A bit about “Intelligent Operators”.

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“Intelligent operators” (or AI agents) are autonomous AI systems capable of independently setting goals, planning actions, using external tools, and completing tasks without human involvement. They are digital employees of a new generation that outperform ordinary chatbots.

Unlike standard virtual assistants that only respond to text requests, intelligent operators have the following architecture:

A “brain” that understands context and generates solutions.
The ability to remember the history of conversations and past experience.
Access to external programs (APIs, databases, search engines) to carry out real actions (for example, sending emails, making reservations, updating data in a CRM).
The ability to break a complex task into step-by-step subtasks and execute them.

Intelligent operators are changing the approach to automation:

Automatic resolution of problems: from processing a product return to checking an order’s status.
24/7 monitoring of competitors, analyzing databases, and generating reports.
Voice or text AI managers that make calls, conduct negotiations, and carry deals through to purchase.
Automatic assignment of incoming requests and diagnostics of failures in 24/7 mode.

To deploy such operators and agents into company business processes, various platforms and technologies are used:

Amazon AI Agents — cloud solutions for building scalable AI systems.
ELMA365 — enables embedding AI operations and building corporate multi-agent systems.
Bitrix24 — offers built-in AI assistants for working with leads, tasks, and text.
Just AI and Naumen platforms are being implemented to operate omnichannel intelligent agents in contact centers.
Zapier and n8n — services that combine classic process automation with the ability to embed AI logic steps directly into the workflows between different applications.
Salesforce Agentforce — autonomous AI agents that are deeply integrated with the CRM system and can perform multi-step actions with customer data.
Microsoft Copilot Studio — allows deploying agents to automate workflows within the Azure and Microsoft 365 ecosystems.
StackAI and Dify — visual builders where you can create agent workflows and connect external documents and databases in a convenient interface.
CrewAI — a popular framework for creating agent teams with role separation (for example, a marketing agent passes data to an analytics agent).
LangGraph — a tool for creating complex, step-by-step scenarios while preserving state (State Machine).
Cloud solutions — for secure deployments in a regulated segment, for example AWS Bedrock or Vertex AI Agent Builder (Google Cloud) are used.
Yandex AI Studio — tools for configuring behavior and connecting AI to APIs.
In Russia, for the first line of support and sales, services like Jivo AI or voice robots Zvonobot are popular.