AI for Tasks and Meetings in Bitrix24

Paul Streck

10 July 2026

Meetings, tasks and coordination take up a large part of the working day in many companies. Teams talk to customers, plan projects, make decisions, assign responsibilities and clarify the next steps. After a meeting or a longer discussion, however, a familiar problem often remains. There is a lot of information, but no clear plan of action yet.

Who takes on which task? Which decisions have already been made? Which questions are still open? By when should something be completed? And where can you find the results of the meeting later on: in the chat, in comments, in an email or in personal notes?

CoPilot in Bitrix24 can help to close this gap between conversation and implementation. The AI assistant helps to formulate tasks, prepare descriptions, create checklists, work out the key points of discussions and turn agreements into concrete next steps more quickly.

It remains important to understand that AI does not replace project management and does not make decisions for the team. CoPilot does not take responsibility for processes. Rather, it helps to speed up recurring work steps, structure information and reduce the risk of important agreements being lost after a meeting.

Why tasks and meetings often lose their impact

Many meetings are worthwhile in terms of content. Participants discuss open points, find solutions and agree on next steps. The real difficulty often only begins afterwards. If results are not documented promptly, part of the information stays in the heads of individual people, part in the chat and part in personal notes.

This leads to typical problems:

1. Agreements are not translated into concrete tasks.
2. Tasks are formulated too briefly and without sufficient context.
3. Responsibilities are not clearly defined.
4. Deadlines are not set at all or only verbally.
5. Those carrying out the work do not know exactly what result is expected.
6. Managers find it difficult to assess the current status.
7. New project participants need a lot of time to understand the background.

For teams, this means additional follow-up questions, repeated coordination and unnecessary loss of time. For customers, it can lead to delays or inconsistent communication. For managers, transparency in the project decreases.

CoPilot can make this work easier. It does not manage the project itself, but it helps to bring existing information into a comprehensible form more quickly.

How CoPilot supports tasks in Bitrix24

A task in Bitrix24 should be more than a short entry in the system. A good task describes what needs to be done, why it is important, what result is expected and which steps are necessary for it.

CoPilot can help to create this structure more quickly. With its support, the following work steps can be prepared, for example:

1. Create task descriptions based on short bullet points.
2. Turn unstructured notes into clear tasks.
3. Prepare checklists for implementation.
4. Formulate tasks more clearly.
5. Describe expected results more precisely.
6. Prepare comments on tasks.
7. Make tasks easier for those carrying them out to follow.
8. Shorten overly long descriptions.
9. Turn discussions into concrete action points.

Instead of simply creating a task called "Prepare quote for customer", a team can use CoPilot like this, for example.

Based on this description, create a task for the responsible manager. The task should contain the goal, context, expected result and a checklist. The customer is interested in introducing Bitrix24 in sales. An initial proposal and a list of follow-up questions should be prepared.

This way, the responsible person receives not only a task text, but also the necessary working context. They understand better what is expected and what result should ultimately be delivered.

How a good task in Bitrix24 should be structured

For CoPilot to prepare a truly usable task, it needs sufficient context. The more precise the input, the less needs to be reworked later.

A helpful task structure answers these questions:

• What needs to be done?
• Why is the task important?
• Who is the result needed for?
• What result is expected?
• By when should the task be completed?
• Which steps are necessary?

If the task is linked to a customer or a deal, additional information should be added:

• Customer or project
• Current status of coordination
• Previous agreements
• Constraints on time, budget or scope
• Desired format of the result
• Person who should review the result

An input that is too general would be, for example.

Create a task for the meeting.

A significantly better prompt would be.

Create a task for the project manager based on the customer meeting. A plan for introducing Bitrix24 in sales should be prepared. Take into account setting up the CRM pipeline, the email integration and training the employees. The result should be a short action plan with phases, a timeframe and open questions for the customer. Add a checklist.

In the second example, CoPilot receives not only an action, but also the goal, context and expected result. This makes the task easier to understand for the person carrying it out and more useful for later monitoring.

How CoPilot helps with checklists

A checklist makes tasks easier to manage. It breaks a larger goal down into concrete steps and helps the person carrying out the work understand exactly what needs to be done.

This is particularly helpful for tasks with several phases, for example preparing a quote, setting up a CRM, starting a project, handling a customer inquiry, reviewing documents, approving a document or preparing a meeting.

The AI assistant can turn a general task description into a clear sequence of steps.

Examples of possible requests to CoPilot.

Turn this task description into a checklist. Each item should be concrete and verifiable.

Create a checklist for preparing a customer meeting about introducing Bitrix24. Take into account the analysis of existing processes, questions about the CRM, possible integrations, employee roles and the project timeframe.

Divide this task into four phases. Preparation, implementation, review of the result and coordination with the customer.

Such a structure reduces the risk of important steps being overlooked. At the same time, project managers and leaders can more easily see which parts of the task have already been completed.

CoPilot after meetings

One of the most practical areas of application for AI is the follow-up to meetings. After a conversation, notes, chat messages, verbal agreements and individual comments often remain. If this information is not organized promptly, important details can be lost.

CoPilot can help to turn a meeting into a usable result more quickly. This primarily includes:

• A short summary of the conversation
• A list of the decisions made
• Open questions
• Tasks for those involved
• Next steps
• Follow-up questions for the customer
• Points that still need to be coordinated internally

A possible request to CoPilot could look like this.

Create a short summary of the meeting. Highlight the decisions made, open questions, tasks, responsible people and next steps.

For project work, a fixed structure is particularly helpful:

• Decisions
• Tasks
• Responsible people
• Deadlines
• Open questions

With this format, the team quickly recognizes what has changed as a result of the meeting and which concrete steps are next.

What should happen right after a meeting

So that a meeting does not remain just a conversation, it should be translated into concrete work as quickly as possible.

A sensible sequence can look like this:

1. Prepare a short summary.
2. Record the decisions made.
3. Document open questions separately.
4. Translate agreements into tasks.
5. Assign responsible people.
6. Add deadlines.
7. Create checklists for more extensive tasks.
8. Send an understandable follow-up to the participants.

The AI assistant can speed up many of these steps. The final review, however, remains the team's responsibility. Were the agreements recorded correctly? Are important details missing? Are responsibilities and deadlines realistic? Only after this review should the result be passed on to those involved or saved as a task.

Examples of CoPilot requests for tasks and meetings

The following prompts can be used as a basis and adapted to your own processes in Bitrix24.

For creating a task

For a task after a meeting

For a checklist

For a meeting summary

For a follow-up after the meeting

For project managers

For people carrying out the work

For managers

What should be checked before saving a task

CoPilot can speed up the preparation of a task, but should not be used without review. Before saving a task or sending a meeting summary, the following points should be checked:

1. Is the task formulated clearly?
2. Is the expected result clear?
3. Is there a responsible person?
4. Is a deadline specified?
5. Is the task not too large?
6. Is a checklist needed?
7. Were the agreements reproduced correctly?
8. Are important constraints or conditions missing?
9. Does it contain confidential information?
10. Is the task linked to the right project, customer or deal?
11. Does the task fit the actual process in the company?

A good task should be understandable without additional verbal explanation. If the person carrying it out first has to ask what exactly is meant, the task should be made more precise.

Which teams benefit most from using it

1. Sales. Sales staff can create tasks more quickly after conversations, document customer agreements, prepare follow-ups and pass information on to project teams.
2. Project teams. Project managers can turn discussions into tasks, checklists, status reports and next steps more quickly.
3. Customer service. Support teams can structure inquiries, create tasks for follow-up work, document recurring problems and pass information on to the responsible departments.
4. Managers. Managers receive short summaries of meetings, project statuses and open questions more quickly. This makes it easier to see which topics require attention.
5. HR and internal teams. CoPilot can also help with internal meetings, for example with onboarding tasks, training measures, coordination, approvals or organizational topics.
6. International teams. For distributed teams, it is especially important to record agreements in writing and in a traceable way. The AI assistant can help to structure meeting results and tasks more clearly.

Why CoPilot works better in a well-configured Bitrix24

AI can formulate tasks, work out decisions from meetings and prepare next steps. The quality of the results, however, also depends on how clearly the work is organized in the system.

If tasks are created without uniform standards, deadlines are only maintained irregularly, responsibilities are missing and agreements remain in chats, CoPilot works with an incomplete and unstructured context. In this case, AI can speed up individual work steps, but cannot solve the underlying problem of disorganized processes.

For CoPilot to be used sensibly in the company, central elements in Bitrix24 should be set up cleanly:

• Project and workgroup structure
• Rules for creating tasks
• Templates for tasks and checklists
• Roles and responsibilities
• Connection between tasks, CRM, customers and deals
• Rules for documenting meeting results
• Automation of recurring steps
• Notifications and deadline monitoring

The clearer the working environment is set up, the more easily employees can use CoPilot in everyday work. That is why AI in Bitrix24 should not be seen as an isolated additional feature, but as part of a well-organized way of working with tasks, communication, CRM and customer processes.

How WAM IT integrates CoPilot into work processes

For many companies, it is not just about activating AI features. What is decisive is how CoPilot is sensibly embedded in the team's existing work. If processes in Bitrix24 are not described, the CRM is only partially set up, tasks are created inconsistently and meeting results are documented irregularly, CoPilot usually remains only occasional support.

WAM IT helps companies adapt Bitrix24 to real business processes. The team analyzes the existing configuration, identifies weaknesses and sets up the CRM, tasks, projects, automation, communication and roles so that Bitrix24 can be used in everyday work in an understandable and reliable way.

In the context of tasks and meetings, this can concern the following areas, for example:

• Structure of projects and workgroups
• Templates for tasks
• Rules for tasks after meetings
• Connection between CRM, tasks and customer communication
• Automation of recurring steps
• Training employees in the use of Bitrix24 and CoPilot
• Supporting the team after the launch

This way, CoPilot is not used as an isolated test feature, but as part of daily work. Employees know where agreements are documented, how tasks are created, how meeting results are recorded and how AI provides sensible support without losing control over the process.

Conclusion

CoPilot in Bitrix24 helps teams get from discussion to implementation more quickly. The AI assistant supports the creation of tasks, task descriptions, checklists, meeting summaries and next steps.

The greatest benefit comes from simple everyday scenarios. These include summaries of meetings, tasks after coordination, checklists for those carrying out the work, project status reports and lists of open questions.

The effectiveness of AI, however, does not depend on CoPilot alone. Bitrix24 should be set up logically, with clear roles, a sensible task structure, connections to the CRM, traceable communication rules and transparent processes.

Companies that want not only to try out CoPilot but to integrate it sensibly into their existing workflows can use WAM IT to analyze and specifically develop their Bitrix24 structure.