New capabilities unveiled at Domopalooza enable companies to orchestrate AI agents and enterprise data across their workflows to power the next generation of the intelligent enterprise

Domo (NASDAQ:DOMO) today announced a new AI orchestration framework that helps businesses operationalize artificial intelligence. Unveiled at the company's annual Domopalooza conference, the new capabilities include AI Agent Builder, AI Toolkits, a centralized AI Library, and the Domo MCP Server, which connects enterprise data directly to external AI platforms. Together these tools help organizations build and deploy custom AI agents deeply integrated with enterprise data and workflows.

"AI doesn't become valuable when a model gets smarter. It becomes valuable when it's connected to your business and becomes a system of action," said Josh James, founder and CEO of Domo. "This week at Domopalooza we're sharing more than 200 Domo AI use cases from our customers' live production environments. The tools we've announced will help users build AI agents connected to trusted enterprise data and workflows, turning AI from an abstract capability into something that actually drives business outcomes."

Orchestrating AI: Domo AI Library, AI Agent Builder, and AI Toolkits

Domo's new framework is designed to help companies move from the increasingly common pilot AI experiments that incur technical debt for engineers to coordinated AI systems living in their production environment. Domo's AI and Data Products Platform provides a centralized environment for building and managing AI agents that operate with trusted, governed business data. At the center of the announcement is the Domo AI Library, a central hub for curating and managing AI solutions, available to customers this summer.

Within the AI Library, users can leverage AI Agent Builder to create conversational agents or agentic workflows tailored to specific use cases.

To power these agents, teams can create AI Toolkits, packaged sets of capabilities that define what an agent can do. Toolkits allow users to combine tools, data, and workflows with the instructions and business context that guide how an agent operates. These reusable packages can include operational logic and domain-specific knowledge, enabling agents to take on roles such as a financial analyst or operations manager.

These toolkits may be created by customers, provided by Domo for common use cases, or connected to external services. Assigning toolkits to agents allows organizations to control the actions and systems those agents can access. Toolkits can also be exposed externally through MCP, allowing AI assistants such as Gemini or Claude to access those capabilities through the Domo MCP Server.

Agents built with these tools can be deployed across multiple experiences, including customizable AI chat interfaces embedded into dashboards, applications, and workflows across the Domo platform.

These capabilities allow leaders to build what many describe as an "AI workforce," specialized agents that support teams and automate work directly within business operations.

"Domo is the foundation for how we're operationalizing AI for business intelligence across our organization," said Marcus Wilkins, Lead Data Scientist at InformData, a US-based provider of background screening, continuous monitoring, and identity intelligence services from over 200 countries and territories across the globe. "By bringing our data and workflows into a single, connected environment, it gives us the control and context we need to build reliably. On top of that, we're using GenAI in decision layers within our workflows to determine what data to use and how results move forward. The result is a system where insights can be trusted, reused, and applied consistently across teams."

Domo MCP Server Connects Enterprise Data to the AI Ecosystem

A key component of today's announcement is the Domo MCP Server, which extends Domo AI Toolkits and agents to external AI platforms such as Claude, Gemini, and ChatGPT. Through MCP, these systems can securely interact with Domo data, services, and workflows. Built on the emerging Model Context Protocol (MCP) standard, the Domo MCP Server acts as a universal connector, giving AI tools access to governed enterprise data and actions inside Domo.

Through MCP, AI assistants can:

Query datasets and analytics
Trigger workflows and automation
Create dashboards and applications
Configure alerts and operational processes

While traditional integrations often return simple text responses, Domo's MCP implementation allows AI tools to render interactive business experiences directly inside chat interfaces, including dashboards and other interactive workflows.

For example, a sales leader could ask an AI assistant to analyze pipeline risk and instantly receive an interactive dashboard with filters and drilldowns. A manager could create a real-time inventory alert through a guided wizard inside a conversation, without navigating menus or building reports manually.

This approach allows intelligence to move seamlessly between AI tools and enterprise systems without duplicating logic or compromising governance.

A Foundation for the Intelligent Enterprise

Today's announcement builds on Domo's broader vision for the Intelligent Enterprise, an operating model where people orchestrate AI agents and data systems to improve decisions and accelerate outcomes.

As businesses adopt more AI agents, the need for a coordination layer becomes critical, one that connects enterprise data and workflows under consistent governance.

Domo's platform provides that coordination layer, enabling businesses to connect data across systems, establish shared semantic context, and deploy AI-driven automation where work happens.

Together, these capabilities ensure AI systems operate with a shared understanding of business context, bridging the gap between raw data and AI-powered outcomes.

About Domo

Domo is an AI and Data Products Platform that helps companies of all sizes leverage data and AI to drive value in today's data-driven world. Built around our customers' preferred data foundation, powered by our award-winning Domo.AI solution, and enriched with our partner ecosystem, the Domo platform enables users to prepare, visualize, automate, distribute, and build end-to-end data products that provide solutions across the entire data journey. From hydrating your data foundation, to building fully embedded applications that can be shared with your employees and customers, to deploying AI models across a variety of providers, Domo gives users the ability to build data products that generate measurable value for the business.

For more information, visit www.domo.com. You can also follow Domo on LinkedIn, X, and Facebook.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995. These forward-looking statements include, but are not limited to, Domo's business strategy, product release plans, and opportunities. Forward-looking statements are subject to risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. Actual results may differ materially from the results predicted, and reported results should not be considered as an indication of future performance. The potential risks and uncertainties that could cause actual results to differ from the results predicted include, among others, those risks and uncertainties included under the caption "Risk Factors" and elsewhere in our filings with the SEC, including, without limitation, the Annual Report on Form 10-K filed with the SEC on April 4, 2025 and subsequent filings with the SEC. All information provided in this release and in the attachments is as of the date hereof.

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Domo Contact

Cory Edwards

VP Corporate Communications

PR@domo.com

Domo Launches AI Agent Builder and MCP Server to Connect Enterprise Data to the AI Ecosystem