What's New in V26.0 - AI Setup for Admins

In this post, Marcin shows you what’s changing in Automic Automation V26 regarding AI setup from an admin’s perspective. You’ll learn why Automation.AI is becoming more important in the backend, what role MCP plays, and which settings you should be familiar with in Client 0. The post also covers data management, high availability, TLS, password encryption, logging, and central prompts. This post is aimed at admins, operators, and architects who want to properly prepare for Gen AI features in V26.
Automic Automation V26 expands Gen-AI capabilities not only in the AWI but also in the backend. This post focuses on the AI setup from an administrator’s perspective: Automation.AI, MCP, central settings, prompts, data management, high availability, and security. If you want to know which backend components you need to check for AI in Automic V26, you’ll find a concise overview here. A key point is the new role of Automation.AI. This component is no longer just a connection to an LLM provider; it has become an integration layer. Automation.AI can provision an Automic MCP server, communicate with external MCP servers as an MCP client, and make REST-based tools available via OpenAPI or Swagger descriptions. Through the AE REST API, Automation.AI can also work with up-to-date information and features from the Automation Engine. After reading this post, you’ll be able to answer these questions more clearly:
  • When does Automation.AI become a critical backend component for Gen AI?
  • What roles do MCP servers, MCP clients, and MCP security play?
  • What key settings should you be familiar with?
  • Why should the Automation.AI database, vector database, and high availability be considered separately?
  • What security considerations arise from OAuth 2.0, Basic Authentication, TLS, and password encryption?
The focus is deliberately not on the operation of AI Jobs, AI Connec

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