Boomi has unveiled a major expansion of the Boomi Enterprise Platform during Boomi World 2026, introducing new capabilities designed to help organizations scale agentic AI workflows, govern AI agents, and activate enterprise data more efficiently.
The latest updates focus on enabling what Boomi calls the “agentic enterprise,” where AI agents and human teams work together through orchestrated workflows, real-time data access, and governed automation across enterprise systems.
According to Ed Macosky, enterprises are reaching a critical point in AI adoption as businesses move toward AI-driven operations and machine communication standards like the Model Context Protocol (MCP). However, fragmented systems, disconnected tools, and rising cloud costs continue to hinder large-scale AI deployment.
To address these challenges, Boomi introduced enhancements across five major areas: governed agent connectivity, orchestrated agentic workflows, agentic engineering, grounded agent context, and localized agent infrastructure.
Among the new capabilities is Boomi Connect, which provides secure connectivity between AI platforms such as Claude, Copilot, and Gemini and enterprise applications through more than 1,000 managed MCP-enabled tools. The platform also introduces AI governance features including policy enforcement, cost controls, and observability through Boomi AI Gateway.
Boomi also launched Boomi Orchestrate, allowing business and IT teams to create AI-driven workflows using natural language while combining APIs, integrations, event streams, and agents into a unified orchestration layer.
Other additions include Agent SIM for testing agent behavior before deployment, Boomi Companion for AI-assisted integration development, and enhanced APIs for embedding Boomi agents into enterprise applications and digital platforms.
To improve AI accuracy and governance, the company introduced Boomi Knowledge Hub and Meta Hub, designed to eliminate knowledge silos and provide AI agents with trusted and up-to-date enterprise data and business definitions.
Boomi also expanded support for localized AI infrastructure through Distributed Agent Runtime and multi-region Agentstudio deployments, enabling organizations to keep sensitive data on-premises while maintaining regional compliance and reducing cloud latency.
Steve Lucas said the future of enterprise AI will depend not on the number of deployed agents, but on how effectively organizations connect, govern, and ground those agents using trusted enterprise data.
Industry analysts noted that enterprises are increasingly looking for unified platforms capable of orchestrating AI agents, APIs, and enterprise data securely at scale as businesses move beyond AI experimentation toward operational deployment.
