AI-Powered Chatbot

Our chatbot is part of a scalable Agentic AI ecosystem. Instead of a single overloaded bot, you deploy a smart network of AI agents. Each AI agent is specialized to handle specific tasks—like answering product questions, retrieving order details or guiding users through processes. This architecture allows you to start small with just one agent and scale step by step as your service needs grow. It’s the smart way to future-proof your chatbot strategy—giving you maximum flexibility without technical debt.

At the core of our chatbot is the Orchestrator—the intelligent engine that understands the context of each request and activates the right agents to deliver a clear, unified response. Instead of relying on predefined scripts, it dynamically coordinates knowledge, logic and intent to resolve complex inquiries.

Your customers experience faster, more accurate answers—and your team benefits from a system that learns and improves with every interaction.

Our chatbot is built for the next generation of AI services. It’s fully compatible with Retrieval-Augmented Generation (RAG)—enabling it to combine the generative power of LLMs with your company’s verified data.

This means every answer is not only fluent, but fact-based. You can connect to different LLMs, such as OpenAI, Gemini or local models—and stay flexible as technologies evolve. Whether you're launching a new bot or enhancing an existing one, you're always RAG-ready.

Real intelligence needs real data. Our chatbot integrates seamlessly with your existing data landscape—from structured knowledge in USU Knowledge Management to external APIs, databases or even unstructured files like PDFs.

You stay in control of what the AI uses, ensuring that answers are always grounded in accurate, approved and up-to-date information. The result? Transparent, traceable conversations your customers can trust.

Conversations with chatbots often break down when things get complicated. Not here. With USU’s Dialog Designer, context is maintained across follow-ups, digressions and multi-step inquiries. The chatbot adapts to user behavior and keeps the flow natural and relevant—even when the path isn’t linear. It feels less like a machine, more like a human conversation—designed to guide, not frustrate.