The vendor, which began as a data integration specialist but now focuses on enabling customers to activate their data for AI, on Tuesday launched the Agent Control Plane. The new layer brings previously disparate Boomi capabilities together in a single environment and is designed to provide customers with capabilities that enable them to connect AI agents with business systems, govern agents in production and rein in spending on AI.
Keeping control over agents and the cost of doing so are rising concerns for many enterprises as they try to move past experiments with AI and put agents into production. Boomi's Agent Control Plane is therefore a valuable addition for the vendor's users, according to Michael Ni, an analyst at Constellation Research.
"Boomi is making a bid for one of the more valuable control points in enterprise AI, the layer between agents and the systems where business actually gets done," he told TechTarget. "As companies add more models and agents, they need a way to control what those agents can access, what they can do and what they cost."
Boomi is not the only vendor adding tools aimed at giving customers better control over their agents, Ni continued, noting that AWS, Salesforce and ServiceNow are among the others that also provide features for orchestrating agents. However, Boomi's integration capabilities give it a foundation from which to build a control plane for agents that could help it compete for market share.
"The idea of an Agent Control Plane is quickly becoming a crowded but strategic land grab," Ni said. "Boomi's advantage is … to turn its footprint into a neutral data activation layer where enterprise data can be contextualized, governed and acted upon across models and platforms."
Control vs. chaos
Agents that are improperly overseen can cause serious problems.
For example, an agent powered by Anthropic's Claude large language model deleted a company's entire production database last April. Two months earlier, another agent allegedly wrote a blog post defaming a developer after the developer rejected the agent's code contribution. Beyond headline-grabbing mishaps, agents that aren't closely controlled can drive up an organization's spending by getting caught in recursive loops and consuming unlimited amounts of tokens.
Boomi is making a bid for one of the more valuable control points in enterprise AI, the layer between agents and the systems where business actually gets done. As companies add more models and agents, they need a way to control what those agents can access, what they can do and what they cost.
Michael NiAnalyst, Constellation Research
Gartner predicts that by the start of 2027, 40% of organizations will demote or decommission agents due to a lack of proper governance.
Boomi's Agent Control Plane is designed to provide the governance enterprises need to trust that their AI tools appropriately connect to enterprise systems such as Salesforce and Workday, act only as intended in production, and do so within an expected spending range.
As a result, though other vendors are similarly addressing AI governance, Boomi's control layer for agents is significant for its customers, according to Stephen Catanzano, an analyst at Omdia, a division of TechTarget.
"The Agent Control Plane represents a big addition because it addresses what Boomi identifies as the largest unmanaged risk in enterprise technology today, [which is] giving AI agents the deep access they need to transactional systems while maintaining governance, cost control, and security that most organizations currently lack," he told TechTarget.
Meanwhile, there is some potential differentiation between Boomi's approach to governing AI and competing capabilities from Salesforce through MuleSoft, AWS and specialists such as Apigee, Catanzano continued.
"Boomi seems to be betting that their unified approach sitting between any agent and any system, rather than being tied to a single cloud ecosystem, provides the differentiation," he said.
Boomi's Agent Control Plane is designed to be flexible, running across public clouds, customers' virtual private clouds and on-premises environments. In addition, it supports data and digital sovereignty to ensure that customers remain compliant with the rules and regulations where their information is created.
The Agent Control Plane combines pre-existing Boomi capabilities to provide the following:
A single, centralized location for overseeing agents and tools across platforms, including putting limits on token consumption and stopping high-risk actions until they have human approval.
Enforcement through the Boomi AI Gateway, which combines MCP Gateway and LLM Gateway in one control panel and is built on the technology the vendor acquired when it bought Lunar.dev.
Governed connectivity through Boomi Connect MCP servers so that agents can safely call on enterprise systems to inform their actions.
Deployment flexibility via a hybrid runtime architecture to adhere to data sovereignty rules, secure sensitive information and control spending.
Data semantics and lineage to ground agent reasoning with approved data.
Natural language processing capabilities in Boomi Orchestrate so that non-technical teams can build agentic AI workflows.
"This came directly from what we were hearing in a critical mass of customer conversations, not from a single feature request," Ed Macosky, Boomi's chief product and technology officer, told TechTarget.
User feedback consistently included concerns over increasing spending on AI, difficulty connecting agents with disparate transactional systems and fear of losing control over intellectual property once it's accessed by agents, he continued.
"The Agent Control Plane exists because enterprises shouldn't have to choose between moving fast on AI and keeping control of their data and infrastructure," Macosky said.
Meanwhile, Boomi's control layer for AI appears logically constructed by combining centralized visibility with enforcement capabilities, deployment flexibility and data lineage, according to Catanzano.
"The architecture directly maps to the three problems Boomi highlights -- governance gaps that cause production incidents, runaway token costs that have made AI spend management the most in-demand FinOps skill, and trust deficits," he said.
Ni likewise noted that the Agent Control Plane features the capabilities needed to provide Boomi's customers with a single environment for governing AI. In addition, it does so by combining tools that have already been proven to work.
"Boomi has put the major pieces together and built on areas where it already has known strengths," Ni said. "Boomi's next step will be to go deeper into runtime context and managing agents across their full lifecycle. ... That becomes increasingly important as enterprises move from experimenting with agents to operating them at scale."
Looking ahead
After launching the Agent Control Plane , Macosky said that Boomi's product development plans for the rest of 2026 focus on improving AI governance across providers and models, broadening its partnership network to add openness, and enhancing basic platform features such as security and reliability.
One specific way the vendor could better serve its customers would be to add tools that show whether agents in action delivered their desired outcome, according to Ni.
"Boomi already connects the data, exposes the tools, governs the agent and orchestrates the action. Now it needs to show whether that action delivered the desired business outcome, then use that feedback to improve the next decision," he said. "That would make Boomi’s positioning around data activation more tangible to CIOs and business leaders."
Catanzano similarly suggested that Boomi expand beyond governance and connectivity to measure and improve the business outcomes generated by agents.
"Boomi could continue serving users and attract new ones by … helping organizations not just control what their agents do, but systematically improve how well they do it through analytics that connect agent actions to actual business metrics," he said.
Eric Avidon is a senior news writer for Informa TechTarget and a journalist with more than three decades of experience. He covers analytics and data management.
