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KLA Control Plane

Control what your agents can do in your systems.

KLA Control Plane connects your operating rules to the tools your agents use. It applies the policy, routes exceptions to a person and records what happened.

Where KLA connects to an agent workflow

Your execution path

An agent requests an action.

Send a payment, update a customer record or call an external service.

KLA Runtime or a connected checkpoint in your existing stack

KLA Policy Engine

Evaluate identity, action and context.

Allow / Warn
Can proceed
Require approval
Hold for review
Block
Stop the call
Human review in Decision Desk

Your connected systems

Execute only when permitted.

The tool receives the permitted request and returns its result or failure.

Payments, case management, data services and business applications

Follow the path in Lineage Explorer

Correlate the captured request, policy decision, human review and tool result. Coverage depends on the paths and sources you connect.

Choose where to begin.

Govern. Operate. Assure. Prove. Open the product area that matches your team’s next job.

Govern

Policy Builder

Define the conditions under which an agent may act. Test representative requests before applying a rule.

Policy decisions

Operate

Agents and Decision Desk

Follow governed execution and resolve the actions that need an authorized human decision.

Human oversight

Assure

Assurance Center

Review Findings and track Remediation Plans as operating behavior changes.

How the platform works

Prove

Lineage Explorer and Evidence Room

Investigate captured execution and prepare scoped evidence for review.

Execution Lineage

Fit the control to your architecture.

Run the agent through KLA, or keep your stack and add KLA checkpoints around its tools. Both paths produce the same decisions, approvals and evidence.

Run through KLA

Use KLA Runtime for governed execution, with policy decisions and approval holds connected to the run.

Explore the execution model

Govern in Place

Add KLA checkpoints around the tools in your existing agent stack with the Node.js or Python SDK.

Review integration options

Review an example evidence package before defining the records your evaluation needs.

Inspect an Evidence Room sample

Start with the workflow you want to put into production.

Bring the agent, its tools and the rules it must follow. We map the integration and agree what the first workflow has to show.

Book a demo

A 30 minute working session to scope one workflow.

AI Governance Platform for Regulated AI Agents | KLA