Overview – Teemant

🧩 What is Teemant?

Teemant is a platform designed to structure, orchestrate, and automate data collection and exchange processes between users and enterprise information systems.


It leverages AI-driven agents to guide interactions, validate inputs in real time, and transform unstructured information into structured, system-ready data.


Teemant supports multiple interaction channels, including conversational messaging and email, while ensuring consistency, traceability, and integration with existing information systems.

🧠 Core principles

Teemant Teemant is built around the following principles:


  • Interaction as a controlled process
    Whether the interaction starts from a chat or an email, all exchanges are governed by predefined guides and data models.
  • Structured data first
    Data is always collected, enriched, and validated against explicit models to ensure technical usability downstream.
  • AI as an orchestrator, not just a responder
    AI agents are responsible for deciding what to ask, what to validate, and when to integrate data.
  • Clear separation of responsibilities
    Collection logic, data structure, and system integration are handled by distinct components.



signed to structure, orchestrate, and automate data collection and exchange processes between users and enterprise information systems.



It leverages AI-driven agents to guide interactions, validate inputs in real time, and transform unstructured information into structured, system-ready data.


Teemant supports multiple interaction channels, including conversational messaging and email, while ensuring consistency, traceability, and integration with existing information systems.

🔌 Interaction channels supported

Teemant currently supports multiple interaction paradigms:


💬 Conversational automation


  • Users interact with an AI agent through conversational channels.
  • The agent follows guides to collect information step by step and ensures that all required data is captured and validated.


📧 Email automation


  • Teemant also supports Email Automation, applying the same foundational concepts as conversational agents, adapted to email workflows.


💬 Chatbot automation

Teemant provides conversational AI agents accessible through several messaging platforms, including:


  • WhatsApp
  • Microsoft Teams
  • Google Chat
  • Other channels to come


These chatbots allow users to interact naturally with Teemant while ensuring that conversations remain structured and goal-oriented.


How chatbot automation works (conceptual):


  • Users interact with an AI agent via a messaging channel.
  • The agent follows configured guides to:
  • ask the right questions,
  • validate inputs,
  • apply business rules and computed fields.
  • All collected information is structured according to data models.
  • Once complete, data can be injected into downstream information systems.

From the user’s perspective, the interaction feels conversational.
From the system’s perspective, the process is fully controlled and structured.


Conversational automation


  • Users interact with an AI agent through conversational channels.
  • The agent follows guides to collect information step by step and ensures that all required data is captured and validated.


📧 Email Automation

Teemant also supports Email Automation, applying the same principles used for chatbot automation.


Instead of starting from a conversation, the process starts from an incoming email.


At a high level

:

  • Incoming emails are analyzed (content, attachments, OCR if needed).
  • Teemant selects the appropriate agent based on the detected context.
  • The agent structures the information according to data models.
  • If information is missing, the agent can generate follow-up emails to complete the data.
  • Once complete, data is injected into the target information system.


Email automation is designed as a collaborative process involving:


  • the email sender,
  • internal recipients,
  • and the AI agent.



🏛️ High-level architecture


Regardless of the interaction channel (chatbot or email), Teemant follows the same logic:


  1. 📩 Information is received
  2. 🤖 An AI agent follows configured guides
  3. 📐 Data is structured using data models
  4. 🔄 Integration components handle exchanges with information systems

🧭 Backend structure overview

The Teemant  backend is organized into functional sections, each exposed through a dedicated tab:


  • 🧑‍💼 Agents & Guides
    Define how AI agents interact and collect information.
  • 🗃️ Data & Models
    Define the structure and technical naming of data.
  • 🔗 Integration components
    Manage exchanges with information systems:
  • Transports
  • Outputs
  • Tasks
  • ⚙️ Workspace & Administration
    Manage environments, users, permissions, and configuration lifecycle.


Each section is described at a high level in the User Guide.