Companies are constantly communicating — meetings, calls, correspondence, discussions with clients and within the team. There is a lot of information, and it is important. But time passes and suddenly it becomes unclear: who decided what, what they agreed on, and what arguments they had. Finding the right fragment in old letters or notes is like looking for a needle in a haystack. Especially if it hasn't been a few hours, but a week, a month, or a year.
A business may face problems with a large amount of information and lack of organization. Arrangements in Zoom, mail, and messengers can get lost, which can lead to negative consequences.
The solution? The introduction of AI into business processes. An AI agent for business helps to "record", understand, extract the main thing, organize and turn conversations into knowledge. In this article, we will explain how companies can be helped to structure information and give an example of a product that works according to this principle.
Even in advanced and technological teams, there are still growth areas — especially when it comes to work communications.
Logging meetings with an AI agent helps preserve key decisions, agreements, and ideas. Meeting summaries will take the team out of the routine and create a solid foundation for scaling, growth, and transparency of processes.
What hinders the teams today:
No one has time to record the results of meetings manually.
It is difficult to find the right fragment from past discussions.
Teams work in isolation — knowledge is not transferred.
There is no single knowledge base that is formed automatically.
At LighTech, we already use an AI agent in our daily work. For example, if someone from the team cannot connect to a meeting, this does not mean that they will fall out of context. All the main points are recorded automatically, and later you can quickly get acquainted with Sammari. Without listening to the recording or clarifying with colleagues.
Do you need information about the project? It is enough to open an internal knowledge base — there are already briefings and meeting results on the right topic. Convenient, fast, transparent. This is how the team always stays informed.
The AI assistant for communication management works as an attentive participant who is always in touch. It records a conversation and helps you capture the essence, as well as highlights what is important, recognizes who said what, and turns the data into clear, structured records.
This is how it looks at the function level using the example of our LighTopic solution.
|
Opportunity |
What it gives |
|
Summary of meetings |
Automatic compilation of summary summaries with key solutions and tasks |
|
Contextual knowledge base search |
The knowledge graph links topics, meetings, and participants |
|
Centralized discussion repository |
All conversations are shared, including offline access. |
|
Real-time AI assistant |
Suggests actions, fixes tasks, generates reminders |
|
Flexible access rights |
Access management by projects, teams, and roles |
|
Integration with corporate services |
Support for Zoom, MS Teams, Google Meet, Confluence, etc. |
An intelligent platform can be useful in a variety of situations, for example, in internal meetings or in communicating with clients. The following are typical scenarios.
The AI assistant does not miss important points: who said what, what decisions were made, who is responsible for what. Everything is recorded automatically — you no longer need to take notes manually or listen to the recording.
After a consultation or a strategy session, it is not necessary to forward a recording that no one will see. Instead, you can immediately send a structured resume with conclusions, agreements, and next steps.
The AI agent connects to the call during the CustDev interview, captures the client's speech, and then automatically generates insights, classifies pains and interests, and helps build a customer journey map.
Recordings of meetings, explanations of processes, and project introductions are automatically added to the knowledge base. The new person quickly navigates the topic without having to ask the same questions to the team.
Each discussion automatically adds to the project's history. You can see how decisions were made, what changed, and what tasks are relevant now. Useful for long development cycles.
AI captures the key points of conversations with candidates or employees, allowing you to organize assessments, identify patterns, and make decisions based on data.
In order for communication to really work in the team's favor, you need to collect information and make it accessible and understandable. Meeting logging using AI is becoming such a tool. They capture the essence of conversations.
The generated materials can be immediately transferred to the right colleagues — those who will work with them. An AI assistant for business can be integrated with corporate services and integrated into workflows.
This way, the team always has an up—to-date context at hand: what objections were raised, what conclusions were reached - everything has already been sorted by topic. This does not lead to a substitute for live communication, it is just a reliable way not to miss anything and confidently move on.
