Boomi Delivers the Critical Infrastructure That Brings Control to Enterprise AI
Govern AI agents, optimize token spend, and mitigate security risk to operationalize AI at scale
CONSHOHOCKEN, Pa. & SYDNEY, September 02, 2026--Boomi, the data activation company for AI, today announced major platform innovations designed to solve critical barriers to enterprise AI adoption. At the core of these updates is Boomi's Agent Control Plane, AI-native infrastructure that securely connects AI agents to core business systems, provides governance over agent activity, and controls runaway AI costs. This critical infrastructure runs flexibly across public cloud, the customer's own cloud (VPC), or on-premises, directly supporting data and digital sovereignty, and giving organizations greater operational control over their AI estate.
Key Takeaways
Boomi's Agent Control Plane provides the critical AI-native infrastructure that operationalizes agentic workloads with full control. Vendor and model-neutral, it connects AI agents to core enterprise systems, grounds execution in verified business data with full data lineage, and governs the actions they take.
According to Gartner®, "By 2027, 40% of enterprises will demote or decommission autonomous AI agents due to governance gaps identified only after production incidents occur."* Boomi's Agent Control Plane addresses the governance gap that stalls enterprise AI by centralizing visibility for agents and tools through an AI gateway enforcement layer, curbing token cost overruns and mandating human-in-the-loop approvals.
Boomi's Agent Control Plane delivers maximum flexibility and choice by securely governing agents, tools, and models across the ecosystem, including bring-your-own-models (BYOM) and specialized SLMs.** This governance operates within private networks or regional boundaries to reinforce data sovereignty, protect sensitive IP behind corporate firewalls, and optimize compute costs.
The Boomi Enterprise Platform drives measurable enterprise AI ROI by converting natural language intent directly into multi-system workflows, while opening the platform to builders through expanded APIs and agent skills, programmatic orchestration, and agent trust scoring to scale operations across the business.
The AI Governance Gap Creates a New Generation of Enterprise Risk
AI adoption is rapidly outpacing governance. Enterprises are moving agents into production faster than they can see what those agents are doing, what they cost, or what happens when one touches the wrong system. That gap introduces severe operational, financial, and security risks: unpredictable token spend, loss of proprietary intellectual property, compliance exposure, and no single view of what AI is doing inside the business. Faced with that uncertainty, many organizations fall back on the only lever they have: shutting access down. Restricting connectivity keeps the enterprise safe on paper, but it starves agents of the systems and data that make them useful, stalling AI's value.