Runwork
Langchain.agent Langchain.lmChatGoogleGemini Langchain.memoryBufferWindow Langchain.chatTrigger Langchain.textClassifier ServiceNow +8 more

Automate ITSM ticket classification and resolution using Gemini, Qdrant and ServiceNow

This intelligent ITSM assistant leverages Google Gemini and Qdrant to automatically categorize user queries and manage support tickets. It seamlessly routes incidents into ServiceNow while utilizing semantic search to provide instant answers for general requests. By automating classification and knowledge retrieval, it significantly reduces the manual workload for IT support teams.

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What This Recipe Does

Managing IT service requests often involves navigating complex enterprise software, leading to delays and administrative fatigue. This automation bridges the gap between your team and ServiceNow by providing an AI-powered conversational interface. Instead of manually filling out intricate forms or searching through endless ticket logs, users can interact with your ITSM system using natural language. The workflow processes requests, retrieves ticket statuses, and updates records automatically through a simple chat window. By centralizing these interactions, your IT department reduces the time spent on routine data entry and status reporting. This allows support agents to focus on high-value technical problem-solving rather than administrative overhead. For business users, it means faster response times and a more intuitive way to get the help they need. The result is a more responsive IT operation that scales without requiring additional headcount for basic management tasks.

What You'll Get

Complete App

Forms, dashboards, and UI components ready to use

Automated Workflows

Background automations that run on your schedule

API Endpoints

REST APIs for external integrations

Connected Integrations

Langchain.agent, Langchain.lmChatGoogleGemini, Langchain.memoryBufferWindow, Langchain.chatTrigger, Langchain.textClassifier configured and ready

How It Works

  1. 1

    Click "Start Building" and connect your accounts

    Runwork will guide you through connecting Langchain.agent and Langchain.lmChatGoogleGemini

  2. 2

    Describe any customizations you need

    The AI will adapt the recipe to your specific requirements

  3. 3

    Preview, test, and deploy

    Your app is ready to use in minutes, not weeks

Who Uses This

Frequently Asked Questions

Do I need to be a ServiceNow administrator to use this?

No. Once the initial connection is established, any authorized team member can interact with the system through the Runwork interface.

Can I customize the types of requests the AI handles?

Yes. You can define specific parameters and instructions within the workflow to ensure the AI follows your company's unique IT protocols.

Does this work with custom fields in my ServiceNow instance?

Yes. The integration allows you to map and interact with both standard and custom ServiceNow tables and fields.

What does the final application look like?

Runwork converts this workflow into a clean, professional chat interface that can be shared with your team as a standalone web app.

Importing from n8n?

This recipe uses nodes like Langchain.agent, Langchain.lmChatGoogleGemini, Langchain.memoryBufferWindow, Langchain.chatTrigger and 10 more. With Runwork, you don't need to learn n8n's workflow syntax—just describe what you want in plain English.

Langchain.agent Langchain.lmChatGoogleGemini Langchain.memoryBufferWindow Langchain.chatTrigger Langchain.textClassifier ServiceNow Langchain.vectorStoreQdrant Set Langchain.embeddingsGoogleGemini ManualTrigger Langchain.documentDefaultDataLoader Langchain.chainSummarization HttpRequest StickyNote

Based on n8n community workflow. View original

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