynamically.

they are used in the fields:

• Speaker:
  • Profile
• Assignment :
  • Mission of the interlocutor
  • End condition
• Observer:
  • Profile

How is the prompt sent to the AI made? : 

Mission variables are built based on mission fields, which can themselves use variables. The prompt is then generated from the interlocutor's profile field, which can use variables from the mission, information about the user using the account, and the interlocutor. 

Here are the variables/tags available in AI Coaching, grouped by type:

User Variable/Tags

Variable/Mission Tags

Variable/Tags Speaker

Variable/Tags Observer (Coach)

Tag Dialogue

Tag success/failure

This tag may not be used because sometimes there is neither success nor failure in an exchange

12. Scenario end condition

the persona has a field”end condition” which allows to detect if the scenario user wins his mission. This is added to the AI prompt. The application detects the sending of this victory marker, does not display it and generates a victory firework, the tag used is [[WIN]] for a victory and [[LOSE]] for a defeat. This end condition is put in a dedicated input field of the mission which will be added by concatenation by the system when reconstructing the final prompt of the character by putting it at the end. 

13. Scope of application

AiCoaching is a versatile platform designed to optimize training and skills development in various sectors. Here is a detailed list of the areas where our product is used:

1. Banking Sector:

• Training of financial advisors : Training in client portfolio management and proposing suitable financial products.
• Preparation for customer interviews : Simulation of discussions with clients of various profiles to improve communication and negotiation skills.

2. Insurance and Mutuals:

• Training in the sale of new insurance products : Situational training to effectively present new offers to customers.
• Complaints management : Simulation of customer service scenarios to improve satisfaction and loyalty.

3. Commercial Sector:

• New product launches : Training sales teams on the features and benefits of new products.
• Advanced Sales Techniques : Training in specific sales strategies, such as consultative selling or complex negotiation.

4. Pharmaceutical and Health Industry:

• Training of medical representatives : Simulation of visits to healthcare professionals to present new drugs or medical devices.
• Regulatory Compliance Awareness : Training in protocols and regulations in force in the health sector.

5. Information Technology (IT):

• Cybersecurity training : Situational planning to identify and respond to threats new software option : Training in the effective use of new technological tools and platforms.

6. Human Resources:

• Recruitment training : Interview simulation to improve candidate assessment techniques.
• Conflict management : Role-playing to develop conflict resolution skills within the company.

7. Public Sector and Administration:

• Training in public reception : Training in managing various situations with users.
• Awareness of public policies : Training on new regulations and administrative procedures.

8. Education and Training:

• Teacher training : Situational training to manage classes with varied student profiles.
• Development of teaching skills : Training in the use of new teaching methods and technological tools.

9. Hotel and Tourism Industry:

• Customer service training : Simulation of scenarios to improve customer service and satisfaction.
• Emergency management : Training in the appropriate reaction to unforeseen situations.

10. Logistics and Transport:

• Supply Chain Management Training : Simulation of scenarios to optimize logistics processes.
• Road safety awareness : Training drivers in safe practices and managing unexpected events.

11. Safety at Work:

• Training in security protocols : Situational awareness to react appropriately in the event of an accident or incident.
• Awareness of occupational risks : Training in identifying and preventing hazards in the workplace.

12. Customer Service:

• Complaints and claims management : Simulating difficult conversations to improve customer satisfaction.
• Intercultural communication training : Training in interacting with clients from diverse cultural backgrounds.

13. Marketing:

• Development of digital marketing skills : Training in new trends and tools in online marketing.
• Advertising campaign management : Simulation of the planning and execution of marketing campaigns.

14. Manufacturing Industry:

• Training in the use of new machines : Practical training on recent production equipment.
• Awareness of quality standards : Training on production standards and quality assurance procedures.

15. Legal Sector:

• Training in new regulations : Updating knowledge on current laws and regulations.
• Development of mediation skills : Training in the amicable resolution of disputes.

16. Agriculture and Agri-Food:

• Training in modern agricultural techniques : Training in the use of innovative technologies and methods.
• Awareness of health standards : Training on food safety and hygiene protocols.

17. Arts and Entertainment:

• Stage Management Training : Training for artists and technicians for live performances.
• Development of skills in audiovisual production : Training in tools and techniques for creating multimedia content.

18. Environment and Energy:

• Raising awareness of sustainable practices : Training on ecological and responsible methods.

Energy resource management training : Training in optimizing consumption and using potential renewable energies.