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Healthcare technology operates under intense regulatory pressure, where accuracy, privacy, and speed must coexist. MEDITECH, a leading provider of enterprise electronic health record solutions, supports healthcare organizations of every size, from small care facilities to global delivery networks across more than 23 countries. To serve such a broad customer base, MEDITECH depends on efficient collaboration and fast access to complex information.
As generative AI gained traction, MEDITECH approached adoption with caution. Healthcare workflows involve sensitive data and strict compliance requirements, so any new technology has to meet high security and privacy standards. Gemini met those expectations by operating as a covered service under MEDITECH’s Business Associate Agreement with Google, meaning internal data remains private and is not used to train AI models.
With that assurance, MEDITECH launched a Gemini trial across a diverse group of users from multiple teams. Working closely with Google Cloud partner Onix, the company supported the pilot with training resources, hands-on labs, and practical guidance. The goal was not experimentation for its own sake, but understanding how Gemini could support real, everyday work.
The results were clear. Teams saved an average of seven hours per employee each week by reducing manual effort in tasks like meeting notes, document drafting, and email revisions. One of the most widely adopted use cases was automatic summarization of Google Meet calls, which helped teams capture decisions and next steps quickly and consistently.
Beyond productivity gains, Gemini became a valuable tool for navigating the constant flow of healthcare regulations and industry research. MEDITECH teams regularly review policy updates, compliance changes, and clinical insights. Gemini helps consolidate and summarize this information, allowing employees to share clear, timely updates through Google Chat and other Workspace tools.
Leadership quickly recognized the value. After reviewing the trial results, MEDITECH’s executive team approved a company-wide rollout. Since then, new use cases continue to emerge, from developers capturing ideas through voice notes to teams refining internal documentation more efficiently.
You can read the full story from https://workspace.google.com/blog/customer-stories/how-meditech-integrating-gemini-highly-regulated-healthcare-workflows?e=48754805
MEDITECH’s experience reflects a broader trend. AI tools are becoming deeply embedded in everyday work, even in highly regulated industries. As organizations expand their use of Gemini and other AI applications, understanding where these tools are used and how they align with secure platforms becomes increasingly important.
This is where the ChromeOS Readiness Tool introduces its upcoming AI Application Readiness feature. Built directly into the existing web dashboard and reports, this feature highlights AI applications actively used across an organization. When an AI workflow can be supported by Gemini, it is marked with a Gemini Ready tag.
For IT and transformation teams, this visibility connects real AI usage to ChromeOS planning. It becomes easier to identify opportunities to standardize workflows, reduce fragmented AI usage, and align teams around approved, enterprise-ready capabilities. AI Application Readiness also extends into reporting, combining application usage, Gemini readiness, and ChromeOS compatibility in a single, practical view.
MEDITECH’s journey shows how AI can deliver meaningful gains when introduced thoughtfully and securely. By embedding Gemini into familiar tools like Docs, Meet, and Chat, the company improved efficiency while maintaining trust and compliance.
With AI Application Readiness coming to the ChromeOS Readiness Tool, other organizations can take a similar approach. They gain clarity into how AI is already used across teams and how Gemini-supported workflows fit into a broader ChromeOS strategy. The result is informed decision-making that supports governance, productivity, and long-term transformation.
MEDITECH’s success demonstrates that when AI adoption is grounded in real workflows and paired with the right visibility tools, even the most regulated industries can move forward with confidence.
In our previous deep dive, we explored how Gemini 3’s Deep Think mode has redefined AI reasoning. But reasoning is only half the battle. The true promise of AI isn’t just a model that can think, it’s a model that can act.
With the launch of Gemini 3, we have officially entered the Agentic Era. Google has moved beyond the "chatbot" interface to build an orchestrator designed to execute long-horizon tasks autonomously.
The most significant shift for developers and power users is the move to the Gemini Interactions API. While traditional APIs were built for simple "back-and-forth" text, the Interactions API is a unified foundation designed specifically for agents.
Background Execution: Unlike previous models that required you to keep a browser tab open, Gemini 3 can offload long-running tasks (like deep research or code testing) to the server. You can trigger a task and walk away; the agent continues to work in the background.
Interpretable State: The API doesn't just return text; it manages a complex history of tool calls, "internal thoughts," and results that you can audit in real-time.
Sources- Refer to the official Gemini release notes to gain further insights. Interactions API: A unified foundation for models and agents - Google Blog
To showcase the power of these agents, Google introduced Antigravity, an agent-first development platform.
If you’ve used an IDE like VS Code, Antigravity will feel familiar, but with a major twist: it features a Manager View. This is a dedicated space where you can spawn multiple agents to work in parallel. While one agent is reproducing a bug in the terminal, another can be writing the fix in the editor, and a third can be verifying the changes in an integrated browser.
Instead of raw logs, these agents produce "Artifacts", tangible deliverables like task lists and screenshots, so you can verify their progress at a glance.
Sources: For more technical information, navigate to the complete documentation. Introducing Google Antigravity: An Agentic Development Platform
For the everyday user, Gemini 3 isn't just an app on your phone; it’s a digital employee. Because it is built to act, it can bridge the gap between your different tools:
Salesforce & Email: Imagine asking Gemini 3 to "Review my unread emails, identify high-value leads, and update their deal status in Salesforce."
Deep Research: Use the built-in Gemini Deep Research agent to spend an hour scouring the web for market trends and synthesize a 10-page report in Google Docs while you focus on other work.
The "Overnight" Assistant: Because of background execution, you can assign a task at 5:00 PM and wake up to a completed project plan and a drafted presentation.
Gemini 3 is the first model that truly feels like an Orchestrator. It doesn't just tell you how to do something; it picks up the tools and does it for you. By combining the Interactions API, Antigravity, and Thought Signatures, Google has provided the most reliable framework yet for autonomous work.
Next in this series: We’ll move from the office to the screen and explore Generative UI, how Gemini 3 is ditching static search results to build the custom, interactive interfaces you need in real-time.
Beyond, a global technology consultancy, helps organizations leverage AI and cloud solutions to boost productivity and drive growth. A remote-first company with 100 employees across London, New York, San Francisco, Mexico City, and Lisbon, Beyond relies on Google Workspace to unify collaboration. From Docs and Slides to Drive and Meet, the platform keeps teams working seamlessly across multiple time zones.
Gemini in Google Workspace has revolutionized how Beyond handles requests for information (RFIs). Previously, responding to RFIs required hours or days of compiling the latest data from multiple documents. Now, Gemini automates up to 80% of responses, enabling teams to focus on high-value client strategy.
Daniel Jakeman, Group Delivery Director, explains: “Gemini empowers our salespeople by putting the information they need at their fingertips. We can often have a working draft of a response the same day we receive it.”
This AI-driven approach has reduced the time from project brief to project kickoff from months to weeks. Gemini also ensures teams can locate and update relevant documents quickly, keeping Beyond’s internal knowledge base accurate and actionable.
Beyond extends Gemini’s capabilities beyond RFIs. The AI drafts project briefs, strategy documents, and sell sheets, functioning as a virtual copywriter and editor. Jakeman notes, “Gemini helps me think more creatively and gives me new ideas. It’s fantastic at building a compelling narrative from my thoughts.”
The consultancy is also piloting Gems and NotebookLM to further enhance efficiency. These tools identify relevant case studies, extract project data, and streamline research, turning organizational knowledge into a competitive advantage.
You can read the full story from here - https://workspace.google.com/intl/en_my/customers/beyond/
To support organizations following a similar path, the ChromeOS Readiness Tool is introducing AI Application Readiness. This feature highlights AI tools actively used across the organization and identifies workflows supported by Gemini on ChromeOS with a Gemini Ready tag.
By surfacing AI tools alongside real usage patterns, IT and transformation teams can quickly identify opportunities to standardize workflows, reduce reliance on redundant tools, and align processes with secure, enterprise-ready AI capabilities. AI Application Readiness also provides insights in reports, combining usage data with ChromeOS compatibility to support informed, phased adoption decisions.
For companies like Beyond, this feature will make it easier to map AI adoption across teams, govern usage, and guide employees toward approved AI tools, mirroring the efficiency and clarity they have achieved internally with Gemini.
Beyond’s experience demonstrates the tangible benefits of integrating AI into daily workflows. By automating repetitive tasks, surfacing critical information, and supporting creative output, Gemini has accelerated client engagement, improved efficiency, and enhanced collaboration across global teams.
With AI Application Visibility and Gemini Readiness coming to the ChromeOS Readiness Tool, organizations can replicate this success, gaining clear visibility into AI usage while confidently integrating Gemini into ChromeOS environments. Beyond’s journey illustrates how thoughtfully embedded AI drives productivity gains and strategic impact.
AI Application and Gemini Readiness integrate directly into the existing web dashboard experience rather than introducing a separate view. Within the Most Used Applications section, the ChromeOS Readiness Tool now highlights AI tools that are actively used and installed in the devices across the organization.
When an installed AI application has a functional alternative or equivalent workflow supported by Gemini, it is clearly marked with a Gemini Ready tag. This allows IT and transformation teams to quickly identify where Gemini can support or replace existing AI usage without disrupting user productivity.
By surfacing AI tools in the same context as other frequently used applications, this approach keeps AI readiness tightly connected to real-world usage patterns rather than abstract inventories.
The Gemini Ready tag plays a central role in guiding decision-making. It signals that an AI application currently in use can be mapped to Gemini-supported workflows. This tagging helps organizations:
Recognize opportunities to standardize AI usage
Reduce reliance on unmanaged or redundant AI tools
Align user workflows with secure, enterprise-ready AI capabilities
Rather than forcing immediate change, the ChromeOS Readiness Tool provides visibility that supports informed, phased transitions.
AI Application Readiness also extends into the Report Generator, where usage data becomes more actionable.
Within the Most Used Applications section of reports, AI applications are clearly identified and tagged with:
Gemini Ready status, where applicable
ChromeOS readiness status for compatibility context
This combined view allows stakeholders to understand not only which AI tools are heavily used, but also how they align with ChromeOS adoption and Gemini enablement goals.
AI Application Readiness is designed to support long-term governance, not just short-term migration tasks.
By identifying AI tools embedded within everyday workflows and highlighting Gemini Ready alternatives, organizations gain the clarity needed to:
Address shadow AI usage
Define clear AI policies
Guide teams toward approved, secure AI platforms
This visibility also helps leadership teams connect AI adoption trends with broader ChromeOS and enterprise AI strategies.
As AI becomes a permanent layer of modern work, readiness assessments must reflect how work actually happens. By embedding AI visibility into familiar dashboard and reporting views, the ChromeOS Readiness Tool makes AI Application Readiness practical, contextual, and actionable.
These insights help organizations move forward with ChromeOS adoption while making deliberate, informed decisions about how Gemini supports their AI future.
For years, the "AI race" was about speed and context windows. But in late 2025, the conversation has shifted. It’s no longer about how fast an AI can talk; it’s about how deeply it can think.
With the release of Gemini 3, Google has introduced a fundamental architectural shift. This isn't just a 2.5 upgrade, it’s a move toward "PhD-level" reasoning. But what does that actually look like for the person behind the keyboard?
The biggest technical leap in Gemini 3 is the introduction of the Thinking Level parameter. Previously, AI models were "black boxes"; you asked a question and hoped for the best.
Gemini 3 allows you to toggle how much cognitive effort the model applies:
Low/Minimal: Optimized for speed and cost. Perfect for summarizing an email or basic chat.
High (Deep Think): The model engages in internal "hidden" reasoning chains. It checks its own logic, explores alternative solutions, and self-corrects before it ever types a word.
The Result: On the grueling Humanity’s Last Exam benchmark, a test designed to be nearly impossible for AI, Gemini 3 Pro jumped from 37.5% in standard mode to a staggering 41.0% (without tools) in Deep Think mode.
Sources- Refer to the official Gemini release notes to gain further insights. https://blog.google/products/gemini/gemini-3-deep-think/
One of the most exciting technical enhancements is the Thought Signature. If you’ve ever used an AI for a complex, multi-step task, you know they often "forget" the plan halfway through.
Gemini 3 solves this by generating an encrypted "Thought Signature" for every step of its reasoning. In agentic workflows (like Google Antigravity), the model passes this signature back and forth. This ensures it doesn't just remember what it said, but why it said it.
If you’re using Gemini to refactor a massive codebase or plan a complex financial strategy, the model stays "locked in" to your original intent, even after ten turns of conversation.
Sources: For more technical information, navigate to the complete documentation. https://ai.google.dev/gemini-api/docs/thought-signatures
While other models use "vision encoders" to look at pictures, Gemini 3 is natively multimodal. It processes text, video, and code in the same "brain" at once.
Spatial Reasoning: You can upload a photo of a complex circuit board, and Gemini 3 doesn't just label parts; it can reason through why a specific connection might be causing a short circuit.
Video Intelligence: It treats video as a temporal stream. It can watch a recording of a presentation you did and give you "coach-level" advice on how you can improve it further.
If you would like to know what more Gemini 3 is capable of doing, refer to their official blog https://blog.google/products/gemini/gemini-3-examples-demos/
Gemini 3 marks the end of the 'Chatbot Era' and the beginning of the 'Agent Era.' Whether you are a developer building autonomous systems, a manager automating complex team workflows, or simply someone looking for a smarter way to organize your life, the ability to control this model’s depth of thought is a total game-changer.
Next in this series: We’ve only scratched the surface of what this reasoning engine can do. Stay tuned for our next deep dive, where we’ll move beyond benchmarks and look at how Gemini 3 is fundamentally changing how we interact with technology, turning complex ideas into reality with unprecedented ease.
Artificial intelligence is no longer experimental in the workplace. From writing assistance and design tools to copilots and generative platforms, AI applications are already shaping how employees work every day. In many organizations, this adoption has happened organically, often without centralized visibility or clear governance.
As enterprises plan their move to ChromeOS, understanding this AI usage landscape becomes just as important as evaluating devices and traditional applications. Without clarity into how AI tools are being used today, migration planning becomes more complex, and risk increases.
AI adoption is moving faster than most governance models. IT and security teams are frequently left asking fundamental questions. Which AI tools are installed across the organization? Where are they being used? Do they align with ChromeOS compatibility, security standards, and enterprise policies?
When these questions go unanswered, ChromeOS readiness assessments can stall. Migration decisions may rely on assumptions instead of data, security teams may lack visibility into unsanctioned AI usage, and organizations may miss opportunities to guide users toward approved, enterprise-grade AI platforms.
AI application visibility and readiness is no longer a future consideration. It is a present-day requirement for organizations that want to modernize their endpoint strategy responsibly.
Traditional readiness assessments focus on devices, operating systems, and conventional applications. While these remain critical, they do not capture the full picture of modern work.
AI tools often span cloud services, desktop applications, and browser-based workflows. They may be installed intentionally, introduced by individual teams, or adopted informally without IT involvement. This creates blind spots during migration planning and makes it difficult to balance innovation with control.
Without a structured way to assess AI usage, organizations risk carrying unmanaged complexity into their environments.
To address this growing challenge, the ChromeOS Readiness Tool is introducing an upcoming AI Application visibility capability.
This new feature is designed to bring AI usage into the same trusted assessment framework that organizations already rely on for ChromeOS migration planning. Instead of treating AI as an afterthought, it becomes a visible, measurable part of readiness discussions.
At a high level, AI Application visibility will help organizations:
Understand which AI tools are present across their environment
AI tool usage based on hours
See which AI applications are Gemini Ready
Support informed decisions around AI governance and standardization
Prepare for a future where Gemini plays a central role in enterprise AI workflows
AI is becoming a foundational layer of modern work, not a standalone capability. As this shift accelerates, readiness assessments must evolve alongside it.
The upcoming AI Application visibility feature in the ChromeOS Readiness Tool reflects this evolution. It provides a structured way to acknowledge existing AI behavior, address current gaps, and prepare for a more secure, intentional AI strategy on ChromeOS.
More details will be shared soon. This is the first step toward bringing clarity and confidence to AI-driven ChromeOS transformations.
The ChromeOS Readiness Tool offers two web-based dashboards designed to support different users while working from the same trusted assessment data. The Pro Dashboard supports organizations managing their own ChromeOS migration, while the Partner Dashboard supports service providers managing multiple customer assessments.
Both dashboards follow the same security-first approach and present readiness insights in a clear, actionable way.
All assessment data collected by the ChromeOS Readiness Tool is encrypted. Viewing this data requires both user authentication and a key file generated during installation. This model keeps data ownership with the organization that collected it and allows access only when permission is explicitly granted.
The Pro Dashboard is designed for IT teams within a single organization. It provides a detailed view of device, application, and peripheral readiness to support confident migration planning.
Access requires signing in with a Google account and uploading the private key generated during installation. Without this key, the encrypted data cannot be viewed.
Once signed in, users see an Overview that summarizes overall readiness across the fleet. This includes the percentage of devices that are Ready to Switch, Ready with Verification, or Blocked from Switching. It also shows how devices are distributed across readiness categories and highlights the most used foreground and background applications.
The Devices section allows administrators to review every assessed device and its readiness status. Users can select individual devices to see which applications are Chrome Ready, Possibly Ready, or acting as blockers. Filters make it easy to identify hardware compatible with ChromeOS Flex, supporting hardware reuse strategies.
The Pro Dashboard also includes dedicated views for virtualization, peripherals, and browser usage. Applications that are not fully ready can be reviewed alongside recommendations for running them on ChromeOS using Cameyo. Peripheral insights show connected hardware such as printers, scanners, and monitors, along with their compatibility status. Browser Insights display browser usage, version distribution, and installed extensions, helping teams review standardization and security posture.
The Partner Dashboard is built for managed service providers, and partners working with multiple customer organizations.
Partners see a list of all associated customer companies along with the status of their data collection. This view helps partners track progress across assessments at a glance.
Customer data remains protected. To access detailed readiness insights for a specific customer, the partner must upload the encryption file provided by that customer. Without this file, the customer’s data stays encrypted and inaccessible.
After uploading the key, the partner gains access to a customer-specific dashboard that mirrors the Pro Dashboard experience. This includes readiness summaries, device and application details, peripheral analysis, browser insights, and virtualization recommendations. These insights help partners guide customers through migration planning and recommend solutions such as Cameyo where needed.
Both dashboards support Japanese language localization across the web experience, installer, and reports. A built-in Feedback section allows users to submit suggestions or report issues and track responses. Export options are available to share readiness insights with internal teams, customers, and stakeholders.
With the Pro Dashboard and Partner Dashboard, the ChromeOS Readiness Tool delivers the right level of visibility to the right audience. Organizations gain clear, self-service insights into their own environments, while partners gain a secure way to manage readiness across customers. Together, these dashboards make ChromeOS migration planning simpler, more transparent, and easier to act on.
Preparing for a ChromeOS migration starts with clarity. You need to know which applications exist in your environment, how they run, and whether they are relevant to your future state. When even a handful of applications remain unidentified, planning slows down, risk increases, and confidence drops.
The latest release of the ChromeOS Readiness Tool introduces File Path Retrieval, a new capability designed to remove uncertainty around unknown applications. It delivers deeper visibility where it matters while keeping data collection tightly scoped, secure, and respectful of user privacy.
During readiness assessments, IT teams frequently encounter applications that standard detection methods cannot immediately classify. These tools often appear as unknown entries in reports, leaving administrators to guess their origin, purpose, or importance.
File Path Retrieval closes this gap by collecting a small, targeted set of technical metadata that allows unknown applications to be accurately identified. With this release, the ChromeOS Readiness Tool captures:
Application file paths that show where an executable resides on the system
Product names that help validate the software’s identity
Process names that indicate which executable is responsible for the activity
This added context transforms unknown applications into actionable entries. Teams can confirm legitimacy, determine business relevance, and make informed decisions about compatibility or remediation without extended manual investigation.
Because file paths and process information are involved, it is natural to ask whether this release introduces new security or privacy risks. File Path Retrieval was designed with that concern in mind.
The feature does not access file contents, scan directories, or collect user-generated data. It does not capture personal documents, application data, or anything typed, viewed, or created by an end user. The information collected is limited to technical identifiers required for application classification.
In practical terms, the ChromeOS Readiness Tool learns what is running and where it originates from, not what users are doing with those applications.
The ChromeOS Readiness Tool is not designed to monitor users. It intentionally avoids collecting:
Usernames, passwords, or authentication data
Keystrokes, mouse activity, or screen content
Personal files, emails, or browsing content
Financial, health, or other sensitive personal information
This separation keeps assessments focused on systems and applications, not individuals.
All data collected by the ChromeOS Readiness Tool is protected through layered security controls.
Data is encrypted locally on devices and remains encrypted during transfer and storage. Access to readiness results is restricted to authorized administrators, and the dashboard requires deployment-specific credentials that stay within the organization’s control.
Deployment options allow data to remain within approved storage locations, whether on premises, in cloud storage, or both. Temporary logs on devices are uploaded only after encryption and resume securely if devices go offline.
File Path Retrieval gives IT teams the missing context they need to move ChromeOS migrations forward with confidence. It removes ambiguity around unknown applications while maintaining clear boundaries around data scope, privacy, and security.
By delivering deeper insight without expanding risk, this release reinforces the ChromeOS Readiness Tool’s guiding principle: provide the visibility required for informed decisions, while respecting user trust every step of the way.
Preparing your organization for a transition to ChromeOS requires complete clarity on your current application landscape. Even small gaps in application knowledge can slow planning, create risk, and undermine confidence in migration decisions. The latest update to the ChromeOS Readiness Tool is designed to address this, providing greater precision in identifying, classifying, and managing applications.
This update introduces the File Path Retrieval feature, a powerful enhancement to our Data Collectors that removes the uncertainty around "unknown" applications and gives IT teams a clearer, more actionable view of their environment.
A common obstacle during OS migration is dealing with applications that aren’t immediately recognized by standard detection methods. Without specific information, it’s difficult to determine whether a tool is essential, redundant, or compatible with a new OS. This uncertainty can slow migration timelines and increase risk.
The File Path Retrieval feature addresses this by capturing detailed execution-level metadata for applications previously categorized as "unknown." The tool now collects:
Application File Paths: Know exactly where each application resides on the system.
Product Names: Capture the official software branding to confirm legitimacy and purpose.
Process Names: Understand the specific executable driving the application activity.
By providing this level of detail, IT teams can confidently classify every application, reducing guesswork and helping prioritize migration decisions.
Detailed metadata collection isn’t just about visibility, it also improves traceability and security. With File Path Retrieval, every application is identifiable and accountable, enabling teams to map application usage accurately across the organization. This ensures migration planning is both reliable and data-driven.
Security and privacy remain central to this update. While the feature collects technical metadata, all data is handled with robust safeguards, including Symmetric and Asymmetric encryption and OAuth 2.0 authentication, so organizations can improve insight without compromising sensitive information.
With File Path Retrieval, IT teams gain a more complete, accurate understanding of their software landscape, which translates into:
Faster decision-making: Less time spent investigating unknown applications.
Reduced migration risk: Clearer insight into compatibility and usage patterns.
Improved operational confidence: Detailed, traceable data support every stage of your ChromeOS transition.
In a complex IT environment, small gaps in application visibility can have significant consequences. The ChromeOS Readiness Tool’s latest update ensures no application is overlooked, providing the clarity and confidence needed to move forward with your migration strategy.
By equipping teams with deeper insights and secure, traceable data, File Path Retrieval empowers organizations to plan ChromeOS transitions with precision and confidenceturning unknowns into actionable intelligence.