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MAX-Control: Unified Communications Control Center

MAX-Control started as a product idea: how an organization can manage dozens of chats, bots, requests, roles, moderation, and analytics in MAX through one controlled circuit instead of manual administration. It is now no longer just a concept, but a working server-side platform prototype with core functions that can be shown to clients and used as the basis for a pilot.

The value is straightforward: the organization gets a control center for communications instead of scattered chats and isolated bots. Requests, members, roles, risks, KPI, integrations, AI assistance, and the live MAX bot connection are visible in one place.

From Idea to Public Demo

The project started as a product concept, but it has been brought to a working solution. It is now a platform that can be opened and demonstrated through its main workflows: roles, requests, the MAX bot, AI assistance, and management sections.

The working project circuit is available here: bot-pk-max-dev.dev.dtst.su.

I plan to present MAX-Control at the “Three Missions of Russian Education” forum, scheduled for June 16, 2026, 10:00-18:00, at Digital Business Space, 47 Pokrovka St., Moscow. After the event, this case should be expanded with photos, presentation materials, and a short note about audience feedback.

Problem the Product Solves

Large organizations, universities, and teams quickly accumulate communication chaos:

  • chats, groups, channels, and bots live separately;
  • requests from messengers get lost or processed manually;
  • managers cannot easily see workload, risks, and bottlenecks;
  • employees work across different channels without one process;
  • roles, permissions, moderation, and reporting are not collected in one system;
  • integrations with CRM, 1C, HelpDesk, LMS, and internal services remain fragmented.

MAX-Control turns this into a managed model: messages become tickets, roles limit access, AI helps with processing, and management sees the operational picture.

What Was Implemented

  • Login by username and password, QR access, and long-lived sessions.
  • Role model for administrator, manager, dean's office, executive, and AI-only users.
  • Modular JSON architecture where key panel sections preserve changes after page refresh.
  • Chats and bots registry with members, history, KPI, filters, and sorting.
  • Live MAX bot circuit: webhook, outgoing messages, history, attachments, media, avatars, replies, and cache/proxy media handling.
  • Guest flow in MAX: bot start, phone request, test group, panel link, and developer contact.
  • Support workflow: a guest message from the MAX bot becomes a ticket that can be processed inside the panel.
  • User management: create, edit, assign roles, manage permissions, QR access, delete, and profile.
  • AI assistant with quick prompts, meeting audit, draft actions, and module-based sources.
  • External dashboards through an iframe/embed draft.
  • Local assets without CDN dependency: icons, QR generator, and font are packaged locally.

Architecture Idea

The core platform principle is many channels, one brain:

  • each chat, bot, or channel can operate in its own circuit;
  • the server side acts as the orchestrator for events, roles, and requests;
  • the panel gathers activity, statuses, tickets, risks, and settings in one interface;
  • integrations connect MAX with CRM, 1C, HelpDesk, LMS, websites, and internal portals;
  • the product can evolve as SaaS or as an on-premise solution inside a client's infrastructure.

This makes it possible to start with a lightweight pilot and then gradually expand moderation, integrations, analytics, AI functionality, and industry-specific scenarios.

Panel Modules

  • Executive Overview - communication, activity, and risk summary.
  • Chats and Bots - channels, members, history, and KPI management.
  • Support and Requests - MAX-originated tickets and internal processing.
  • Users, Roles, and Access - permissions and QR login.
  • AI Circuit and Knowledge Base - hints, meeting audit, drafts, and reports.
  • CRM Integrations - Bitrix24 and task workflow scenarios.
  • University Site Radar - website monitoring, issues, and responsible owners.
  • Surveys and Gamification - engagement and feedback scenarios.
  • External Dashboards - embedded management analytics from an external circuit.

What Can Be Shown in a Meeting

The project makes the product discussion concrete:

  • how an executive sees the communication overview;
  • how an employee works with chats, bots, and requests;
  • how a MAX request enters an operational workflow;
  • how roles limit access to different sections;
  • how the AI assistant helps prepare reports, hints, and actions;
  • how the live bot is connected to the panel instead of existing separately.

For a client, this is not “one more admin panel”, but a clear path: less manual work, faster request handling, more control, and a transparent foundation for further automation.

Technical Architecture

The panel is packaged as a server upload bundle:

  • panel frontend on HTML, CSS, and JavaScript;
  • backend API on PHP;
  • modular JSON data storage;
  • separate endpoints for authentication, modules, live bot, tickets, and dashboard embeds;
  • system file protection through .htaccess, router.php, and nginx security configuration;
  • live bot, webhook, and write secrets stored in env or local PHP configs;
  • support for Apache, Nginx, and PHP built-in server for launch and verification.

The system is intentionally lightweight to start, while still showing a clear path toward a production-grade implementation.

Development Vectors

The platform can be expanded step by step:

  • add mass moderation, anti-spam, and security policies;
  • add welcome flows, user verification, and reporting;
  • connect requests with 1C, LMS, CRM, HelpDesk, and internal services;
  • expand the AI circuit: auto-replies, content generation, meeting analysis, and knowledge base workflows;
  • add sentiment, engagement, and risk analytics;
  • evolve the product toward a B2B platform for universities, companies, and public-sector organizations.

My Role

I independently developed the product idea, architecture model, and roadmap, then turned it into a working server-side prototype. I built the panel, backend API, JSON storage, roles, live MAX bot connection, request processing, system file protection, AI circuit, and client-facing solution narrative.

Practical Value

This case shows how a competitive idea becomes a working product:

  • a complex communication platform is packaged into a clear management panel;
  • messenger communication, tickets, roles, AI, and analytics are connected in one scenario;
  • the solution can become the basis for a pilot and further implementation;
  • the client sees concrete value: less manual work, faster request handling, more control, and a clearer picture for management.