Standard situation: An Employee gets a request from a Client regarding technical details of a project discussed a month ago. Finding the answer takes time to search for context through email or chat history. But only if you don't have an AI assistant that «remembers» the context of an old conversation and immediately provides a meaningful response to the Client's question. This is how AI-UniBot Personal Assistant & Corporate Chatbot works. And recently, it received an updated web interface, as well as significantly enhanced capabilities in the new version of the Microsoft 365 Teams app.

We understand that for dynamic work with large amounts of information, the Microsoft 365 Teams web interface is much more convenient. After all, there the data is displayed across the entire screen, which is invaluable for analyzing, for example, tables. There, you can keep several agents (i.e., open conversations) running at the same time, without having to end one conversation with Artificial Intelligence to return to another. In the web interface, a full dialogue history is also implemented. That's why we put so much effort into ensuring that the expanded functionality of the web interface is available directly in the Teams app, without the need to keep a web window open just in case it might be needed.

• Dialogue History

In the latest version of AI-UniBot, Users can return to any previous conversation with the bot with one click, no matter how long ago it was, view it, and continue from the same place. For example, an IT support Specialist who discussed server settings with the bot a month ago can open that same dialogue in the sidebar and add new questions without describing the context again. This is extremely important for complex projects that usually have a huge number of nuances.

• АІ Agents Specialization

Now, it is also possible to systematize AI agents for specific tasks. One can do image generation. Another one is for intelligent internet searches, such as AgenticSearch (ed.: it independently formulates queries, analyzes results, and provides answers in text form, not a list of links). The third one is for solving IT system functioning issues.

For example, in our Company's Teams, there is an agent called IT Support Pro that analyzes server logs and offers solutions based on the history of incidents. There is also an HR Guide that answers questions about vacations, sick leaves, or updates to corporate policies. This way, our Employees receive more accurate answers. Because our Financial Specialist would not turn to the HR agent with a question about tax deductions. And the bot would not suggest VPN configuration advice in response to a question about corporate policies.

• Integration into the Teams app

The previous version of AI-UniBot in Teams, built on the Microsoft Bot Framework, had limitations in response speed and design. The new version is an adapted web interface of AI-UniBot that works directly in the Teams app. This is convenient because, for example, a Project Manager who is communicating with the team in a Teams channel can immediately turn to the bot without switching between windows. And will have access to all the features of the web version: dialogue history, agent selection, contextual analysis, etc. This reduces the number of «breaks» in the workflow, especially for those who use Teams as the main communication tool.

In short, the AI-UniBot update makes interaction with Artificial Intelligence more predictable and personalized. Dialogue history saves time, АІ agent selection ensures accuracy, and the new Teams app version integrates the bot into the familiar workspace. This is not just an update of interfaces — it is the creation of a system that adjusts to the User's needs and not the other way around.