Domo announced a new artificial intelligence (AI) orchestration framework designed to help companies move from pilots to coordinated systems.
The new framework includes AI Agent Builder, AI Toolkits, a centralized AI Library, and the Domo MCP Server, which connects enterprise data directly to external AI platforms.
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, according to company officials.
Domo’s Josh James
Josh James, founder and CEO of Domo, said 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 James in a statement. “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’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.
MCP Server
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. This approach allows intelligence to move seamlessly between AI tools and enterprise systems without duplicating logic or compromising governance.
