Lyzr Launches Agent Control Plane to Move Enterprise AI Agents From Pilot to Production

Lyzr launched the Lyzr Agent Control Plane, a deployment and governance layer that takes enterprise AI agents from a working prototype to governed production. The product is aimed at the problem that has stalled most corporate AI programs over the past two years: companies can build agents, but they cannot reliably ship them, secure them, or prove what they do once they are live.

The launch reflects a clear point of view from Lyzr’s leadership about where enterprise AI is heading. For the past two years, the industry measured progress by how many agents a company could build. Lyzr’s founders argue that the next phase will be measured by something harder: how many agents a company can run in production without losing control of cost, security, or accountability.

A problem the market is only now naming

The evidence that building is no longer the bottleneck is now well documented. Research from Forrester and Anaconda, supported by IDC, indicates that roughly 88 percent of AI agent pilots never reach production. Gartner has predicted that more than 40 percent of agentic AI projects will be cancelled by the end of 2027, citing rising costs, unclear value, and weak risk controls.

In most cases, the cause is not the model. The agent works in the demo. What fails is everything around it. Deployment gets hand built. Approvals happen over chat and email rather than through a defined process. Security is brought in at the end, if at all. There is no clean way to roll back when something breaks, and no shared record of which agents are running or who owns them.

Built to fit how enterprises already work

Lyzr Control Plane is built to fit the way enterprises already operate rather than force them to start over. A company connects a code repository in GitHub or Azure DevOps, and a code push triggers the full pipeline automatically: security and vulnerability scanning, a container build and scan, deployment to a supported cloud runtime, a health check, identity registration, and an automated evaluation suite. Every deployment is version tagged, so a rollback is a return to a known version rather than a scramble.

Two decisions sit at the center of the design, both meant to protect investments enterprises have already made. The Control Plane is framework agnostic, accepting agents built with LangGraph, CrewAI, Strands, the Lyzr SDK, or proprietary code, all moving through the same path and appearing in one shared catalog. It is also cloud agnostic, deploying into AWS Bedrock AgentCore or Google Cloud’s Vertex AI Agent Engine so that agents run inside the customer’s own environment, which keeps data privacy and sovereignty intact.

The step most relevant to risk teams is what happens before an agent reaches live traffic. Agents are never deployed straight to production. They first run in a non-production environment, where an automated suite checks Responsible AI policy compliance, factual accuracy, and response quality. Only after an agent clears those checks does the system open a pull request to the production branch for designated approvers. If it fails, the platform removes every resource it created, logs the reasons, and returns the findings to the team.

The governance angle enterprise leaders care about

For Lyzr’s leadership, the governance layer is the part of the launch that matters most to the people signing off on enterprise AI.

Once an agent is live, it is registered automatically in the Lyzr Agent Registry, a single record of everything running across the organization, including version, framework, target cloud, status, and full deployment history. Each agent also receives its own identity through Okta, tied to its registry entry, which gives security and compliance teams fine-grained access control and an audit trail for every action an agent takes. When an agent is retired or fails its evaluation, its identity is revoked and cleaned up.

The need is real and measurable. One 2026 security survey found that 82 percent of executives were confident their policies protected against unauthorized agent actions, while only 14.4 percent of organizations were actually sending agents to production with full security or IT approval. Lyzr built the Control Plane to close that distance between confidence and control.

A deliberate position on where enterprise AI is going

Lyzr describes the Control Plane as the Vercel for AI agents, and the comparison is intentional. Vercel made shipping a website routine by reducing it to a code push, hiding the servers and configuration that used to consume a developer’s time. Lyzr is applying the same idea to agents, so that the work of deploying and governing them becomes standard infrastructure rather than a project every team reinvents.

That framing is also a statement about Lyzr’s roadmap. The company has spent its history helping enterprises build agents. With this launch, it is moving down the stack into the layer that decides whether those agents ever earn their keep.

“For the last two years, the conversation has been about how many agents you can build. The next two years will be about how many you can safely run,” Surendira said. “We built the Control Plane for that world, because it is the one every serious enterprise is walking into whether they are ready or not. The winners will not be the companies with the most pilots. They will be the ones that learned to treat agents like part of the workforce, with the structure that word implies.”

Availability

The Lyzr Agent Control Plane is available now, with support for additional cloud runtimes and on-premise deployments as enterprise requirements expand.