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

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

ℹ️ News provided by: Lyzr AI

Lyzr.ai Launches Control Plane

United States, 13 July 2016 — 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% of AI agent pilots never reach production.

Gartner has predicted that more than 40% 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.
  • There is 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
  • Container build and scan
  • Deployment to a supported cloud runtime
  • Health checks
  • Identity registration
  • Automated evaluation suite

Every deployment is version-tagged, so a rollback is simply 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
  • Lyzr SDK
  • Proprietary code

All agents move through the same deployment path and appear in one shared catalog.

It is also cloud agnostic, deploying into:

  • AWS Bedrock AgentCore
  • Google Cloud Vertex AI Agent Engine

This allows agents to run inside the customer’s own environment, preserving data privacy and sovereignty.

The step most relevant to risk teams is what happens before an agent reaches live traffic.

Agents are never deployed directly to production.

Instead, they first run in a non-production environment where an automated evaluation suite checks:

  • Responsible AI policy compliance
  • Factual accuracy
  • 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
  • Returns the findings to the development 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 automatically registered in the Lyzr Agent Registry, providing a single record of everything running across the organization, including:

  • Version
  • Framework
  • Target cloud
  • Status
  • Full deployment history

Each agent also receives its own identity through Okta, tied directly to its registry entry.

This gives security and compliance teams:

  • Fine-grained access control
  • Complete audit trails
  • Traceability for every action an agent performs

When an agent is retired or fails evaluation, its identity is revoked and cleaned up automatically.

The need is real and measurable.

One 2026 security survey found that:

  • 82% of executives believed their policies protected against unauthorized agent actions.
  • Only 14.4% of organizations were actually sending agents into production with full security or IT approval.

Lyzr built the Control Plane to close the gap 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 simple code push, hiding the infrastructure that developers previously had to manage.

Lyzr applies the same philosophy to AI agents, making deployment and governance part of the infrastructure rather than a custom engineering project every enterprise has to rebuild.

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 deeper into the infrastructure layer that determines whether those agents ever make it into production successfully.

“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. 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.”— Surendira

Availability

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

About Lyzr AI

Lyzr AI is an enterprise agent orchestration company that combines a comprehensive self-service platform with expert services to help organizations deploy AI agents for mission-critical functions. Founded by Siva Surendira and headquartered in New York with an engineering core in Bengaluru, India, Lyzr AI serves enterprises across banking, insurance, financial services, healthcare, and professional services. Unlike DIY open-source platforms or single-product competitors, Lyzr AI provides Forward Deployed Engineers who work directly with customers to move agents into production with enterprise-grade governance and security. The company’s open-source platform ensures no vendor lock-in while delivering the architectural innovations that materially improve the probability of AI implementation success. For more information, visit www.lyzr.ai.