Build a multi-agent AI customer support system

AI agents are revolutionizing customer support by providing 24/7 assistance, understanding urgency, and processing queries with company-specific details. This transformation is powered by large foundation models, and the article outlines how to build a multi-agent system using an open-source Agent Development Kit (ADK) and the Agent-to-Agent (A2A) protocol. The ADK, developed by Google, offers a modular and flexible framework for developing AI agents that can scale, test, and integrate into real-world systems. The A2A protocol enables communication and collaboration between AI agents, allowing them to solve complex problems collectively. The article details the development of a customer query routing and resolution system, where a coordinator agent orchestrates tasks among intake, resolution, and escalation agents based on the sentiment of customer messages. The project uses open-source models from Nebius AI Studio for various tasks, optimizing performance and cost. The system is demonstrated through a Streamlit-based UI, showcasing its potential for real-world applications like automated onboarding, internal helpdesk automation, and multilingual support.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.