🔒Открыть пост
и посмотреть медиа
и посмотреть медиа
AI agents are moving from pilots to production.
Modern AI agents integrate with CRMs, ERPs, BI tools, internal APIs, and external data sources — executing tasks, coordinating workflows, and supporting decisions across teams.
In our article, we explain what AI agents are in practice, how they differ from classic chatbots, and what enterprises need to consider when deploying them at scale.
We cover:
- how AI agent architecture works in real business systems;
- the role of LLMs, orchestration, memory, and tooling;
- common agent types and concrete B2B use cases;
- where network infrastructure becomes a limiting factor;
- and why proxies matter once AI agents interact with the web.
👉 Read the full article