Build Smart Industrial Agents with Confidence
In complex industrial environments, timely decisions depend on fast and accurate access to data and analysis. With Cognite Atlas AI, your teams can do more than just find data. They can build AI agents that understand context, perform analysis, and take action.
This course walks you through how Atlas AI’s low-code workbench makes it easy to create and configure intelligent agents grounded in real operational data.
Check out our new microlearning on Building Agents in Atlas AI
From Questions to Actions with No Coding Required
With the Atlas AI Workbench, you can build agents that:
- Retrieve data intelligently: Agents pull design specifications, time series, and documents using smart, contextual logic.
- Perform advanced analysis: Let your agents write and execute code to perform tasks like deviation analysis, with no scripting required.
- Take action automatically: Once configured, agents can recommend maintenance, place material orders, and update schedules, helping teams avoid delays.
Customize Agents to Your Needs
In the course, you'll learn how to use tools like:
- Find Files to locate relevant engineering documents
- Ask Document to extract answers using semantic search
- Time Series Analysis to automate real-time equipment monitoring
Everything comes together in one platform, built on trusted contextualized data from Cognite Data Fusion, so your AI agents can work smarter and deliver reliable insights.
Scale AI Across Teams and Workflows
Once built, these agents are instantly available across Cognite applications like Canvas and Charts, and even external tools via Atlas API. That means:
- Faster decision-making
- More consistent troubleshooting
- Less time spent on manual data search and preparation
Let’s empower teams with agents that understand the job and get it done.
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