Domo 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.
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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.”
SOURCE: Businesswire