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Teams use UtopikAI to ask questions in natural language and get answers grounded in company knowledge — for example, the most common feature request this month, or whether a product capability already exists. Assistants handle that work in interactive chat. Agents run the same kind of knowledge work on their own, on a schedule, or inside a workflow. They are two different entities; each has its own models, knowledge, skills, tools, and prompts. You can attach tools from a catalog of 100+ apps. See Supported Tools. Connectors are optional when you want search and answers grounded in your sources. The pages below are starting points, not a complete list. Mix assistants, agents, tools, workflows, Studio (images, video, audio, and 3D), and tasks to match how your organization works.

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Use cases

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Multi-feature use cases

These pages show how teams combine assistants, agents, Studio, tools, skills, workflows, and tasks.

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How the product maps to these jobs

Start with the built-in assistants and agents in chat (General, Art, Search, and others), then create your own when a team needs something specific.

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Security and sample content

Sample documents may already be connected so you can try search and chat. Replace them with your own sources from Admin → Connectors. Document processing runs in your UtopikAI deployment. Content is sent outward only for the generative AI call to the LLM you configured. Document-level permission sync is available where your plan includes it. For more on data, access, and getting started, see the FAQ.