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Domo launches AI agent builder with broad enterprise data connectivity - SiliconANGLE
Domo launches AI agent builder with broad enterprise data connectivity Business intelligence software firm Domo Inc. today announced a new artificial intelligence agent builder, AI toolkit and library of external enterprise data connectors to help organizations deploy custom AI agents into their systems. "AI doesn't become valuable when a model gets smarter," said founder and Chief Executive Josh James. "It becomes valuable when it's connected to your business and becomes a system of action." Introduced during the company's annual Domopalooza conference this week in Salt Lake City, the data connectors work with the industry standard Model Context Protocol, which supplies AI agents with enterprise data directly from external application programming interfaces and AI platforms. The new framework is designed to centralize the creation and management of AI agents that operate within a trusted and governed environment. It also allows integration with internal company data and data from outside the organization. AI models and supporting systems can organize, review and control AI-based solutions, which will be available this summer. Within the AI library, users will be able to create conversational agents with specific roles or goal-oriented agents that complete a series of tasks on demand or triggered by events. For example, a user could create an agent that watches a customer database for contact updates. When a customer sales representative adds a new contact, the agent begins gathering information about that contact and populates additional details from the web, company sources, trusted industry resources and other external data. It then compiles the information gathered into a report for sales, marketing or outreach and waits for the next update. All of this can be used in combination with the MCP capability that can query datasets and analytics, trigger that activity through automation, and create dashboards, applications and reports. It can also configure alerts and other operational processes. The system is designed to allow users to create proactive agents that move beyond reactive ask-and-respond agents that act when needed. Domo aims to make this platform a responsive foundation for intelligent enterprises. The company said its platform builds on a broader vision to become an operating model where AI agents and data systems improve decisions and become a coordination layer. Employees remain at the helm and agents report to them. "By bringing our data and workflows into a single, connected environment, it gives us the control and context we need to build reliably," said Marcus Wilkins, lead data scientist at InformData LLC, a U.S.-based provider of background screening, continuous monitoring and identity intelligence services. "On top of that, we're using gen AI in decision layers within our workflows to determine what data to use and how results move forward."
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Domo Seeks To Connect Enterprise Data To AI Ecosystems With New Offerings
At its Domopalooza event this week, the business intelligence company launched a new AI agent builder, MCP server and other tools to better orchestrate AI agents and enterprise data across business workflows. Business intelligence provider Domo is expanding its capabilities within the AI arena, launching on Wednesday a new AI orchestration framework that includes an AI agent builder and MCP server, that the company says will help businesses "operationalize" AI. Domo, which is holding its annual Domopalooza conference in Salt Lake City this week, said the new offerings connect enterprise data directly to external AI platforms and help organizations build and deploy custom AI agents that are tightly integrated with enterprise data and business workflows. [Related: The 20 Coolest Cloud Software Companies Of The 2026 Cloud 100] "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 Domo founder and CEO Josh James (pictured at Domopalooza) 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." Domo, headquartered in American Fork, Utah, is best known for its business intelligence software that provides decision makers with data visualizations, interactive dashboards and other data products that can be shared across an organization. In recent years the company has extended its platform to span a broad range of capabilities including data integration and transformation, data science and machine learning, data application development, embedded analytics and business process workflows. More recently, the company has expanded its portfolio with Domo AI, which leverages AI for building and managing data products. Domo said today's product unveilings build on the company's broader vision for an "intelligent enterprise" operating model where business users orchestrate data systems and AI agents to improve decisions and accelerate outcomes. The AI framework unveiled today includes the Domo AI Library, AI Agent Builder, AI Toolkits and the Domo MCP Server. AI Agent Builder is used to develop AI agents that work with trusted, governed business data within the company's flagship Domo AI and Data Products Platform. Domo describes the AI Library, slated for availability this summer, as a central hub for curating and managing AI systems. Within the AI Library users can leverage AI Agent Builder to create conversational agents or agentic workflows for specific use cases, according to the company. AI Toolkits is a packaged set of capabilities that define what an agent can do, allowing users to combine tools, data and workflows with the instructions and business context -- including operational logic and domain-specific knowledge -- that guide how agents operate. Domo said the new Domo MCP Server is a key component of today's announcements with its ability to extend Domo AI Toolkits and agents to external AI platforms such as Anthopic Claude, Google Gemini and OpenAI ChatGPT. Through the MCP Server, AI assistants can query datasets and analytics, trigger workflows and automation, create dashboards and applications, and configure alerts and operational processes, according to the company.
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Business intelligence firm Domo introduced an AI agent builder and orchestration framework at its Domopalooza conference in Salt Lake City. The new tools use Model Context Protocol to connect enterprise data directly to external AI platforms like OpenAI ChatGPT, Google Gemini and Anthropic Claude, enabling organizations to deploy custom AI agents that automate tasks across business workflows.

Business intelligence software firm Domo announced a comprehensive AI orchestration framework this week at its annual Domopalooza conference in Salt Lake City, featuring an AI agent builder designed to help organizations deploy custom AI agents integrated with enterprise data and business workflows
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. The platform aims to operationalize AI by transforming it from an abstract capability into a system that drives tangible business outcomes."AI doesn't become valuable when a model gets smarter," said Domo founder and CEO Josh James. "It becomes valuable when it's connected to your business and becomes a system of action."
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The announcement reflects a strategic shift toward making AI agents practical tools that connect enterprise data to AI ecosystems rather than standalone technologies.At the core of Domo's new offering is enterprise data connectivity powered by the industry-standard Model Context Protocol, which supplies AI agents with data directly from external application programming interfaces and AI platforms
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. The Domo MCP Server extends AI toolkits and agents to external platforms including OpenAI ChatGPT, Google Gemini and Anthropic Claude2
.Through MCP, AI assistants can query datasets and analytics, trigger workflows and automation, create dashboards and applications, and configure alerts and operational processes
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. This capability allows organizations to centralize the creation and management of AI agents within a trusted and governed environment while integrating both internal company data and external sources1
.The Domo AI Library, slated for availability this summer, serves as a central hub for curating and managing AI systems
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. Within the library, users can create conversational agents with specific roles or goal-oriented agents that complete tasks on demand or when triggered by events1
.For instance, an agent could monitor a customer database for contact updates. When a sales representative adds a new contact, the agent automatically gathers information from the web, company sources, trusted industry resources and other external data, then compiles everything into a report for sales, marketing or outreach teams
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. This approach moves beyond reactive ask-and-respond models to create proactive agents that automate tasks and anticipate business needs.Related Stories
The AI toolkit component provides a packaged set of capabilities that define what an agent can do, allowing users to combine tools, data and workflows with instructions and business context
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. This includes operational logic and domain-specific knowledge that guide how agents operate within specific business environments.Marcus Wilkins, lead data scientist at InformData LLC, a provider of background screening and identity intelligence services, explained the practical value: "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 gen AI in decision layers within our workflows to determine what data to use and how results move forward."
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Domo's platform builds on a broader vision for an intelligent enterprise operating model where business users orchestrate data systems and AI agents to improve decisions and accelerate outcomes
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. The framework positions AI agents as a coordination layer while keeping employees at the helm, with agents reporting to them rather than replacing human oversight1
.The business intelligence company, headquartered in American Fork, Utah, has been expanding beyond its traditional data visualization and interactive dashboards to encompass data integration, transformation, data science, machine learning and embedded analytics capabilities in recent years
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. These latest announcements represent a significant step toward making AI a practical component of daily business operations rather than an experimental technology. Organizations should watch how the summer release performs in production environments and whether the MCP integration delivers on its promise to bridge enterprise data with leading AI platforms.Summarized by
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