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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.

Explore by: Category, Feature, Department, or Integration

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Analyst Response

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Data Product Design

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Legal Document Translator

AI-Powered Legal Document Translation with Enhanced Accuracy and Risk Assessment

Product Launch Content

Automated GTM Content Generator for New Product Features

Competitive Intelligence

Competitive Sales Intelligence Agent with Actionable Recommendations

Anomaly Classification

AI-powered anomaly detection system that automatically identifies issues, routes them for expert verification, creates tickets, and continuously improves through feedback. Combines machine learning with human expertise for more efficient problem resolution.

Performance Audio Briefing

AI-powered agent that transforms weekly performance data into audio briefings executives can listen to before meetings, with multi-language support across five languages.

Vendor Document Verification

Automates W-9 extraction, EIN validation, and vendor matching with fuzzy logic and full audit traceability across the entire onboarding pipeline.

Conversational Data Access

AI agent that transforms published research, reports, and expert analysis into an interactive chat experience where users simply ask questions in plain language and receive insight-rich responses grounded in authoritative source material.

Contract Intelligence

AI-driven contract analysis agent that ingests complex multi-page agreements, extracts critical terms into structured datasets, tracks expiration milestones with automated notifications, and provides a conversational interface for natural-language contract queries.

Knowledge Base RAG Chat

AI chat agent powered by Retrieval-Augmented Generation that searches internal knowledge bases stored in filesets, surfacing contextual answers to help support and RFP teams respond to client inquiries accurately and efficiently.

Chat App with RAG

Universal chat application that connects to every FileSet with built-in RAG embeddings and every dataset in the instance, providing a single conversational interface with persistent chat history for contextual data queries.