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MERGE operates at the intersection of health, wellness, marketing, and technology, helping purpose-driven brands turn complex ideas into meaningful experiences. As client expectations grow and timelines tighten, MERGE has focused on equipping its teams with tools that support innovation without slowing momentum.
Google Workspace has long been the foundation of how MERGE collaborates. From real-time meetings in Google Meet to shared documents in Docs and Slides and secure file access through Drive, the platform connects every stage of work into a single, cohesive environment. That cohesion enables teams to work together seamlessly, whether collaborating in real-time or asynchronously across different locations.
The introduction of Gemini for Google Workspace marked a turning point for MERGE. The company launched a 200-user pilot to explore how AI could fit into daily workflows. Adoption was immediate. Within days, Gemini became a natural part of how teams approached strategy, content creation, and client collaboration. Over the three-month pilot, MERGE achieved an 89 percent sustained usage rate.
Gemini is now the most-used application in MERGE’s Workspace environment, surpassing Docs and Sheets. Teams rely on it to summarize meetings with clear action items, accelerate recruiting content like job descriptions, and refine client-facing documents collaboratively in real time. This approach has led to a 33 percent improvement in turnaround times, helping MERGE respond faster in an industry where speed directly affects client outcomes.
Beyond productivity gains, Gemini has changed how MERGE teams collaborate. Meetings no longer require fully polished ideas before discussion. Instead, teams bring early concepts and work through them together, using Gemini to help align thinking and sharpen direction.
By removing friction from everyday tasks, Gemini allows MERGE employees to spend more time on creative and strategic work. Teams report higher engagement and stronger collaboration, reinforcing MERGE’s mission to amplify meaningful stories for health and wellness brands.
With Gemini now included in Workspace licensing, every employee has access to the same capabilities, supporting consistency and shared ways of working across teams.
You can read the full story from here - https://workspace.google.com/blog/customer-stories/google-workspace-gemini-allows-merge-build-innovative-effective-and-creative-team?e=48754805
MERGE’s experience highlights how quickly AI tools can become embedded in daily workflows. As Gemini becomes central to collaboration, content creation, and strategy development, organizations benefit from understanding where AI is used and how those workflows align with secure platforms.
The ChromeOS Readiness Tool addresses this need with its upcoming AI Application Highlights & Gemini Readiness feature. Integrated directly into existing dashboards and reports, it highlights AI applications actively used across the organization.
This visibility helps IT and transformation teams connect real usage patterns to ChromeOS planning. Instead of relying on assumptions, organizations can see how teams already use Gemini to collaborate, create, and deliver client work. AI Application Readiness also brings these insights into reporting, combining application usage, Gemini readiness, and ChromeOS compatibility in a single, actionable view.
MERGE shows how Gemini can strengthen collaboration, accelerate creative work, and support faster delivery when embedded into familiar tools. By integrating AI into everyday workflows, the company improved efficiency while deepening its collaborative culture.
With AI Application Highlights & Gemini Readiness coming to the ChromeOS Readiness Tool, other organizations can follow a similar path. They gain clarity into how AI supports real work and how Gemini-enabled workflows align with ChromeOS adoption. The result is informed, confident decisions that support creativity, governance, and long-term growth.

WebFX was founded on a simple belief: collaboration drives success. As WebFX scaled, maintaining creative momentum and consistent collaboration became critical to sustaining growth.
For more than a decade, Google Workspace has been the foundation of how WebFX works. Docs, Sheets, Slides, Drive, Gmail, and Meet support everything from internal planning to client delivery. The platform acts as a shared workspace that keeps teams aligned, eliminates version confusion, and allows ideas to move quickly from concept to execution.
As WebFX explored new ways to support idea generation and speed up content creation, Gemini for Google Workspace became a natural next step. Integrated directly into the tools employees already use, Gemini added intelligence to familiar workflows without changing how teams collaborate.
WebFX initially tested Gemini with a smaller group through Google Workspace Labs. The appeal was immediate. Teams could brainstorm content directly in Docs and Gmail, develop outlines faster, and refine messaging without switching tools. Creative support in Slides and structured planning in Sheets helped teams move from rough ideas to polished deliverables more quickly.
Rather than replacing human creativity, Gemini acts as a starting point. It helps teams move past the blank page and focus on higher-impact thinking. As WebFX describes it, content is often easier to improve than to create from scratch. Gemini accelerates that first step, preserving time for strategic thinking and creative refinement.
Gemini’s impact goes beyond individual productivity. Because it is embedded across Workspace, it strengthens collaboration at scale. Ideas can be shared, iterated on, and refined in real time, supporting a culture where teams build on each other’s thinking.
WebFX views generative AI as a tool that amplifies what people already do well. Success still depends on the expertise and judgment of the team. By giving employees access to Gemini, WebFX empowered them to elevate their work, explore new approaches, and adapt to the evolving demands of digital marketing.
You can read more about the story from here.
https://workspace.google.com/blog/customer-stories/how-webfx-uses-duet-ai?e=48754805
WebFX’s experience highlights a broader reality. AI tools are becoming embedded in everyday workflows, often across many teams at once. As organizations expand their use of Gemini and similar tools, visibility into how AI is used becomes increasingly important.
The upcoming AI Application Insights and Gemini Readiness feature in the ChromeOS Readiness Tool addresses this need. Integrated directly into existing dashboards and reports, it surfaces AI applications actively used across the organization.
This context helps IT and transformation teams understand where AI is already delivering value and how those workflows align with ChromeOS planning. Instead of treating AI adoption as a separate initiative, AI Application Insights and Gemini Readiness ties it directly to real usage patterns, governance goals, and platform decisions
WebFX shows how Gemini can enhance collaboration, idea generation, and content creation when integrated into familiar tools. By embedding AI into daily workflows, the company preserved its creative culture while scaling productivity across a growing team.
With AI Application Insights and Gemini Readiness coming to the ChromeOS Readiness Tool, organizations can take a similar approach. They gain visibility into how AI supports real work and how Gemini-enabled workflows fit into ChromeOS adoption plans. The result is informed, confident decision-making that supports creativity, collaboration, and long-term growth.

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.

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.

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.

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.