This use case demonstrates how a non-technical user was able to build a functional, intelligent customer support Agent—complete with Retrieval-Augmented Generation (RAG), ServiceNow integration, and live agent escalation—using Zammo Agents and plain natural language prompts. The entire experience was designed, configured, and tested within minutes, without writing a single line of code.
Organizations often need AI Agents that can:
Traditionally, building an Agent with this level of functionality required cross-functional teams, developers, and significant lead time. Zammo changes that.
Using Zammo’s no-code Agent Designer, a user was able to create a fully functional Agent by simply describing what it should do.
The user instructed the Agent to answer questions using content from an indexed knowledge base. Thanks to Zammo’s support for Retrieval-Augmented Generation (RAG), the Agent was able to generate context-aware responses with real-time reference to internal documents and external content—citing sources transparently to build trust with end users.
Example prompt in Agent Designer:
“Use my RAG project to help answer customer questions.”
Zammo Agents come with built-in integration capabilities. In this case, the user connected the Agent to ServiceNow by selecting the appropriate preconfigured skill. The agent was immediately able to create, retrieve, and check the status of tickets—all triggered by plain language inputs from end users.
Sample interaction:
User: “Can I submit a support request?”
Agent: “Sure, I can help with that. What issue are you having?”
(Agent collects details and automatically creates the ticket in ServiceNow.)