Boomi & Red Hat team up for agentic AI stack

Boomi and Red Hat have agreed to work together on an integrated software stack for deploying agentic AI. The partnership centres on combining Boomi Agentstudio with Red Hat AI.

The aim is to give organisations a single system for building, governing and running AI agents, instead of relying on a patchwork of separate products for orchestration, model access, integration, security and oversight.

The tie-up reflects a broader push by technology suppliers to address one of the main obstacles to wider generative AI adoption in large companies: moving from pilot projects to operational systems without creating new risks around data handling, governance and spending.

Many businesses are trying to assemble AI environments from disconnected vendors, a process Boomi argues can create weak points in security controls and make costs less predictable. Under the collaboration, Boomi's software for creating and managing AI agents will sit alongside Red Hat's AI platform and hybrid cloud tools.

Data controls

According to the companies, the combined approach is designed to connect AI agents to live enterprise data across applications and business processes. It is also intended to provide policy controls and visibility into how agents operate within more complex workflows.

Infrastructure choice is another focus. Red Hat said its AI environment can run across hybrid cloud deployments, including sovereign data centres, which may appeal to organisations that want to keep sensitive data within specific jurisdictions or controlled environments.

Boomi's contribution includes Agentstudio, as well as Agent Control Tower and Gateway, which are designed to enforce rules around agent behaviour and provide monitoring. Red Hat AI, meanwhile, brings an open source-based foundation, application observability services and a Kubernetes-based runtime for AI workloads.

Cost focus

The companies also pointed to cost management as a selling point. Boomi said its model-routing technology can direct prompts to different AI models in real time based on task complexity and data sensitivity, with the goal of avoiding unnecessary spending.

That issue has become increasingly important as businesses test multiple large language models and AI services, often with limited visibility into how usage patterns affect budgets. In response, suppliers have positioned governance, observability and model-selection tools as core parts of AI deployment rather than optional extras.

For Red Hat, the agreement also fits its long-standing focus on open source software and hybrid cloud infrastructure. The company has been expanding its AI offering as customers seek ways to run models and applications across on-premise systems, private cloud environments and public cloud services.

Enterprise shift

Boomi, known primarily for integration software, has been broadening its product set into data management and AI orchestration. The collaboration suggests it sees AI agents as a natural extension of its role connecting applications, data sources and business processes across large organisations.

In practical terms, the two groups are targeting companies that want AI systems to interact with operational data rather than remain confined to isolated test environments. That could include pulling information from multiple enterprise systems, triggering actions across workflows and applying governance rules as those actions are carried out.

Executive views

Steve Lucas set out Boomi's view of the market challenge in a statement on the deal.

"Every enterprise leader I talk to is asking the same question: how do I get real AI ROI without losing control of my data, my security posture, or my budget?" said Steve Lucas, Chairman and CEO, Boomi. "The answer isn't stitching together dozens of vendors; it's having a unified platform. With Red Hat, we're giving organisations the ability to activate their data, orchestrate AI across the business, and run it with enhanced security in their own environment at a cost that makes AI viable at scale."

Red Hat described the partnership as part of a wider shift in how AI is deployed across companies.

"The next era of the enterprise will be defined by those who can move AI from a centralised experiment to a distributed business reality," said Mike Ferris, Chief Strategy Officer and Chief Operations Officer, Red Hat. "By combining Red Hat's enterprise open source AI foundation with Boomi's agentic orchestration, we are helping organisations with the architectural sovereignty to lead in AI without compromising their data, their costs, or their future autonomy."

The companies said the combined foundation is intended to replace fragmented systems with a more unified approach that can reduce complexity and lower operating costs while keeping enterprise data within controlled environments.