# Introduction ## Discover more about our tool Intranet.ai Service Desk via Teams is an innovative and simple solution for managing the support requests of your colleagues. With our system, you can create, assign, track and resolve tickets in an effective and efficient way, improving the satisfaction of your colleagues and the productivity of your team. Our system is fully integrated with Microsoft Teams. This allows you to access your tickets platform from any device and location, making it easier to automate the workflow and reduce the response time. The three milestones for this tool are: 1. **Intuitive and easy system**. Our tool is designed to provide your colleagues with the support they need. 2. **No limits nor constraints**. There are no restrictions on the number of agents, comments, tickets or devices to guarantee assistance to everyone. 3. **Teams' integration for immediate access**. One of the few systems on the market that integrates perfectly into Microsoft Teams, for daily productivity. The Intranet.ai Service Desk was born from the need to facilitate the process of opening a ticket and its subsequent resolution, guaranteeing colleagues adequate support to the need of the moment. ## Request a Demo Our help desk service is available at a fixed price. Here you can easily book a demo and discover on your own why also your company should have Microlearning as one of its tools. {% hint style="info" %} [Click here](https://intranet.ai/about/start-free-trial/?_gl=1*6lb67*_up*MQ..*_ga*MTUwNzc4MTgyOC4xNzIzMjE3ODMz*_ga_4WZH9J6ZP0*MTcyMzIxNzgzMi4xLjEuMTcyMzIxODAzNS4wLjAuMTYxOTg2ODYwOQ..) and book an appointment with our experts {% endhint %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.intranet.ai/ticketing-system-via-teams/introduction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.