Boomi adds governance tools for enterprise AI agents

Boomi has expanded its enterprise platform with new tools for managing AI agents, data and workflow orchestration, with a focus on governance and control for businesses using multiple AI systems.

The additions span five areas: governed agent connectivity, orchestrated agentic workflows, agentic engineering, grounded agent context and localised agent infrastructure. They are aimed at organisations trying to connect AI assistants and agents to existing business systems without adding complexity.

At the centre of the announcement is a new approach to linking AI tools such as Claude, Copilot and Gemini with enterprise applications. Boomi's Connect product offers managed links through more than 1,000 MCP-enabled tools, while its AI Gateway adds policy enforcement, spending controls and monitoring.

Boomi has also introduced an MCP Registry, a central catalogue for discovering, governing and managing MCP servers across Boomi and third-party registries. The move reflects a broader push by software vendors to establish the Model Context Protocol as a standard for connecting AI systems with external tools and data sources.

Workflow tools

Boomi is also adding orchestration features intended to let business and IT teams design workflows that combine agents, APIs, integrations, event streams and data models in one environment. Its Orchestrate product uses natural language prompts for some tasks instead of conventional coding.

A separate product, Agent SIM, is being offered as a labs preview so organisations can test agent behaviour before deployment. The feature is designed to reduce operational risk as companies weigh how much autonomy to give software agents in core business processes.

For developers, Boomi's Companion tool will support the design, testing, deployment and diagnosis of integrations through natural language and external AI tools. The company is also opening up ways to embed Agentstudio agents into custom applications, portals and other digital services, with the aim of placing agents inside existing work environments rather than separate interfaces.

Data context

Another part of the release focuses on the data layer behind AI services. Boomi Knowledge Hub is intended to provide a single context layer for search and retrieval across enterprise information, while Meta Hub is aimed at keeping AI outputs aligned with common business definitions.

That matters because many companies have found that AI systems often produce inconsistent answers when they rely on fragmented or outdated internal information. By tying agents and staff to the same approved data sources and terminology, vendors are trying to make AI outputs more predictable and easier to audit.

On infrastructure, Boomi will let organisations deploy agents on premises through a Distributed Agent Runtime, keeping sensitive data behind a company firewall. It is also introducing multi-region instances for Agentstudio so metadata and runtime execution can remain within specified regions, which may appeal to companies with privacy or compliance requirements.

Ed Macosky, Chief Product and Technology Officer at Boomi, described the update as part of a broader effort to unify data, workflows and AI governance.

"Every enterprise transformation has a platform moment. For agentic AI, that moment is now," said Ed Macosky, Chief Product and Technology Officer, Boomi. "Customers don't need more disconnected tools, they need an active data foundation that connects data, orchestrates workflows, and governs AI for people and agents. With these new innovations, we're extending the Boomi Enterprise Platform to make that foundation a reality."

Boomi framed the release around a common problem in enterprise AI deployments: many businesses have run pilot projects successfully but struggled to expand them because data remains trapped in separate systems and governance is spread across different tools. In that setting, adding more agents can raise operational and compliance questions rather than solve them.

Analysts have increasingly pointed to orchestration and governance as the next battleground in enterprise AI software. Businesses are moving beyond testing chatbots and assistants and starting to examine how agents can execute tasks across finance, customer service, operations and software development. But that shift also increases the need for controls over cost, behaviour and data access.

Alexander Wurm, Principal Analyst at Nucleus, said the market was moving in that direction.

"The market is rapidly shifting toward platforms that can support not just connectivity, but governed execution across AI-driven workflows," said Wurm. "As enterprises move beyond experimentation, the ability to orchestrate data, APIs, and agents within a unified architecture is becoming a critical requirement for scaling AI."

Boomi also cited customer feedback from Suffolk, which has had early access to Boomi Orchestrate through a design partner programme.

"Through our participation in Boomi's design partner program, we've had early exposure to Boomi Orchestrate and its potential to simplify how we design and execute complex workflows," said Venkata Kalikrishna Chekka, Senior Manager, Enterprise Integration Solutions, Suffolk. "The ability to bring together integrations, APIs, and emerging AI-driven capabilities into a unified orchestration layer is a meaningful step forward. It gives us a more flexible foundation to streamline operations and explore how agent-driven processes can drive greater efficiency across the business."

Steve Lucas, Chairman and CEO at Boomi, linked the announcement to the company's wider customer base and position in the integration software market.

"We're entering the next phase of enterprise AI, where success won't be defined by how many agents you deploy, but by how well they are connected, governed, and grounded in trusted data," said Steve Lucas, Chairman and CEO, Boomi. "With more than 30,000 customers and AI guided by hundreds of millions of integrations, we're helping organisations move from connected and automated to fully agentic, and turn AI into real operational impact."