Use Case 02 | Build an End-to-End AIOps System with AI Agents | qRaptor

Build an end-to-end AIOps system with qRaptor — from connecting to a customer environment and building AI agents to automating incident diagnosis, resolution, and deployment. In this hands-on demo, discover how to build an enterprise-ready AIOps workflow using AI Agents, Task Agents, Multi-Agent Systems (MAS), and remote execution to streamline IT operations. What you’ll learn Connect: Securely connect to a customer environment using qRemoteX. Build: Create Task Agents for log collection, metrics, and ticket ingestion. Orchestrate: Coordinate specialized AI Agents through a Multi-Agent System (MAS). Create & Deploy: Build and deploy an Ops Centre application. Resolve: Process a ServiceNow incident, diagnose the root cause, and execute resolution steps. Reuse: Adapt the solution using a reusable Blueprint and Jira. Export & Run Anywhere: Package the end-to-end system and run it in a customer environment using Docker Compose. See AIOps in action We use a real-world enterprise scenario: a ProcureX portal experiencing performance issues. Follow the workflow from ServiceNow ticket ingestion through investigation, diagnosis, automated resolution, and incident closure. Why qRaptor? qRaptor is an Enterprise AI Systems Platform for building, governing, deploying, and reusing AI-native applications, agents, and multi-agent systems. Build once. Reuse across customers. Export and deploy anywhere. Own your system. If you’re exploring AIOps automation, Agentic AI, AI-powered IT operations, or enterprise AI engineering, this walkthrough demonstrates how these capabilities can come together in one end-to-end system. 👍 Like the video if you found it useful. 💬 Comment with the AIOps use case you’d like to see next. 🔔 Subscribe for more demos on Agentic AI, AI Agents, enterprise automation, and qRaptor. #AIOps #AgenticAI #AI Agents #EnterpriseAI #qRaptor 00:00 Intro – End-to-End AIOps System with qRaptor 00:13 Overview: End-to-End AIOps System 01:05 Connect: ProcureX + qRemoteX 01:48 Build: Task Agents 04:48 Build: AI Agents 07:18 Orchestrate: Multi-Agent System (MAS) 08:08 Create: Ops Centre 09:05 Deploy: App + MAS + Agents 09:57 Resolve: Incident Lifecycle (ServiceNow) 13:26 Reuse: Blueprint + Jira 21:50 Export: End-to-End System 22:19 Run Anywhere: Customer Environment 24:04 Wrap-up – Build it. Reuse it.