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Welcome to Domo’s

AI Agent Store

Search our library of AI Agents to see what is possible using the Domo platform.

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Explore by:  Category,  Feature,  Department, or Integration

3D isometric illustration of AI processor building workflow diagram with loop arrows and parameter connections
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Workflow Generator

AI-powered tool that generates medium-sized workflows with loops, correctly mapped parameters, and working automation logic ready for deployment, eliminating the deep platform expertise previously required.

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Production Yield Review

AI agent that analyzes intraday production data to detect yield rate declines in real time, pinpointing the exact timing and production floor location of issues so management can investigate root causes immediately.

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Warehouse Routing Optimization

AI agent embedded in operational applications that analyzes real-time warehouse conditions to dynamically recommend optimal conveyor routing, moving decision support from static business rules to adaptive intelligence.

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Real-Time Yield Monitoring

Continuous monitoring AI agent that tracks yield across products and individual components in precision manufacturing, automatically flagging drops before they compound into significant production efficiency losses.

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Governance & Bottleneck Optimization

AI agent that automates employee on/off-boarding governance workflows and analyzes manufacturing plant bottlenecks to recommend strategic equipment purchases, combining compliance automation with Python-driven schedule optimization.

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ETL Documentation

AI agent that automatically generates business-friendly documentation for complex data pipelines, with a V2 RAG chat interface for interactive Q&A on pipeline logic and configuration.

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Ticket Resolution

AI agent that analyzes incoming development tickets, identifies information gaps to request clarification, generates fix hypotheses for well-documented issues, and orchestrates iterative resolution workflows with engineering teams.

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Metadata Extraction

AI agents that automatically extract metadata from data flows and populate structured documentation, with self-service refresh capabilities ensuring documentation stays current as pipelines evolve without manual intervention.

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