Boomi unveils Meta Hub & EU instance for AI agents

Boomi has expanded its Enterprise Platform with new data-activation features for large organisations using AI agents, including a new European platform instance designed for local control.

The release adds Boomi Meta Hub, a semantic layer; expands SAP data movement options with change data capture; and introduces new governance and audit tools for agentic workflows. Boomi also added features that recommend how to integrate AI agents within customer environments.

Data activation is the process of preparing and distributing data across systems in a form usable for analytics, automation and AI. Integration and data-management vendors have increasingly framed data quality, context and governance as prerequisites for production AI deployments.

"Last year, Boomi helped enterprises move from experimentation to execution. What we're seeing now is clear: AI only delivers value when data is properly activated, trusted and governed first," said Steve Lucas, chairman and CEO of Boomi. "Organisations don't need more pilots, they need action-ready data. With these innovations, we're providing the infrastructure to put data in motion, ensuring agents are grounded in context and every action is governed with precision."

Meta Hub

Boomi Meta Hub is positioned as a shared source of truth that adds semantic context for AI agents and human users. Building on Boomi's master data management and connectivity products, it serves as a central system of record for data definitions and business logic across the organisation.

Boomi says Meta Hub reduces inconsistent interpretations when different applications and teams rely on their own definitions. It also positions the semantic layer as a foundation for AI agents that must operate within business rules, rather than on isolated datasets.

European instance

A dedicated European platform instance is another core element of the release. Boomi says it is regionally independent, with customer data, metadata and runtime execution kept within European boundaries under the General Data Protection Regulation.

Data residency remains a key consideration for customers in regulated sectors, and has become a differentiator among cloud and data-platform providers as organisations reassess where sensitive data is stored and processed.

SAP extraction

Boomi also updated its SAP data connector, which now supports real-time extraction through change data capture.

The update adds multi-table ingestion and near real-time updates-common requirements for analytics pipelines and operational dashboards that rely on SAP data. Boomi says the approach avoids custom development and improves the freshness of SAP data landing in cloud or lakehouse environments.

Agent oversight

Governance and observability for agentic workflows are another focus. Boomi added governance for Snowflake Cortex Agents within its Agentstudio Agent Control Tower, and introduced Agent Session Logs for auditing and review.

It also expanded monitoring with Custom Provider Observability Metrics. Boomi says the feature can register agents from more than 30 custom providers in a single console, tracking latency, errors and token consumption.

Agent usage logging and monitoring have become more prominent as organisations test systems where software agents take action across enterprise applications. Buyers are increasingly asking for controls that mirror existing compliance and audit practices used for human access and automated scripts.

Integration guidance

Boomi added AI Agent Recommendations, described as guidance tailored to each customer environment. The feature surfaces design patterns for agent integration and workflow design.

Vendors across the data and automation stack have started packaging advisory workflows into products, reflecting demand for repeatable deployment models after early pilots. For many organisations, agent roll-outs require both technical and governance design, including how actions are authorised and recorded.

Industry commentary accompanying the announcement emphasised the role of context in production deployments. "Enterprises are getting serious about accuracy as they move into production with agentic AI," said Kevin Petrie, vice president and head of Data Management Practise at BARC. "Boomi Meta Hub helps achieve the accuracy needed. It minimises hallucination risk by integrating diverse metadata into governed context for agent decisions and actions. This ensures that AI-driven workflows are grounded in the nuanced business reality of the enterprise."

Boomi said the new capabilities will be available in March 2026.