Coming Soon: Get a Clearer View of AI Usage With CRA
September 7, 2026

Coming Soon: Get a Clearer View of AI Usage Across Your Organization

AI is becoming part of everyday work. Employees may use AI applications installed on their devices, access AI tools through their browsers, experiment with local AI models, or use workflow automation platforms to bring AI into their daily processes. For IT teams, understanding this growing AI activity is becoming just as important as knowing which applications are installed across the organization.

Chrome Readiness Assessment is expanding its AI visibility to help organizations understand more of this activity in one place. With the upcoming AI Usage Insights experience, CRA will bring together a broader view of AI activity across devices and browsers, helping teams see how AI is being accessed and used across their environment.

From Installed AI Apps to AI Usage

CRA already helps organizations identify AI applications installed on devices. This gives IT teams an initial view of the AI tools present across their environment, but installed applications are only one part of the picture. Employees can also access AI services through their browsers, use workflow automation platforms, or work with AI models directly on their devices.

The upcoming AI Usage Insights section is designed to bring these different forms of AI activity into a more complete view. Instead of looking only at what is installed, organizations will be able to get a better understanding of how AI is being accessed and where it is appearing across their environment.

See How AI Is Being Used

AI usage can look very different from one device to another. One employee may have AI applications installed on their device, while another may access several AI websites through their browser. Others may be using platforms such as n8n or Google Workspace Studio to build and automate workflows, creating another layer of AI activity for IT teams to understand.

Understand AI Beyond the Browser and What is Approved

AI activity does not always happen through a familiar application or website. Some users may run or work with local large language models directly on their devices, creating AI activity that can be difficult to identify through traditional application or browser visibility alone.

More visibility also brings an important question for IT teams: Which AI tools are approved for use?

AI Usage Insights will help organizations look at AI applications through a governance lens, allowing administrators to distinguish between sanctioned and unsanctioned AI activity. Organizations will also have the flexibility to customize the domains included in their assessment. One Place to Understand Your AI Environment

As AI adoption grows, having scattered information about AI activity can make it harder for IT teams to understand what is really happening across their environment. AI Usage Insights brings these different signals together within a dedicated experience in CRA, making AI activity easier to explore and understand.

From installed AI applications and browser-accessed tools to workflow automation platforms and local AI models, organizations will have a broader view of their AI environment.

A Broader View of AI Is Coming to CRA

AI adoption is moving quickly, and knowing which applications are installed is no longer the whole story. Organizations need to understand where AI is being accessed, how it is being used, and which tools are part of their working environment.

With the upcoming AI Usage Insights experience, CRA is taking a broader approach to AI visibility. It is designed to help organizations move from simply knowing “What AI applications are installed?” to understanding “How is AI being used across our environment?”

A clearer view of your organization's AI usage is coming soon. Stay tuned.

Frequently Asked Questions

What is AI Usage Insights?

AI Usage Insights is an upcoming CRA experience designed to provide a broader view of AI activity across an organization's environment. It will bring together information about installed AI applications, browser-accessed AI, workflow automation platforms, local AI models, and AI governance.

How is this different from the existing AI application view?

The existing view focuses on AI applications installed on devices. AI Usage Insights expands this visibility by also showing AI accessed through browsers and other forms of AI activity across the environment.

What kind of AI activity will CRA show?

The upcoming experience will provide visibility into installed AI applications, browser-accessed AI applications and websites, workflow automation platforms, and locally detected AI models.

Can administrators identify approved and unapproved AI applications?

Yes. The upcoming experience will allow administrators to categorize AI activity as sanctioned or unsanctioned, helping organizations distinguish approved AI tools from those that may require review.

When will AI Usage Insights be available?

AI Usage Insights is currently coming soon. More details about the feature and its capabilities will be shared as it becomes available.

Senuri Senevirathna

Chrome Readiness Assessment

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CRA MCP for AI-Connected Readiness Insights and Controlled Actions
September 11, 2026

CRA MCP for AI-Connected Readiness Insights and Controlled Actions

For IT professionals, readiness reports provide valuable insights, but finding the right information can take time.

Chrome Readiness Assessment gives organizations a detailed view of their environment and helps teams understand their overall readiness. But when a user needs one specific answer, they may still need to move through multiple report sections before finding it.

CRA MCP introduces a new way to work with that readiness data. It brings Model Context Protocol support into the CRA Report Generator, allowing tested MCP-compatible clients to connect to the current generated CRA report through a controlled MCP Server.

The report-querying and data retrieval flow has currently been tested with CommandLyne and the Claude Desktop app. With this connection, users can ask natural-language questions, explore follow-ups, and receive focused answers based on CRA readiness data. Instead of manually searching through the report, teams can ask the report what they need to know.

CRA MCP also brings readiness intelligence closer to action. Where approved, CEP enrollment token deployment can be supported through a separate Device Action Tools section. This deployment capability is currently in beta and is supported through CommandLyne only.

CRA MCP is not just about making reports easier to read. It helps teams move from readiness data to controlled next steps while keeping setup approval, MCP access control, tool-level confirmation, and deployment visibility inside CRA.

What Is CRA MCP?

CRA MCP is a new integration feature that allows supported AI agents to interact with CRA readiness data through an MCP Server inside the Report Generator.

Instead of manually searching through different report sections, users can connect a tested MCP client and ask questions about the current generated report. At this stage, the report-querying experience has been tested with CommandLyne and the Claude Desktop app. 

For example, a user may want to know which devices are blocked, which applications need review, what browser risks were found, which workflows show automation activity, or what is affecting CEP readiness. CRA MCP allows the connected client to request the right information from the report and return a focused answer.

The Report Generator remains the source of truth. The MCP Server controls access. The connected MCP client provides the conversational experience.

From Static Reports to Askable Readiness Data

Traditional reports are useful, but they depend on the user knowing where to look.

CRA MCP makes the report more interactive. Instead of opening multiple pages, filtering tables, and reading through different sections, users can ask direct questions and receive data-backed responses.

This helps different teams use the same report in different ways.

An IT administrator can ask for technical blockers. A manager can ask for a short readiness summary. A security team can ask about browser and extension exposure. A partner can ask for the main customer risks and the next areas to review.

The same readiness report becomes easier to explore because users can ask for the exact view they need.

Remote Device Actions Start With Setup Approval

Before device actions can be used, CRA requires approval during the setup flow.

In the installation or wizard process, the user must allow Remote Device Actions. This approval authorizes the Report Generator on that machine to send signed configuration actions to devices in the current installation round.

This is an important control point.

Remote Device Actions do not mean CRA can send any command to a device. The flow is limited to supported built-in actions. Instructions are signed, devices pick them up during their check-in cycle, and outcomes can be reviewed later.

Once this setup approval is completed, the MCP Server and Actions capabilities become available in the Report Generator.

How the MCP Server Works

The MCP Server sits inside the CRA Report Generator as a controlled connection layer.

When the MCP Server is enabled, users can create access tokens for tested MCP clients. These tokens allow approved clients, such as CommandLyne or the Claude Desktop app, to connect to CRA and request information from the current generated report.

The connected client does not directly own the CRA data. It sends a request through the MCP Server. The MCP Server validates access, checks whether the requested tool is available, retrieves the supported information from the current report, and returns only the relevant data.

The flow is simple:

User asks a question → AI agent sends the request → MCP Server validates access → CRA Report Generator provides the report data → AI agent returns the answer

This gives users a natural-language experience while keeping CRA as the trusted source of readiness information. 

Access Tokens Keep AI Connections Controlled

CRA MCP does not open report access automatically.

Users must enable the MCP Server and create named access tokens for the MCP clients they want to connect. The report-querying and data retrieval flow has currently been tested with CommandLyne and the Claude Desktop app.

This gives organizations control over which tested clients can connect to CRA.

Access can also be removed when needed. If a token is revoked, the connected client can no longer access CRA readiness data through that token.

This matters because CRA reports may include sensitive environment information, such as device status, application usage, browser risks, migration blockers, workflow activity, and CEP readiness. Token-based access keeps the AI connection useful without making it uncontrolled.

Device Action Tools Add a Controlled Next Step

CRA MCP also includes a separate section called Device Action Tools.

This is different from the read-only MCP tools.

Read-only tools help users retrieve and understand report data. Device Action Tools can support a specific approved action when the organization enables them.

These tools are not available by default. The deploy_chrome_enrollment_token tool is available under the Device Action Tools section within the MCP Server page. This CEP enrollment token deployment capability is currently in beta and is supported through CommandLyne only.

To enable the CEP enrollment token action, the user must select the action tool under Device Action Tools. When the user selects the tool, CRA shows a warning modal asking whether AI clients should be allowed to use that action.

This creates another approval layer.

If the user confirms, the selected CEP enrollment token action tool becomes available through the approved CommandLyne MCP flow. If the user does not confirm, the tool remains disabled.

This means the AI agent is not given general device control. It can only call the specific CEP enrollment token action tool that has been approved.

Deployment Tracking Stays Inside the Report Generator

Actions triggered through MCP do not disappear into the background.

After the approved CommandLyne agent deploys the CEP token, the user can go to the Actions page and open the Deployments tab. There, the deployment card appears for the enrollment token action.

The card shows the deployment summary, including how many instructions were published and how many are still pending. Users can then view the devices connected to that deployment.

Inside the device list, users can see which devices are pending, which devices have applied the action, and which devices are still waiting for check-in. Device-level details also help teams review information such as the device name, group, action type, published time, expiry, last upload time, reported outcome, agent version, and action history.

This keeps the process transparent.

Even when the action is triggered through CommandLyne, the Report Generator still gives users a place to verify progress and confirm the outcome.

Business Value of MCP Device Action Tools

The business value of CRA MCP is that it connects readiness insight with controlled execution.

A readiness report can show what needs attention. An AI agent can help explain the finding. A controlled Device Action Tool can then support a specific approved next step.

This reduces the gap between analysis and action.

For IT teams, it means less time moving between report review and operational follow-up. For security and management teams, it means AI-supported workflows can still stay inside approved boundaries. For partners, it creates a stronger customer experience because the discussion can move from “what did the report find?” to “what controlled next step can we take?”

Because the CEP token deployment flow is currently in beta, it also creates a foundation for future expansion. More supported actions can be introduced later while keeping the same control model: setup approval, MCP access control, tool-level confirmation, and deployment tracking.

CRA MCP brings readiness intelligence closer to action while keeping approval, access control, and deployment visibility inside the Report Generator.

Not General AI Control

CRA MCP should not be understood as open-ended AI control over devices.

The AI agent cannot freely change CRA data, run arbitrary commands, or perform unrestricted device operations.

Read-only MCP tools are used to query and summarize report data. Device Action Tools are separate, disabled by default, and only available after explicit approval. The current CEP token deployment capability is beta and limited to the approved CommandLyne flow.

This separation makes the feature practical for enterprise environments. Teams can benefit from AI-assisted readiness exploration while keeping action boundaries clear.

Manual Deployment Is Still Available

CRA MCP supports AI-connected workflows, but users do not have to use an AI agent for every action.

Users who prefer a manual flow can go to the Actions area in the Report Generator, choose the supported action, configure the required details, and deploy it directly from the interface.

This manual path is useful when teams want to handle the action themselves while still using the Report Generator to track deployment status.

From Readiness Reports to Readiness Intelligence

CRA MCP turns CRA reports into a more interactive layer of readiness intelligence.

The Report Generator continues to hold the trusted data. The MCP Server controls which tested clients can connect. Access tokens protect the connection. Read-only tools provide focused answers. Device Action Tools support approved next steps. The Actions page keeps deployment tracking visible.

Together, these capabilities make CRA MCP more than a report-querying feature.

It helps organizations ask better questions, understand readiness faster, and move toward controlled action with confidence. With the CEP token deployment capability currently in beta through CommandLyne, CRA also sets the foundation for more controlled action workflows in future releases.

FAQ

Which MCP clients are currently tested with CRA MCP?

The report-querying and data retrieval flow has currently been tested with CommandLyne and the Claude Desktop app.

What happens when the CEP enrollment token Device Action Tool is selected?

CRA displays a warning modal asking whether AI clients should be allowed to use that action. If the user confirms, the action becomes available through the approved CommandLyne MCP flow. If the user does not confirm, the tool stays disabled.

Can an AI agent deploy a CEP token?

Yes, where approved, but this capability is currently in beta and supported through CommandLyne only. The CEP enrollment token Device Action Tool must be enabled, confirmed, and accessed through a valid MCP token before CommandLyne can support the deployment action.

Will more Device Action Tools be added later?

Yes. The CEP token deployment flow is the current beta action, and future releases can expand the Device Action Tools area with more supported actions.

Make Chrome Enterprise Premium Deployment Simpler at Scale
September 8, 2026

Coming Soon: Make Chrome Enterprise Premium Deployment Simpler at Scale

Deploying Chrome Enterprise Premium  licenses across a large enterprise can be a challenging task. When hundreds or thousands of devices are involved, even a simple deployment step can require significant time and coordination. IT teams need a way to move from being ready for Chrome Enterprise Premium to actually putting it into use across their environment without adding unnecessary complexity.

That is where an upcoming capability in Chrome Readiness Assessment (CRA) comes in. CRA is evolving to help organizations take the next step after understanding their environment and readiness. The goal is to make Chrome Enterprise Premium deployment more streamlined and easier to manage across an enterprise.

From Readiness to Deployment

Before rolling out Chrome Enterprise Premium, organizations need to understand whether their devices and environment are ready. CRA helps provide that visibility, giving IT teams a clearer picture of their current environment and the areas that may need attention before deployment.

But knowing that your environment is ready is only part of the journey. The next step is putting Chrome Enterprise Premium into use across the organization's browser environment. With the upcoming CRA MCP capability, organizations will be able to bring readiness information and CEP deployment closer together, helping teams move forward with greater efficiency.

Built for Enterprise Scale

Imagine an organization preparing to introduce Chrome Enterprise Premium across a large number of devices. Managing that process device by device can quickly become difficult, especially when IT teams are already handling multiple deployment and security priorities. A more connected approach can help reduce the effort involved and make it easier to move through the deployment process.

The upcoming capability will connect CommandLyne, CRA, and the MCP experience to help organizations work toward deploying Chrome Enterprise Premium licenses across their browser environment. Rather than treating deployment as a completely separate step after readiness assessment, the experience is designed to help organizations move more naturally from understanding their environment to taking action..

From “Are We Ready?” to “Let’s Move Forward.”

CRA has traditionally helped organizations understand their readiness for Chrome Enterprise Premium deployment by providing visibility into their environment and identifying factors that may impact a successful rollout. These insights have helped IT teams answer an important question: “Are we ready?” With its upcoming MCP capabilities, CRA is evolving beyond readiness assessment to help organizations act on those insights as well. Rather than stopping at identifying readiness, teams will be able to move closer to deploying Chrome Enterprise Premium licenses across their browser environment through a more connected and streamlined experience.

With this upcoming CRA MCP capability, organizations will have a new way to streamline their journey toward Chrome Enterprise Premium deployment at scale. It is another step toward making CRA more than a readiness tool, it is becoming a more connected part of the journey from knowing where you stand to moving forward.

A simpler path from readiness to Chrome Enterprise Premium deployment is coming soon. 

Stay tuned.

Frequently Asked Questions

What is this upcoming CRA capability does?

It is an upcoming capability that will help connect CRA readiness information with the process of deploying Chrome Enterprise Premium across an organization's browser environment. The goal is to make the journey from readiness to deployment more streamlined.

Who is this feature designed for?

It is primarily intended for IT teams and organizations managing Chrome Enterprise Premium deployments across large browser environments. 

How does this relate to the CRA MCP experience?

CRA MCP provides a way to connect CRA with supported AI-assisted experiences such as CommandLyne. For this upcoming capability, that connected experience will help bring CRA readiness information closer to the next step of deploying Chrome Enterprise Premium.

When will this capability be available?

This capability is currently coming soon. More details about the deployment experience will be shared as it progresses.

CRA MCP: A Smarter Way to Explore Readiness Data
September 1, 2026

CRA MCP Coming Soon: A Smarter Way to Explore CRA Readiness

Chrome Readiness Assessment gives organizations visibility into device readiness, application compatibility, browser and extension security, deployment blockers, and Chrome Enterprise Premium readiness.

But when readiness data grows across devices, applications, browsers, peripherals, and policies, finding one specific answer can take time. Users may need to move through multiple sections of a report just to find the insight they need.

What if they could simply ask?

“How many devices are blocked from migrating to ChromeOS?”

“Which applications are incompatible?”

“What are the main deployment blockers?”

That is what CRA is bringing with an upcoming capability: CRA MCP.

From Reports to Conversational Insights

CRA MCP will provide a new way to access information from the current generated CRA readiness report through an MCP-compatible AI assistant.

Instead of manually searching through report sections, users will be able to ask natural-language questions and retrieve targeted readiness information through a connected AI assistant.

The experience is designed to help users get to the information they need faster, while keeping the CRA Report Generator as the authoritative source of readiness data.

A Practical Use Case

Imagine an IT administrator preparing for a ChromeOS migration.

Instead of reviewing the entire report to understand migration blockers, they could ask an AI assistant: “How many devices are blocked from moving to ChromeOS?”

They could then continue: “What are the main reasons?”

This follow-up experience can help teams explore the same readiness data from different angles and better understand where attention may be needed.

One Report. Different Questions.

Readiness information is used by different people for different purposes.

An IT administrator may need device-level details and application blockers. A manager may want a high-level summary of readiness. A partner may need a concise view of key findings.

CRA MCP will make it easier to ask for the information that matters to each audience, including tailored summaries based on the current CRA report.

Flexible Connections, Controlled Access

CRA MCP is designed to fit into the way organizations already use AI, while keeping access to readiness data controlled. Organizations will be able to connect supported AI assistants and manage how they access CRA insights through the MCP Server.

The result is a more flexible way to explore readiness data while keeping organizations in control of their CRA environment.

A New Way to Ask About Readiness

CRA already helps organizations understand their readiness.

With CRA MCP, that information will become easier to explore through natural-language questions and conversational follow-ups.

Ask a question. Find the insight. Explore what comes next.

CRA MCP is coming soon.

Stay tuned for a new way to interact with your Chrome Readiness Assessment data.

FAQ

What is CRA MCP?

CRA MCP is an upcoming capability that allows authorized MCP-compatible AI assistants to query and summarize information from the current generated CRA readiness report using natural-language prompts.

Does CRA provide the AI assistant?

No. CRA provides the MCP Server and readiness data connection. The conversational experience is provided by an external MCP-compatible AI assistant, such as CommandLyne.

Can CRA MCP change my CRA data?

No. The initial release is read-only. AI assistants cannot modify CRA data, change device configurations, trigger remediation, or change policies through MCP.

Can CRA MCP access previous reports?

No. CRA MCP is limited to the current successfully generated readiness report. Historical reports are not available through MCP.

When can CRA MCP be used?

MCP access becomes available after the relevant data collection is complete and the current readiness report has been successfully generated.

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