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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