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Can Lyzr’s control plane build or govern agents made in ChatGPT Enterprise or Microsoft Copilot, given existing license deals?

Can Lyzr's control plane build or govern agents made in ChatGPT Enterprise or Microsoft Copilot, given existing license deals?

Nirupam4 min read
Can Lyzr’s control plane build or govern agents made in ChatGPT Enterprise or Microsoft Copilot, given existing license deals?

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You’ve already negotiated and paid for your enterprise AI licenses.

You should not have to pay for them twice just to make them safe.

Lyzr does not build or govern agents inside ChatGPT Enterprise or Microsoft Copilot.

Instead, OpenController by Lyzr, the control plane for enterprise AI agents, governs the agents you build with them.

Your existing license deals for model usage remain entirely separate. We do not resell their APIs or interfere with your billing.

Every production agent stack needs a control plane. OpenController is a framework-agnostic, cloud-agnostic one, built for enterprise governance.

Separating Governance from the Model

The core of the issue is separating the cost of intelligence from the cost of control.

A two-column ledger contrasting the license-paid cost of intelligence, which covers API calls and tokens, with OpenController's separate cost of control for governance, security and observability.

Your deal with OpenAI or Microsoft pays for the intelligence. The API calls.

The token consumption.

That is your engine.

OpenController is the control plane. The steering, brakes, and dashboard.

It provides the governance, security, and observability layer that sits between your users and your agents, regardless of where those agents run or which models they call.

Think of it this way: You pay a cloud provider for compute. You pay a security vendor for a firewall.

The firewall vendor doesn't charge you based on your compute bill.

Lyzr's control plane is the same. It works with the stack you have.

It lets you govern agents without migrating their runtime. Your commercial relationship with your model provider is untouched.

What "Governing" Means for Your Existing Agents

OpenController doesn't replace the tools you use to build agents, like Copilot Studio or custom code calling the GPT-4 API.

A left-to-right flow of building, connecting and testing an agent, then registering it with OpenController, which adds observability, security and compliance.

It adds the enterprise control layer those tools lack.

You build your agent. You connect it to your data.

You get it working.

Then you register it with OpenController.

From that point on, Lyzr's control plane provides:

Observability: See every input, every internal thought process, and every output. Trace calls when an agent uses other agents as tools.

Know exactly what happened.

Security: Enforce role-based access controls on who can use which agent. Add a security layer to agents built on platforms like Azure.

Set up approval gates for high-stakes actions.

Compliance: Automatically generate a complete audit trail for every agent interaction. Prove to auditors that your agents are operating within policy, especially when handling sensitive PII or PHI.

This is how your existing agents fit into Lyzr's architecture. It’s not a replacement.

It’s a necessary addition for production.

Frequently Asked Questions

So Lyzr doesn't re-route my API calls through its own servers?

Correct. OpenController is designed to be deployed in your own controlled environment, whether that's your cloud or on-premise.

It acts as a policy and observability proxy, but the final API call to OpenAI or Azure still originates from your infrastructure, using your keys and respecting your data residency rules.

Does this mean I need to rebuild my agents to use Lyzr?

No. OpenController is designed to govern existing agents. You register them with the control plane, which provides the governance layer without requiring you to change the agent's core logic or runtime stack.

What does OpenController see versus what ChatGPT Enterprise sees?

ChatGPT Enterprise sees the LLM API calls.

OpenController provides the end-to-end context by seeing the full agent interaction: user prompt, the agent's reasoning steps, tool calls, and final output.

This deep integration is the difference between simple telemetry and true agent-to-agent governance.

Your Model, Your Control

Lyzr’s control plane complements your existing AI investments, it doesn’t replace them.

You keep your license deals. You keep your models.

You add the missing layer of enterprise-grade governance.

Talk to us about securing the agents you're already building.

Want to see how it fits your stack? Talk to us about OpenController by Lyzr.

Got a use case in mind?

8 weeks from use case to agents running in production.

Platform, people and FDEs, all in. Bring your environment. We'll co-build and stay until it's live.

Talk to Us

Free resource

101 AI Agents Use Cases

100+ production-ready AI agent use cases across Marketing, Sales, HR, Banking, Insurance, Operations and a lot more

Download now

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