Lyzr Agent Control Plane

The control plane for enterprise AI agents

Any framework. Any cloud. Any LLM. Governed from here. Agents built on LangChain, Agentforce, Bedrock, or anywhere else, all registered, evaluated, identity-mapped, and governed from a single control plane, without rebuilding a single one.

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Gartner Cool Vendor G2 Leader AWS ISV Forrester Category
Your Live Product
Connect agents from anywhere Every platform. Every cloud. No migration.
Run on any LLM Swap models without rewriting agents.
Simulation Engine Test every agent before it reaches production.
Observability Full trace on every agent run, in real time.
Hallucination & PII Guard Every output checked before it reaches a user.
Access & Governance Who can see, use, and modify every agent.
Audit & Compliance Every action logged. Every decision traceable.

Enterprises governing their agent estate on Lyzr

Any

Framework · LangGraph, CrewAI, custom

100%

Deployments versioned & evaluated

85%

Projects reaching production

$0

Data leaving your environment

48h

First agent through the full pipeline

The convergence problem

Your agents live everywhere. Your control plane doesn’t

Every enterprise ends up with agents scattered across frameworks and clouds. None of them talk to each other. None of them are governed the same way. The Lyzr Control Plane is the single layer that connects all of them, without moving any of them.

Agents from anywhere
Salesforce AgentforceCRM agents
AWS BedrockCloud-native
LangChain / LangGraphOSS framework
CrewAIMulti-agent
DatabricksData platform
Custom / on-premProprietary
Control Plane
Lyzr Central Plane
Registry & Identity
Evaluate & Simulate
Govern & Audit
Observe & Improve
One governed outcome
One audit trail
One policy engine
One registry
Instant rollback
Data stays yours
Compliance-ready
Five control points

Every agent passes through all five. No exceptions

Agent governance is not a policy document. It is five concrete control points, applied to every agent, regardless of who built it or where it runs.

Control Point 01
Registry — know every agent you own.
The question most enterprises cannot answer: how many AI agents are running in your organisation right now? The registry is the live source of truth. No agent ships without appearing in it.
Every agent tracked with owner, version, framework, and access scope
Searchable by team, function, or use case, stops three teams building the same agent
Registration is a gate, not a request. Unregistered agents cannot deploy
Agent Registry · 17 in production
dispute-resolver-v2.3prod
kyc-screening-agentprod
hr-onboarding-botstaging
sales-qualifier-v1non-prod
100%
Of production agents registered, owned, and versioned
Control Point 02
Identity — every agent has a name and a leash.
Most agents share credentials with other agents or human service accounts. That is a standing liability. Every agent on the Lyzr Control Plane receives its own dedicated Okta identity, scoped, attributed, and automatically revoked.
One identity per agent, every action attributable to a specific agent, not a shared key
Least-privilege access, the agent reaches only what its job needs
Automatic revocation when the agent is retired or fails evaluation
Identity · Okta per agent
dispute-resolver-v2.3active · scoped
kyc-screening-agentactive · scoped
legacy-bot-v1revoked
0
Shared credentials. Every agent is its own identity, always.
Control Point 03
Evaluation — nothing ships unevaluated.
An agent that has not been tested against your standards is a liability with a friendly interface. The evaluation gate runs automatically, RAI compliance, hallucination checks, relevance, and correctness, before any user sees a single output.
Responsible AI policy compliance checked on every deployment
Hallucination scoring against your ground truth, not a generic benchmark
Fail equals automatic rollback and cleanup. No half-deployed agents in your cloud
Evaluation Gate · running
RAI Policy Compliancepassed
Hallucination Checkpassed
Relevance Scoringrunning
Output Correctnesswaiting
85%
Ship rate. Evaluation is the structural reason why.
Control Point 04
Staged promotion — no agent skips the line.
No agent goes straight to production. Every agent clears non-prod, passes the evaluation gate, and earns an explicit human approval, before a single user sees it. What passed staging is exactly what runs in production.
Non-prod, evaluation gate, named human approval, production
Every deployment version-tagged, rollback is one command, not a fire drill
Git-native: every deployment tracked to a commit hash, fully auditable
Pipeline · Build, Simulate, Approve, Deploy
Security scanclean
Evaluation gatepassed
Approver sign-off1/2
Production deploywaiting
1-click
Rollback to any prior version tag. Any time.
Control Point 05
Observability — explain every decision.
When an agent makes a decision you have to defend, “the AI did it” is not an answer your board, your regulator, or your customer will accept. Step-by-step traces on every run. Every decision reconstructable in minutes.
End-to-end trace per agent run, reasoning, tools called, data touched
Per-step latency and cost, see where time and money go before it is a problem
Traces tied to registry and identity: which agent, owned by whom, did this, and why
Trace · dispute-resolver run #4471
Read transaction history14ms
Classify dispute type340ms
Apply refund policy120ms
Generate resolutionpassed RAI
Full
Reconstruction of every run. Every decision explainable.
Agent CI/CD

Every deployment tracked to the commit

Enterprise software has had CI/CD for decades. Agent deployments have not, until now. Lyzr’s Agent CI/CD pipeline brings the same discipline your engineers already trust for traditional software to every AI agent your team ships. Push code. The pipeline takes it from there.

Agent CI/CD Pipeline · dispute-resolver-v2.4 Pipeline running
Git Push
a71a73d
Code Scan
clean
Build Image
v2.4.3
Non-prod Deploy
healthy
Evaluation Gate
passed
Approval
signed off
Prod Deploy
live
Version history · complete audit trail
CommitMessageDeployed byWhenStatus
a71a73dImprove grounding on edge cases@priya4m agoevaluating
608472fUpdate RAI policy config@arjun2d agoprod
3bc91e2Add hallucination threshold adjustment@mei5d agoprod
d4f12a9Refund logic fix, failed eval gate@priya8d agorolled back

Git-driven. No manual handoffs.

Every agent deployment is triggered by a code push. Webhooks fire automatically, so the entire team gets the latest version the moment it clears the pipeline. No waiting on one person. No Slack messages asking whether it is deployed yet.

GitHub and Azure DevOps supported natively
Webhooks trigger the full pipeline on every push
Every team member always on the latest governed version

Every version tagged. Rollback in one command.

Every stage of the pipeline creates a version tag. Dev, staging, production, all tracked to the exact commit. When something goes wrong in production, rollback is not a fire drill. It is one command back to a known-good state.

Version tag created at every pipeline stage
Full history of who deployed what, when, and what it passed
Rollback is a revert to the prior tag. No guesswork, no downtime

Continuously improve. Ship with confidence.

Agents are not static. Your team iterates. Every improvement, a better prompt, a tighter RAI policy, a fixed edge case, moves through the same governed pipeline. No shortcuts. No shadow deployments. The agent in production is always the one that earned it.

Iterate fast, the evaluation gate catches failures before users do
Preset configuration bundles make re-deployment one click
Production always reflects what passed, never what was rushed
The difference it makes

Before the control plane, production is a guess

Most enterprise agent initiatives do not fail because of bad models. They stall, or quietly accumulate compliance and security debt, because there is no governed path from prototype to production.

Without a control planeWith Lyzr Control Plane
Deployment—Manual. Ad-hoc. Each team does it differently.✓One governed pipeline. Every agent. Every time.
Framework—Governance locked to whoever built it.✓Any framework. Same pipeline. Same governance.
Cloud—Re-engineer the whole path per cloud.✓Switch the target runtime. Pipeline adapts.
Evaluation—Hallucinations and policy violations reach users.✓Evaluation gate before production. Always.
Rollback—An incident. Manual. Nobody knows the last good state.✓One command. Any prior version tag. Instant.
Identity—Shared credentials. No attribution. No revocation path.✓Dedicated Okta identity per agent. Auto-revoked.
Audit—Something accessed our CRM at 2pm.✓Agent dispute-resolver-v2.3, owned by X, accessed Y at 14:32.
Data—Shared infrastructure. Unknown egress.✓Runs in your VPC. $0 data leaves your boundary.
Agents in production

Enterprises that made the leap

Not pilots. Production agent systems, governed from one control plane, inside the most demanding enterprise environments in the world.

Accenture
Reimagining corporate venture capital

“AgenticOS running 200+ agents, automating 15+ VC functions including deal sourcing, startup evaluation, due diligence, and investment memo generation all in production, all day, every day.”

200+
Agents in Production
15+
VC Functions Automated
Multi-agent orchestrationAgent StudioControl Plane
WTW
Reimagining retirement advisory

“Brought customers back from ChatGPT to WTW’s intelligent retirement advisor fully governed, compliant, and running in production for over a year.”

1 Yr+
In Production
100%
Compliant
BFSI complianceHallucination MgrAudit Trail
Hitachi
Marketing content at enterprise scale

“A Marketing AgentHub converting knowledge-base uploads into multi-format content blogs, eBooks, social posts automatically. What used to take weeks now happens in hours.”

4×
Content Output
Live
In Production
Content automationLyzr GPTMulti-format
First Source
BPO operations at agent scale

“A multi-agent BPO orchestration system handling customer support, compliance monitoring, and back-office processing in a highly regulated environment full traceability at every step.”

Multi
Agent System
Live
Regulated Industry
BPO automationComplianceControl Plane
Verifone
Payments intelligence, agent-driven

“Agents automating payments operations, compliance checks, and merchant support workflows with full traceability, governance, and hallucination management at every step.”

Full
Audit Trail
Live
In Production
Payments fintechGovernancePII Detection
Accenture
Reimagining corporate venture capital

“AgenticOS running 200+ agents, automating 15+ VC functions including deal sourcing, startup evaluation, due diligence, and investment memo generation all in production, all day, every day.”

200+
Agents in Production
15+
VC Functions Automated
Multi-agent orchestrationAgent StudioControl Plane
WTW
Reimagining retirement advisory

“Brought customers back from ChatGPT to WTW’s intelligent retirement advisor fully governed, compliant, and running in production for over a year.”

1 Yr+
In Production
100%
Compliant
BFSI complianceHallucination MgrAudit Trail
Hitachi
Marketing content at enterprise scale

“A Marketing AgentHub converting knowledge-base uploads into multi-format content blogs, eBooks, social posts automatically. What used to take weeks now happens in hours.”

4×
Content Output
Live
In Production
Content automationLyzr GPTMulti-format
First Source
BPO operations at agent scale

“A multi-agent BPO orchestration system handling customer support, compliance monitoring, and back-office processing in a highly regulated environment full traceability at every step.”

Multi
Agent System
Live
Regulated Industry
BPO automationComplianceControl Plane
Verifone
Payments intelligence, agent-driven

“Agents automating payments operations, compliance checks, and merchant support workflows with full traceability, governance, and hallucination management at every step.”

Full
Audit Trail
Live
In Production
Payments fintechGovernancePII Detection
1 / 5
What leaders say

Words from the people who made the call

“

Every AI vendor we spoke to had great demos. Lyzr was the only one that could articulate, and then deliver, what happens after the demo. That is a fundamentally different conversation.

VP of Technology
Accenture Ventures
“

We needed a governed path from prototype to production that our security and compliance teams would sign off on. Lyzr was the only platform that had the architecture to back the promise.

Head of AI Infrastructure
Global Financial Services Enterprise
“

From 0 agents in production to 17 in six months. The pipeline made it repeatable. The evaluation gate made it trustworthy. We stopped having the governance conversation and started having the value conversation.

Chief Digital Officer
Enterprise Technology Leader
Recognized by
Gartner Cool Vendor 2024
G2 Leader · AI Agents
AWS ISV Accelerate
Google Cloud Partner
IDC Innovator
Forrester · Agent Control Plane

Security & Compliance

Governed in your cloud. On your terms

SOC 2 Type IIGDPRHIPAA Ready ISO 27001VPC-nativeZero data egress SSO / SAMLOkta identity per agentImmutable audit logs CMEKAir-gap ready
48h From repo connection to a governed production deployment, for the first agent. Every one after follows the same path.
Common questions

Questions leaders ask before they say yes

No. Point the Control Plane at your existing repository. It accepts agents built with LangGraph, CrewAI, Strands, Agentforce, custom code, any framework. You own the code. Lyzr handles the entire path to production from there.
Nowhere it does not already live. The Control Plane deploys inside your own cloud environment, your AWS VPC, your GCP project. Zero data egress. For air-gapped or on-premises requirements, those are supported architecturally from day one, not retrofitted.
Yes. That is the exact use case the Control Plane was built for. Agents from different frameworks pass through the same governed pipeline, appear in the same registry, and receive their own Okta identity. One audit trail across all of them, regardless of vendor.
Everything provisioned in non-prod is automatically cleaned up, compute runtimes, container images, IAM roles, identity entries. The failure is logged with full analysis and routed back to the development team. No partial deployments. No orphaned infrastructure left running in your cloud.
48 hours from repo connection to governed production deployment, for the first agent. From there, every subsequent agent follows the same path, repeatable, not rebuilt. Lyzr’s Applied AI team can embed with your team for the first deployment if needed.
The EU AI Act requires demonstrable governance for high-risk AI systems, evidence, not policy documents. The Control Plane produces that evidence automatically: immutable deployment logs, evaluation results, approval chains, and step-level traces. Audit-ready from the first deployment.
Resources

Take something with you

Built for leaders who think before they decide.

CIO Playbook
Playbook
The CIO Playbook to AI Agent Governance
Five control points, the board case, and a scored maturity worksheet. The full framework in one guide.
Deep Dive
Blog
Control Plane vs Data Plane: What Every CISO Needs to Know
The architecture decision your security team needs to make before deploying at scale.
Assessment
Tool
AI Agent Sprawl Audit
29 questions. 5 minutes. Find the agents hiding in your enterprise and score your governance exposure.
“

Most enterprise AI initiatives do not fail because of bad ideas. They stall because there is no governed path from a working demo to production. The Control Plane is that path. And when deployment becomes predictable, scaling stops being the bottleneck.

Siva Surendira · Founder & CEO, Lyzr AI

Your agents are built. Now govern them.

Bring us your lowest-scoring control point and the one agent that is stuck. We will show you what closing that gap looks like on your stack, in 30 minutes, no slides.

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