• After installation, does the system have the capacity to “learn” as we add more content and pages to the website?

    Yes, absolutely. Our solution is based on Artificial Intelligence, which means the system is dynamic and adaptable. As you add new content, pages, or documents to your website or knowledge base, the AI can be easily trained to integrate this new information. This ensures that your chatbot always remains up-to-date and that the quality of its responses keeps pace with your business growth.

  • Can I choose between ChatGPT, Gemini, or another language model?

    Our chatbot supports a variety of language models (LLM) that we can choose from, depending on our preferences. Below is a list of the main available LLMs currently:

    • o4 Mini
    • o3 Mini
    • GPT-4.1
    • GPT-4.1 Mini
    • GPT-4.1 Nano
    • GPT-4o
    • GPT-4o Mini
    • Claude Opus 4
    • Claude Opus 3
    • Claude Sonnet 4
    • Claude Sonnet 3.7
    • Claude Sonnet 3.5
    • Claude Haiku 3.5
    • Claude Haiku 3
    • Gemini 2.5 Pro
    • Gemini 2.5 Flash
    • Gemini 2.0 Flash

  • What Fine-Tuning methods do you apply to guarantee the Brand Voice?

    The fine-tuning is done at two levels:

    • System Prompting
      In each interaction, the Agent is instructed with a robust prompt that defines the tone of voice, the level of formality, and the desired response structure, ensuring consistency.
    • Few-Shot Examples
      We provide the Agent with specific examples of “good responses” from your company so that it replicates the syntax and style of the human team.

  • How do you ensure the separation between the email body and contextual noise (signatures, email headers)?

    In the automation pipeline (Zapier/Make), we apply a pre-processing step that uses a Language Model (LLM) for classification with strict instructions to clean the input. This includes removing signatures, previous email footers, and identifying the core question before sending it to the RAG model.

  • What architecture do you use to ensure the contextual accuracy of the responses?

    Our solution is based on the RAG (Retrieval-Augmented Generation) architecture. Instead of solely relying on the internal weights of the LLM, the Agent, upon receiving the email prompt, executes a vector search within the embeddings of your Knowledge Base, retrieves the most relevant excerpt, and grounds the response in that specific and validated data.

  • What if the client has a problem that is not in our Knowledge Base?

    Our workflow includes a fallback (resource) mechanism. If the Agent detects that the question is new, complex, or high-risk, it creates a priority ticket in your system (or sends a notification email to your team) and sends an initial reply email to the client confirming that the request has been received and forwarded.

  • What is the real ROI (Return on Investment) of this service?

    The ROI is measured in saved working hours. If your support team spends 10 hours a week answering FAQs via email, the Agent can reduce that time to 2 hours. This frees up your employees to dedicate themselves to revenue-generating activities, such as lead follow-up and sales qualification.

  • How long does it take to set up and train the Agent?

    It depends on the quantity and organization of your knowledge base. On average, the automation setup takes 1 to 2 days. The initial Agent training (RAG), with your documents, is completed within a week, and the agent enters monitored production.

  • How does the AI Email Agent integrate with our current systems?

    Our solution is designed to be non-intrusive. We use a flexible automation framework (low-code, like Zapier or Make) that connects your existing email service (Gmail, Outlook, etc.) to your Knowledge Base (our Agent AI). You do not need to change your current email or CRM software.

  • Can the Agent give wrong information?

    It is our priority that this does not happen. Unlike a generic chatbot, our Agent only uses the information your company provides us. If it is not 100% sure, it doesn’t take the risk and sends the email to your team for review. Your information is the sole source of truth for the Agent.

  • Does the AI Agent reply to all my emails?

    It replies to most of them! It’s perfect for frequently asked questions and repetitive tasks. If the question is very complex, requires a human decision, or a personal touch (like a discount request), the Agent alerts your team. Our goal is for it to resolve 80% of the work, leaving you time for the most important 20%.

  • What is the “AI Email Agent”?

    It’s like having a super-intelligent digital assistant living in your email inbox. When a client sends a question (for example: “What is your exchange policy?”), the Agent reads it, finds the correct answer in your documents (as if they were your company’s notes), and replies immediately for you. This way, you don’t have to answer the same emails every day.