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Build a self-service AI agent with OpenShift AI

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Build a self-service AI agent with OpenShift AI

Looking to automate complex IT service tasks? Learn how to build an omnichannel self-service agent using Red Hat OpenShift AI that meets your team where they already work: Slack, email, and ServiceNow.

In this video, Tommy Hughes, Principal Software Engineer at Red Hat, demonstrates the IT self-service agent AI quickstart. You’ll see how this agent maintains multi-turn session context across different channels, allowing a user to start a laptop refresh in Slack and finish it via email without missing a beat. Tommy breaks down the underlying architecture that ensures scalability, reliability, and decoupled service management.

Red Hat AI quickstarts are a catalog of ready-to-run, industry-specific use cases for your Red Hat AI environment. Each AI quickstart is simple to deploy, explore and extend. They give teams a fast, hands-on way to see how AI can run solutions on enterprise-ready, open source infrastructure.

🛠️ Explore the IT self-service agent quickstart → https://docs.redhat.com/en/learn/ai-quickstarts/rh-it-self-service-agent
📖 Read the deep dive on Red Hat Developer → https://developers.redhat.com/articles/2026/02/09/self-service-ai-agent-slack-email-servicenow
🚀 Get started with Red Hat OpenShift AI → https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai

#RedHatAI #AgenticAI #OpenShift

Date: March 20, 2026