Boomi Delivers the Critical Infrastructure That Brings Control to Enterprise AI

Boomi, the data activation company for AI, 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.

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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.

Organizations should not have to choose between moving fast on AI and keeping control of their data and infrastructure. AI agents need deep access to core transactional systems such as Salesforce, SAP, Oracle, and Workday to deliver real business value, but granting that access without dedicated policy enforcement and strict boundary controls exposes critical corporate intellectual property to public models and unauthorized data leaks. This balance of control is the largest unmanaged risk in enterprise technology today. That lack of governance is precisely why so many AI initiatives stall in the pilot stage, and why agents already in production run without security auditability or clear financial accountability.

Independent research quantifies both halves of the problem:

• Governance. Gartner predicts that “by 2027, 40% of enterprises will demote or decommission autonomous AI agents due to governance gaps identified only after production incidents occur.” Gartner also states that “Applying uniform governance to all AI agents, regardless of their autonomy level and scope, can lead to enterprise AI agent failure.” (Gartner, May 2026).*(Gartner, May 2026).
• Cost. In the FinOps Foundation’s 2026 State of FinOps survey of 1,192 practitioners representing more than $83 billion in annual cloud spend, 98% said they now manage AI spend, up from 31% two years earlier, making AI cost management the most in-demand skill in the discipline (FinOps Foundation, February 2026).
• Trust. In “The Agentic AI Readiness Gap,” a Forrester Consulting thought leadership paper commissioned by Boomi in July 2026, 86% of leaders said their organizations had moved beyond AI agent pilots, but only 34% said they trust the actions their agentic systems take. Organizations that deployed agents before they were ready reported an average of $2.1 million in added cost.

“The governance conversation has shifted from model risk to execution risk. Enterprises are no longer primarily worried about what an agent says. They are worried about what it does to a general ledger or a customer record, what that action cost and whether anyone can reconstruct the decision six months later in an audit. Cloud and model providers each govern their own estate, which leaves the average enterprise holding several partial audit trails and no complete one. The organizations getting this right are putting enforcement in the path between the agent and the system of record, rather than alongside it.”
—Michael Barnes, Chief Analyst, Enterprise IT, Omdia

Operationalizing AI Through a Vendor- and Model-Neutral Safety Harness

Boomi’s Agent Control Plane acts as a vendor- and model-neutral control point sitting directly between any AI agent, model or app — whether built on Boomi, third-party, or open-source frameworks — and the transactional systems that run the business. Instead of locking companies into a single proprietary cloud ecosystem, Boomi provides control over agent execution while preserving the freedom to evolve an AI strategy over time.

Boomi operationalizes enterprise AI across six core business scenarios:

1. Govern agent actions and control sprawl

Boomi helps organizations reclaim control over fragmented, multi-vendor AI adoption through a single control point that centralizes visibility for agents and tools, inspects live traffic, applies identity and rate limits, curbs token overruns and cost surges, and holds high-risk transactional actions for human approval. The Agent Control Plane provides the visibility layer; the Boomi AI Gateway, built on technology from Boomi’s recent acquisition of Lunar.dev, will act as the enforcement layer, combining MCP gateway and LLM gateway capabilities in one control point.

2. Connect AI to enterprise systems safely

Boomi provides governed agent connectivity. Boomi Connect exposes enterprise systems as governed MCP servers and tools that MCP-compatible agents can discover and call, so employees can safely adopt AI tools like Claude, ChatGPT, and Gemini. Business professionals across functions get instant access to more than 1,000 pre-built MCP servers and tools instead of building and maintaining custom connectors. Boomi Connect applies governance by provisioning access through existing identity providers and authenticating, logging, and metering tool calls. (Boomi Connect and MCP Gateway)

3. Run agents behind your own firewall

Boomi gives organizations deployment flexibility through its hybrid runtime architecture, securely running agents, tools, bring-your-own models and specialized small language models** within private networks and regional boundaries. That lets enterprises comply with data sovereignty mandates, keep sensitive intellectual property behind the corporate firewall, and optimize compute costs. (Runtime)

4. Ground answers in business truth & lineage

Boomi reduces agent hallucinations and token waste by grounding reasoning in expert-endorsed business definitions and end-to-end data lineage, giving enterprises visibility into data provenance for AI-driven actions. (Agent Context)

5. Turn intent into approved workflows

Boomi addresses the pressure to show measurable AI return beyond basic chatbots by letting non-technical teams compose multi-system agentic workflows in natural language. Each solution is presented in two views — a business view of the logic and a technical view of the implementation — so business and IT teams align on the same agentic solution, staged for testing and review before it goes live. (Boomi Orchestrate)

6. Open the platform for builders

Unlock the Boomi Enterprise Platform’s full power through expanded APIs and innovative developer tools. Orchestrate, manage, and extend workflows across agent development, data management, and platform operations all through natural language. Emerging capabilities like agent trust scoring showcase what is now possible. (Boomi Agentstudio APIs, Boomi Companion skills, Agent Trust Scorecard)

“Two years ago, 31% of FinOps practitioners were managing AI spend. This year it is 98%. Finance has arrived in the middle of every AI conversation, and it is asking three questions most architectures cannot answer: which agent spent this, on what, and who approved it. Until an enterprise can answer those questions, AI is an expense nobody can defend, and what cannot be defended does not get funded. That is what Boomi’s Agent Control Plane changes: agents visible, actions governed, dollars attributable, running wherever the business requires it to run. Control is not the brake on enterprise AI. It is what makes scale possible.”
— Steve Lucas, chairman and chief executive officer, Boomi

Built on a Foundation of Trust

Boomi provides the critical AI infrastructure that powers the agentic enterprise. More than 30,000 customers trust the platform to process over 200 billion messages a quarter, and it holds more than 16 security certifications covering the regional and industry standards regulated enterprises operate under. Because the connections to core systems are already in place, governed and audited, Boomi transforms the infrastructure enterprises already depend on into the foundation their agents run on.

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