Boomi and Couchbase have formed a partnership to help companies move AI agents from pilot projects into production. The deal centres on combining Boomi’s software for connecting and governing AI agents with Couchbase’s data platform.

Many businesses have found that AI agents can perform well in trials but become harder to manage at scale when they lack reliable access to business data, persistent context and oversight. Weak governance and limited audit trails can also raise computing costs and reduce the value of deployments.

Under the partnership, the companies plan to co-engineer products that combine data connectivity, agent runtime tools and governance controls with data storage, retrieval and recollection functions. The goal is to give customers a single software stack for building and running AI agents in business settings.

Boomi said its platform already supports more than 90,000 AI agents in enterprise production environments, including in Australia and New Zealand, with thousands more being prepared for deployment.

The scaling issue

The announcement reflects a broader shift in the AI market as companies try to turn experimental systems into operational tools used in day-to-day business processes. A common obstacle is that agents often need access to current data from multiple systems while retaining context from earlier interactions.

Without that combination, responses can be inconsistent or disconnected from the underlying records businesses rely on. Companies are also under pressure to show how decisions are made, what data has been used and whether an agent’s actions can be monitored after the event.

Boomi’s role in the partnership is to provide integration across applications, application programming interfaces and data sources, along with tools for managing the lifecycle of AI agents. Couchbase is contributing the underlying data layer for real-time access, semantic retrieval and what it describes as trusted recollection.

The joint approach is designed to let agents work on live enterprise data, retain context across interactions and operate under governance controls suited to production environments. Memory queries, retrieval steps and agent actions would also be observable and auditable through Boomi’s control tools.

Ed Macosky, Chief Product and Technology Officer at Boomi, said the partnership was intended to solve a practical problem for enterprises deploying AI systems.

“2026 is the year organisations move from AI experimentation to activation at scale,” said Ed Macosky, Chief Product and Technology Officer, Boomi. “The challenge isn’t building agents, it’s giving them the data, memory, and governance they need to operate in real enterprise environments. By partnering with Couchbase, we’re delivering a unified foundation that enables AI to run securely, efficiently, and at scale, with the trust and control our customers expect.”

Single stack

The combined offering is intended to address four areas that have become central to enterprise AI projects: speed of access to data, state and context; grounding agent responses in business information held in operational systems; governance, including observability and auditability; and simpler deployment through one integrated stack rather than separate tools.

That last point speaks to a frequent complaint from corporate technology teams, which often have to combine software from different suppliers when building AI applications. Managing interfaces between connectivity layers, model runtimes, governance systems and vector databases can create technical and operational complexity.

Couchbase said customers want to build agentic applications on top of data systems already used in core business workloads. It framed the partnership as a way to extend existing operational data environments into AI use cases that require both retrieval and control.

Barry Morris, Chief Product and Strategy Officer at Couchbase, said customers wanted to use their existing data foundations for AI-driven applications.

“Customers are looking to drive revenue growth, operational efficiency, and competitive advantage through agentic applications,” said Barry Morris, Chief Product and Strategy Officer, Couchbase. “They have obtained the availability, distributed scale, and performance that Couchbase has delivered in mission-critical environments for more than a decade, and are now looking to deploy agentic applications that exploit that foundation. Together with Boomi, we’re delivering trusted data access, recollection, and enterprise-grade governance, making it easier for organisations to operationalise AI across the business.”

The partnership underlines how suppliers in the AI software market are positioning themselves around operational concerns rather than model development alone. For enterprise buyers, the challenge is becoming less about testing whether generative AI works and more about whether systems can be connected to trusted data sources, monitored effectively and run within existing control frameworks.

Boomi and Couchbase are betting those requirements will shape the next phase of enterprise AI adoption, particularly among companies that want agents to handle work tied to live business records rather than isolated pilot tasks.