How Rivian connects systems and governs AI agents across the business

Connecting the systems where work happens

Enterprise work moves across teams, tools, and data. Building an AI agent is one part of the process. Giving it the context and access it needs to do useful work is another.

Sim brings those pieces into one workspace. Teams can connect their business systems, give agents access to trusted company knowledge, and build repeatable processes around the way they work.

From an idea to an agent

Teams can describe what they need in Chat, connect steps in the visual builder, or work with code. Each approach leads to the same place: an agent that can use company knowledge, work with shared data, and take action through connected tools.

With Workflows, that logic stays visible. Teams can understand how an agent works, test each step, and refine it as their needs change.

Governance built into the workspace

Building agents and operating them belong together. As more teams bring AI into their work, they need a consistent way to manage access, models, and spend.

Sim provides enterprise controls alongside the tools for building. Permissions define what teams can use, spend controls set boundaries, and Logs make each run available to review.

One place to build and operate

The workspace keeps agents close to their knowledge, data, and execution history. Teams can return to the same environment to improve an agent, understand a run, or manage how it is deployed.

That is the idea behind one place for enterprise AI: connected systems, visible agent logic, and shared controls for the work ahead.