As a team specializing in web development, we are accustomed to solving problems with technology. So instead of introducing even more reports and control checklists, we created our own AI agent that helps us keep track of important points in communication between managers and clients.

Clear Roles from the Very Start

To ensure the AI agent initially knows which chat participant represents M-Social and which is the client, we uploaded data about our employees involved in communications into the system. This eliminated ambiguity, especially in complex conversations: when the client's colleagues join the discussion, reply chains form, or discussions take place in group chats with multiple participants.

Daily Collection of All Agreements

Every morning, the agent generates a daily digest of agreements from the previous day: what was promised to the client, what deadlines were agreed upon, what project changes were approved.

Previously, this data was "scattered" across chats, and to check if everything was done, one had to manually scroll through the message history. Now, the manager and project lead see: today it was agreed - to deliver the mockup by 3:00 PM, change the button color to #4A90E2, add the phone number +7 (XXX) XXX-XX-XX to the site header, etc.

Tracking Open Questions

Our AI agent also monitors unfinished tasks and generates a daily list of them.

For example, a client asks: "Can we add a subscription form on the homepage?"
Manager: "We'll look into it and check with the team." And then never returns to it.

Our assistant notices such "pending" moments and adds them to the day's list of open questions. 

What's Next?

Currently, the agent is our "silent observer" that helps us not to lose important details. But we are just getting started.

In the near future, we plan to teach it to highlight communication issues:

• Tone of messages (too harsh, too passive)
• Delays in responses
• Recurring mistakes (e.g., constantly promising deadlines without consulting the team)
• Missed signals from the client (dissatisfaction, urgency)
   

We want the AI agent not just to record data, but to help managers develop professional communication skills.

Why Did We Do This?

Because good communication is not luck, it's a system.

We don't want the quality of work to depend on who is "on form" today. We want every client to feel heard, that their issues are being resolved, and promises are being kept.

The AI agent is not a replacement for people. It's a support tool, like GPS in a car: it doesn't drive for you, but it shows where you are, where you're going, and if you've strayed from the route.

Transparency and Ethics

Important: We use the agent only internally, with the full consent of our team. All data is processed locally, without transfer to third parties. We are not listening in, not spying—we are simply automating routine tasks to free up time for genuine communication.