{"slug": "welcome-to-gemini-at-work-2026-introducing-the-gemini-agent", "title": "Welcome to Gemini at Work 2026: Introducing the Gemini agent", "summary": "Google Cloud announced the Gemini agent, a single universal agent for work that answers questions, handles knowledge work, creates images and media, and writes and runs code, unveiled by Google Cloud CEO Thomas Kurian in his keynote at Gemini at Work 2026. Google Cloud said nearly 500 customers each processed more than one trillion tokens in the last year, nearly 80% of all Google Cloud customers now use its AI products, and nearly 90% of the Fortune 100 use Gemini Enterprise. The Gemini agent runs inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar with shared memory, skills, and controls, and adds data and analytics skills, industry-specific specialization for financial services and legal teams, identity and policy management, secure sandboxing, network gateways, multi-model orchestration, Smart Routing, and real-time spend caps.", "body_md": "Editor’s note: This article is adapted from Thomas Kurian’s keynote address at Gemini at Work 2026. It includes a number of announcements:\n\n**Gemini**, a single, universal agent for work that answers your questions, handles your knowledge work, creates your images and media, and writes and runs code. \n\n**[Inline in Workspace](https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026#:~:text=Gemini%20in%20Google%20Workspace),** Gemini works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else.\n\n**[New data and analytics skills](https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026#:~:text=Data%20analysis%2C%20data%20engineering%20and%20machine%20learning)** that allow both technical teams and everyday business users to use plain-language questions to get to actionable operational insights in minutes. \n\n**[Industry-specific specialization](https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026?e=48754805#:~:text=Industry%2Dspecific%20specializations)** with tools, skills, connectors and knowledge specific for financial services and legal teams.\n\n[**How we secure and govern agents**](https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026#:~:text=Securing%20and%20governing%20agents) through identity and policy management, authorization and permission controls, secure sandboxing, network gateways, and more.\n\n**[Leading cost controls](https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026#:~:text=Leading%20cost%20controls)** through multi-model orchestration, Smart Routing, real-time spend caps, and more.\n\n[**Customer use cases**](https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026#:~:text=Gemini%20Enterprise%20in%20action%3A%20global%20momentum) that showcase the breadth and depth of our customers around the world.\n\nBringing the best technology to all of you is what drives us at Google Cloud. In the last year, nearly 500 Google Cloud customers each processed more than one trillion tokens. Today, nearly 80% of all Google Cloud customers are using our AI products, and nearly 90% of the Fortune 100 use Gemini Enterprise. At that kind of scale, organizations have moved past experimentation and are running their business on it.\n\nWork now starts in the prompt window.\n\nTo meet this moment, today we are excited to announce the Gemini agent: your new single, universal agent for work. It has all of your business context and can be used for everything from knowledge work to answering questions, and from content creation to coding, all from a single prompt box. It plans the work, uses skills and tools, connects to your systems, and brings back something finished — inside the documents, the inbox, and the developer environments you already work in. It chooses the best model for the job, has built-in cost controls, and most importantly, has the security, administration, and governance required by your company.\n\nGemini answers your questions, handles your knowledge work, creates your images and media, and writes and runs code — all in a single agent and a single API. You give it objectives, not instructions. You delegate an outcome and come back to finished work. For an agent to do that, it has to be connected to your personal workflows, your systems of record, and your enterprise controls. Gemini can function as your personal assistant or as a team member, where it works on behalf of a group of people, like a project manager within a team, or on behalf of a specific role in an organization, like an analyst in your finance department.\n\nThe agentic capabilities in Gemini are built around core architectural principles:\n\n**Unified agent:** Gemini is an agent that can answer your questions when you chat with it, work autonomously to complete objectives you assign it, and generate code — all from a single interface. You can assign it work, schedule tasks that need to be completed, or have it respond to events.\n\n**Omnipresent access:** Gemini can be accessed from any device including web, iOS and Android mobile devices, Windows and Mac desktops, and any channel (command line, Google Workspace, Microsoft 365, or Slack). It can also be integrated into third-party applications and surfaces and operates as a headless agent, meaning it does not need a dedicated user interface.\n\n**Persistent execution:** It runs in the cloud, meaning it maintains a single set of memories, context, and one personalization graph no matter what device or channel you access it on. You never have to re-brief it or wonder which machine you told it to do something on. Work that takes hours or days keeps running after you close your laptop, and it is still there when you come back. \n\n**Multi-agent orchestration:** Gemini doesn’t work alone. It can dynamically create a roster of sub-agents — temporary, job-specific agents, each with their own identity — to tackle multi-step tasks. Gemini can communicate with these sub-agents to coordinate workflows, including parallel and sequential steps that can run for hours or days. In addition, Gemini can act as a coworker agent — which is more like a team member, with a persistent, defined role and operational presence across days, sessions, and multiple changing responsibilities — and delegate and coordinate tasks. Coworker agents have dedicated identities including their own @agents.company.com emails, their own persistent storage, and only have access to the context that you or your team members provide.\n\n**Deeply contextual:** Gemini arrives already knowing your tools, data, and work history. Whether you ask it a question, assign it an objective, or have it generate code, Gemini learns from every interaction with you. The longer you collaborate with it, the better it understands you and how you work. Teams can create dedicated projects to further optimize the context, skills, and tools Gemini uses when it works with you.  \n\n**Model choice flexibility:** Gemini is the agent, and the model underneath it is a separate choice. It runs each job on the model that fits best — orchestrating across our Gemini family of models and Claude  models from Anthropic today, and other leading private and open models in the future — to deliver optimal quality and lower your costs. The best model for the task is not always the largest one. Matching the model to the work raises accuracy on the difficult jobs and lowers cost on the simple ones. And the leading model changes every few months, so keeping that choice open means your context, your skills, and your data stay put when it does.\n\nTop customers across industries were early testers and are already realizing its benefits: Premium sportswear brand **On** tested this new dynamic selection capability to accelerate its speed-to-market. This builds on the proven, large-scale multi-model strategies already used by leaders: **Shopify** blends frontier models for millions of merchants to unlock data and drive sales, and **PayPal** routes 10 million multi-model requests every week.\n\nGemini understands your business — everything from pricing to product portfolios to departmental norms — and all the institutional knowledge that makes your company unique. Three capabilities make that possible: tools that connect it to your systems, skills that teach it how your work gets done, and context that lets it remember.\n\n**Tools and tools registry:** Gemini can securely connect to the software your company already runs, including collaboration tools like Confluence, Microsoft Office, Teams, Slack, and Workspace; development tools like Git and Jira; enterprise platforms like Salesforce and ServiceNow; databases like BigQuery, Databricks, Postgres, and Snowflake; and files on your own desktop. It can also connect and work securely with any Model Context Protocol (MCP) server inside or outside your company network. It also offers an enterprise tools registry, so teams can build and publish tools for the rest of the company. \n\n**Skills and skills registry:** Skills are reusable sets of instructions, knowledge, or workflows stored as modular prompts that teach agents how to perform specific, multi-step tasks. Gemini ships with a robust global library of skills. Teams or departments can build and publish custom skills to a shared company registry, and you can build your own personal skills. Gemini chooses the right skills and tools to perform a task and continuously learns from each execution, improving its consistency, while saving token costs.\n\n**Context and memory:** Gemini learns from each question you ask it, each objective you assign it, the people you work with, and uses your personal context and your organization's context to personalize and improve the quality of its responses. It keeps four kinds of memory: session memory for the task in front of it, even when it runs for days; semantic memory, a structured knowledge base it builds as it reads documents, talks to people, and works with other agents; procedural memory for how a job gets done, including skills it writes for itself; and episodic memory of everything it has done before. Gemini onboards itself the way a new hire would, learning you, your tools, and your team before it starts.\n\nCustomers seeing significant benefits from Gemini Enterprise include:\n\n[**BNP Paribas**](https://www.googlecloudpresscorner.com/2026-09-24-BNP-Paribas-and-Google-Cloud-Announce-New-Partnership-on-Agentic-AI-and-Cloud-Innovation), a European leader in banking and financial services, is transforming Corporate & Institutional Banking by deploying Gemini Enterprise into LLM@CIB, its internal generative AI assistant available to more than 65,000 employees, to streamline workflows like preparing credit memos and boosting the productivity of customer advisers while maintaining strict enterprise-grade security and data governance.\n\n**Bradesco**, one of Brazil’s largest banking and financial services conglomerates, is streamlining heavy operational workflows by deploying Gemini Enterprise for automated fiscal, accounting, and contractual analysis. The finance team has accelerated proposal reviews, service classification, and budgetary workflows, cutting document review time from 1 hour to 5 minutes while reducing risk inconsistencies by 60% and achieving over 10% in financial efficiencies.\n\n[**Merck**](https://www.youtube.com/watch?v=Ay5QtMsna8c) is exploring new frontiers in molecular research with the potential to significantly compress discovery timelines while maintaining complete data privacy and security.\n\n[**Orange Spain**](https://www.googlecloudpresscorner.com/2026-10-08-Orange-Spain-Expands-Partnership-with-Google-Cloud-to-Industrialize-AI-Operations-with-Gemini-Enterprise), a leading telecommunications operator in Spain, is speeding up its digital transformation by deploying more than 1,000 custom Gemini Enterprise agents. Employees across HR, IT, sales, and customer service have built custom agents to automate incident triage, analyze network issues, and retrieve corporate knowledge, boosting operational agility and response times while helping non-technical staff automate daily workflows with zero IT bottlenecks.\n\n[**Santee Cooper**](https://www.googlecloudpresscorner.com/2026-09-03-Santee-Cooper-Partners-with-Google-Cloud-to-Help-Improve-Grid-Reliability-Through-Better-Planning), South Carolina’s state-owned electric and water utility, is modernizing its financial planning and grid reliability by deploying a specialized AI model built on Gemini Enterprise. Financial planning teams and utility operators are automating complex financial scenario modeling and query execution using simple natural language and expect to boost modeling speed by up to 75% while mitigating market risk across a $10 billion grid expansion budget.\n\n**SOMPO**, a leading Japanese insurance provider, built over 10,000 custom AI agents across its 34,000 employees to automate tasks like document search and summarization for employee efficiency. Their engineering team used Gemini Enterprise to cut the development time for new models from one week to a single day, freeing up engineers for more important work.\n\n**Ulta Beauty** is helping guests shop 30,000 products by deploying the Ulta AI shopping assistant built with Gemini Enterprise. Online shoppers have translated conversational questions into personalized beauty recommendations, boosting digital sales conversion rates three-fold while skipping traditional search filters to buy the products they love instantly.\n\n**Wesfarmers,** the parent company of Australian retail giants **Bunnings**, **Kmart**, and **Officeworks**, is deploying agents across its portfolio. An internal agent at Bunnings saved staff half a million hours of administrative work, while shopping agents — that help customers discover products and build their carts — have increased conversion rates up to three times higher for Kmart and Officeworks.\n\nGemini not only answers your questions, handles your knowledge work, and writes your code — it works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else. It works inline: in the email thread, in the document, and in the chat space.\n\nInside Workspace, Gemini works three ways:\n\n**Personal assistance**: Gemini works as your personal agent and arrives already knowing your calendar, your team, your projects, and how your documents relate to one another. It is briefed before you start.  For example, you can ask Gemini to set up a meeting with the usual team of regional event leads next week, without supplying a single name or email address. Gemini determines who those people are from the membership of your chat space and the thread from your last event, checks their calendars, and starts an email thread to coordinate a time that works, even with external participants. It handles work that spans applications the same way: researching market trends, building a financial model in Sheets, then creating a deck that presents both, without you re-explaining the project at each step.\n\n**Proactive delegation**: Gemini uses this same intelligence to proactively suggest tasks you can delegate to it. For example, if your manager emails you asking for the latest project update as a slide deck, Workspace Intelligence recognizes that as a delegatable task and gives you a single-click option to pass it to Gemini. It applies the same reasoning to your inbox, surfacing the message that matters most rather than the one that arrived last, and explaining why. \n\n**A member of your team**: You can also use Gemini to create a coworker agent that works with your entire team. You simply describe the role you need, and Gemini creates it. The agent receives its own Workspace account, including an email address, calendar, Drive, and presence in your company directory. Your colleagues work with it the way they work with anyone else, by adding it to a Chat space or @mentioning it. For example, a marketing manager can ask an events coordinator agent in a chat group to draft a launch readiness document, which it posts back to the group when complete. The marketing manager could also tag the agent in a document comment, where it can suggest an edit in the Doc and reply in the comment thread, appearing under its own name in version history. A coworker agent acts under its own identity rather than yours, and it sees only what you share with it. Access follows the sharing and membership your team already uses, and no outside connector holds your data.\n\nWe are also giving Gemini skills built for specific domains, starting with data.\n\nData and analytics represent a foundational domain where Gemini transforms business workflows, enabling organizations to move from plain-language questions to actionable operational insights in minutes. We are introducing purpose-built capabilities tailored to both technical teams and everyday business users:\n\n**For Data and ML engineers:** We are extending Gemini with machine learning skills and tools that back every data scientist and data engineer with a team of agents. Engineers describe the outcome they want in plain language, and Gemini generates PySpark code, provides notebooks to edit and test it, trains models, and troubleshoots and fixes pipeline issues on its own.\n\n**For business users:** Anyone in your organization can generate reliable, real-time operational reports simply by asking. Gemini uses operational reporting skills integrated with BigQuery and the Knowledge Catalog to construct and save the query. Once saved, teams can run reports on demand without incurring token costs, guaranteeing consistent, verified answers every time.\n\n**Three Google Cloud capabilities keep those answers grounded:**\n\n**Knowledge Catalog:** Gemini integrates directly with your Knowledge Catalog to map business definitions once so all agents use them. This deep understanding of your organization’s schemas and business rules for terms like “net margin” and “addressable market” dramatically improves accuracy. Whether your metrics live in Databricks, dbt, LookML, or SAP, Gemini reads them directly where they sit to ensure factual responses.\n\n**Smart Storage**: Ninety percent of enterprise data is unstructured — PDFs, images, scans, and audio recordings — which often remain \"dark\" and unreadable. Smart Storage changes this by enriching unstructured objects in place and writing context back directly onto the object itself. The intelligence stays where the bytes reside and inherits your existing security posture.\n\n**Borderless Lakehouse:** Organizations should not be forced to move or duplicate their data to use AI. Our borderless Lakehouse allows Gemini to query Amazon S3 and Azure Data Lake with no variable egress fees, read directly from Salesforce Data 360, SAP, ServiceNow, and Workday without copying data, and federate open Apache Iceberg tables across Databricks Unity, Snowflake Polaris, and AWS Glue.\n\nYou can start by registering data sets that you discover in your lakehouse with the Knowledge Catalog, and then assign Gemini simple or complex analysis to perform. It identifies the necessary data sets from the Knowledge Catalog, generates the necessary SQL, Spark or Python code to calculate the results, and runs the code on our Managed Spark Service with Lightning Engine or in BigQuery. It can also generate charts and build dashboards in the tools your analysts already use.\n\nBy grounding its data agents in the Knowledge Catalog, Bloomberg Media lifted its SQL query accuracy by 63% during initial development. **As William Anderson, Bloomberg Media’s CTO, noted: “...by grounding our AI in a trusted institutional context, we ensure confidence in the accuracy and quality of every insight generated.”**\n\nAdditional customers are seeing tremendous value from our data solutions:\n\n**Deutsche Telekom** used BigQuery, Cloud Storage, and Knowledge Catalog to build a unified data lakehouse to overcome a fragmented and slow data infrastructure spread across 40+ legacy on-premise systems, allowing their teams to now move ten times faster while addressing European data sovereignty and security requirements.\n\n**Etsy** migrated three petabytes of data to a unified lakehouse. By using BigQuery and open-source Apache Iceberg, they can now perform critical data joins up to 60% faster, allowing them to train models on much larger datasets and better connect buyers with the perfect items.\n\n**Snap** connected its Prism agent directly to its storage archives, cutting technical diagnostic troubleshooting times down from 30 minutes to just 30 seconds.\n\nEvery industry runs on knowledge a general model does not have. We are specializing Gemini for individual industries, with the skills, tools, and knowledge specific to each one. It is now in preview for Financial Services and Legal, and coming soon to Government, Healthcare, and Retail.\n\n**Financial Services:** Gemini for Financial Services automates what is usually pieced together across many workstreams: investment research, credit analysis, and risk modeling. It draws on trusted financial data from FactSet, LSEG, SEC filings, and your own proprietary repositories. Built with more than 50 foundational skills and designed to satisfy rigorous compliance, it shows its reasoning through confidence scores, explicit methodologies, full data lineage for easy auditing, and source citations you can check. Gemini for Financial Services is already being used by global financial institutions like **CME Group** and **Deutsche Bank**.\n\n**Legal:** Gemini inherits matter-level permissions and ethical walls directly from document management platforms like NetDocuments and iManage. Partners like Harvey automate complex legal work while meeting the firm's confidentiality standards, while Onit streamlines contract lifecycle management without exposing privilege. Cooley is building a confidential information redaction agent on Gemini Enterprise for Legal that automates redactions, including personally identifiable information and confidential material, before legal filings go public. In high-stakes litigation, this can cut days of document review while maintaining the firm's rigorous standards for client confidentiality.\n\nIn addition, we’ve seen our ecosystem and customers create new vertical applications as well. For example, **Deloitte** has created a multi-agentic solution to help organizations identify the highest-value opportunities for AI applications for their business. Their Agentic AI blueprint develops operational heat maps to pinpoint areas ready for agentic redesign, accelerating the deployment of custom agentic workflows and achieving up to a 3x faster path to measurable business impact.\n\nTwo factors determine whether an enterprise agent program succeeds or stalls: whether you can govern it, and whether you can afford it.\n\nWhen deploying autonomous agents across an organization, governance comes down to answering four fundamental questions:\n\nWho is the agent, and what identity does it have?\n\nWhat is it allowed to do or what permissions is it granted?\n\nWhat did it do and where can I see what it did?\n\nWhat should it never touch?\n\nIdentity, policy, and observability answer the first three. The fourth is Agent Gateway.\n\n**Identity:** Every agent gets its own identity, cryptographically attested and governed like an employee, with least-privilege permissions. That identity is stamped into the logs that capture its work, and into any virtual machine spun up to run code on its behalf.\n\n**Authorization and permissions:** You give each agent fine-grained, role-based access permissions, approved by your organization’s security administrators. When the Gemini agent connects to an external system, its identity is mapped and propagated through industry standards such as OAuth.\n\n**Auditing:** In addition, every action Gemini takes is written to an audit trail and attributed to the agent rather than to a person. Since the identity travels into any virtual machine the agent spins up to run code, you can monitor those logs with our observability tools in real time and catch anomalous behavior before it matters. \n\n**Policy management and control:** Gemini gives you identity, discovery, governance, and security by default. All Gemini agents execute tasks safely inside an Agent Sandbox with its own network boundary. All traffic—in, out, and between agents—passes through Agent Gateway, an AI network firewall enforcing your organization’s policies in real time. You write the policy once, such as: “agents may not open documents classified Need to Know.” Gemini applies it to every agent in your company instead of checking one agent at a time.\n\nWhile per-token prices have [dropped 98%](https://thenextweb.com/news/token-prices-fell-98-enterprise-ai-bills-tripled-now-the-industry-wants-a-standards-body-to-explain-why) since 2024, enterprise AI volume has exploded. Running every simple loop through a premium model quickly breaks corporate budgets. We [announced](https://cloud.google.com/blog/products/ai-machine-learning/flexible-billing-and-cost-controls-for-agents-on-google-cloud?e=48754805) new flexible spending options recently and are adding to those today: \n\n**Multi-model orchestration:** As mentioned earlier, Gemini allows you to choose the right model for the job, and even combine different models for specific tasks in larger projects to deliver optimal quality and lower your cost.\n\n**Smart routing:** Our routing tool automatically triages enterprise workloads so each one runs on the model that delivers maximum performance at the lowest possible cost.\n\n**Real-time spend caps:** You can set a hard limit on a project's AI spend in the Cloud Billing Console, and Gemini enforces it. Gemini monitors token usage and sandbox costs, and if a spend cap is triggered, that project's agent pauses, and you can choose to resume work with a single click in the console. Because the tracking is per project, companies can charge AI costs back to specific departments.\n\nAll of this innovation — the agent, the data, the identity, and everything else — runs on our AI Infrastructure and our models. They are the reason the economics work.\n\nFirst, our AI infrastructure. We co-design the chips, the network, the data center, and the software that connects it all as one highly-optimized system — our AI Hypercomputer. This vertical integration delivers significantly better price-performance than the generic setups, and we are continuing to push the state of the art here. For example, our latest TPU 8i system delivers 80% better price-performance than the prior generation, making complex, high-value agent tasks both fast and highly affordable.\n\nOn top of this silicon sit our models: **Argon** for frontier reasoning, **Flash** for speed and volume, **Omni** for generative media, and **Gemma** for lightweight, open-weights edge workloads.\n\nThe edge capabilities are already real. **NASA’s Jet Propulsion Laboratory** is running Gemma directly on a satellite in orbit, a first for a vision-language model. JPL’s NAVI software analyzes Earth imagery on board the satellite and sends a summary with key information to ground operators.\n\nWe remain committed to choice at every layer of the stack, ensuring you have the freedom to choose the best tech stack for your unique needs.\n\nInside Gemini, you have a broad choice of third-party agents from leading SaaS providers as well as connectors that are ready to use. They are even easier to discover as collections in the new AI Solution Finder.\n\nAround Gemini, our services ecosystem continues to rapidly scale to meet enterprise demand. Together, in the last month alone, our global consulting partners have put more than a hundred thousand of their developers and consultants through Gemini hackathons.\n\nIn addition, Accenture has made a significant investment by establishing a dedicated Gemini Enterprise Business Group to accelerate customer adoption and innovation. Several other partners have also expanded their commitments to support the growing demand for Gemini, including establishing specialized centers of excellence and training Gemini credentialed practitioners to help customers build and deploy production-grade agents faster.\n\nOrganizations worldwide are driving measurable impact across every major region:\n\n[**Arden University**](https://www.googlecloudpresscorner.com/2026-10-08-Arden-University-and-Google-Cloud-Form-Strategic-Partnership-to-Ensure-Development-of-Job-Ready,-AI-Native-Graduates), a UK provider of flexible online and blended learning, is preparing students for the global job market by rolling out Gemini Enterprise. Over 30,000 students and staff will now have access to advanced Al tools to personalize their studies and gain essential skills for the workplace.\n\n**Commerzbank**, one of Germany’s largest private banks, is using Gemini Enterprise to automate document quality assurance, reducing manual work on document reviews from 20 hours to just one. They are expanding this with a multi-agent system for AI-driven QA.\n\n[**Lloyds Banking Group**](https://www.youtube.com/watch?v=ZoZlcmQG8SE) is scaling agentic AI across the bank. Envoy, a secure, Gemini-powered pipeline, has already onboarded nearly a thousand engineers building production-ready AI use cases. From fraud detection to commercial client onboarding, Envoy gives teams a reusable agent marketplace, a \"golden path\" for building agents, and a CI/CD pipeline — all wrapped in the guardrails and security a highly regulated bank demands.\n\n[**Nokia**](https://www.googlecloudpresscorner.com/2026-06-22-Nokia-and-Google-Cloud-Partner-to-Embed-AI-Agents,-Built-with-Googles-Gemini-Models,-Into-Nokias-Autonomous-Network-Product-Suite) is tackling the complexity of modern telecom networks with an ecosystem of specialized agents built on Gemini Enterprise. This allows operators to fix issues before subscribers are impacted by automating troubleshooting and cutting issue resolution time by up to 80%.\n\n**On****,** a premium sportswear brand, is scaling workforce productivity and efficiencies by deploying Gemini Enterprise to every employee to drive personal productivity and foster an AI-ready culture. Team members have launched no code agents that help with efficient knowledge extraction, executive reporting, market research, scheduling, onboarding and more.\n\n**Ooredoo Qatar,** the leading telecommunications provider in Qatar, is integrating Gemini Enterprise into their AI transformation strategy to drive advanced automation and intelligence. Its customer support, marketing, security, and field operations teams have deployed AI agents to optimize internal operations management, while accelerating rapid issue resolution and marketing campaigns to deliver around the clock, highly personalized, proactive customer experiences.\n\n**Qatar University,** the nation's premier institution of higher education, is transforming higher education operations and academic research by deploying Gemini Enterprise campus-wide. Thousands of faculty and staff are deploying more than 2,000 custom AI agents to modernize institutional workflows, automate complex administrative operations, and enhance academic productivity.\n\n[**Ryanair**](https://www.googlecloudpresscorner.com/2026-08-12-Ryanair-and-Google-Cloud-Announce-Five-Year-Data-and-AI-Partnership), Europe’s largest airline, is modernizing its collaborative operations and infrastructure by deploying Gemini Enterprise and Google Workspace to 35,000 employees. Flight crews, operations planners, and corporate staff will benefit from automated decision-making, optimized crew logistics, and enhanced corporate productivity, while a resilient dual-cloud strategy strengthens infrastructure resilience and supports the airline's target growth to 300 million passengers by 2034.\n\n**Starling**, one of the UK's top-rated digital banks, built its Scam Intelligence tool on Gemini Enterprise. It analyzes online marketplace ads for suspicious content and has quadrupled the rate at which customers cancel potentially fraudulent payments.\n\nOther major European customers include **Berenberg** in banking, **Bouygues Telecom**, the application building platform **Lovable**, and **Siemens** in automation.\n\n**Airwallex,** the global financial platform processing over $200 billion annually, has deployed Gemini Enterprise across its infrastructure to resolve customer issues 10x faster, automate dispute handling to cut case time by 40%, and accelerate software time-to-market by over 95% while building specialized agentic finance workflows for automated treasury, payables, and payments.\n\n**DBS Bank**, Southeast Asia’s largest bank, is moving past pilots into enterprise production by deploying deterministic chains of 70 to 80 specialized agents on Google Cloud to synthesize complex financial, regulatory, and market intelligence for corporate credit memos, shifting relationship managers from manual research to high-value client advisory while keeping humans firmly in the loop.\n\n**Hitachi** is transforming global power and utilities by deploying agents directly to frontline workers via HMAX, Hitachi’s portfolio of AI-powered solutions. Field technicians have built agents for over 200 use cases — such as using image-recognition agents to verify photos of every tool and wire before and after a job — boosting productivity by up to 400% while keeping workers safer.\n\n**NTT DOCOMO**, Japan’s leading mobile operator, built data agents that reduced time-to-insight from two weeks to instant, which gave four hundred fifty thousand hours a year back to the business. Building on this success, they are now deploying Gemini Enterprise to drive their next wave of productivity.\n\n**Tata Steel**, a global steel manufacturing leader, successfully deployed more than 300 specialized AI agents in nine months to enhance manufacturing safety, optimize predictive supply chains, and cut customer complaint turnaround times by 50%.\n\n[**Zip**](https://www.googlecloudpresscorner.com/2026-10-08-Zip-US-Collaborates-with-Google-Cloud-to-Build-AI-Native-Product-Factory-with-Gemini-Enterprise), an Australia-based digital financial services company, is transforming its product-development lifecycle in the U.S. by deploying Gemini Enterprise to build an AI-Native Product Factory. Cross-functional teams will use this unified agentic environment to connect customer research, design, engineering, and compliance, boosting product development velocity and parallel experimentation while lowering the cost and complexity of bringing new financial products and experiences to market.\n\nOther APAC leaders include **LG** in electronics, **Marubeni** in trading, and **TCS** in technology services.\n\n**Banco BV**, a leader in the Brazilian financial sector, is using Gemini Enterprise to create personalized scripts for its customer relationship managers, accelerating client communications by 80%. The new AI platform allows the bank to quickly engage customers with tailored financing and investment opportunities.\n\n**CNA/SENAR**, Brazil’s national agriculture and livestock federation, is expanding access to critical agricultural information by deploying JoIA, a conversational AI assistant on WhatsApp built on Gemini Enterprise. 40,000 active users, with the potential to support 5 millions producers across the country, have accessed localized input pricing, weather forecasts, and financial health evaluations to facilitate in-field decision-making.\n\n**Farmacias del Ahorro**, one of Mexico’s leading drugstore and pharmacy retail chains, is accelerating corporate operational efficiency by deploying PotencIA, an internal program built on Gemini Enterprise. 1,000 corporate employees across IT, e-commerce, and marketing have adopted the tools for daily business workflows, boosting active user adoption to 95% while generating an estimated 140,000 hours in annual productivity gains.\n\n**Globo**, Latin America’s largest media company, is optimizing early-stage software planning by deploying PlanejaAI, an AI agent solution built on Gemini Enterprise. Product Owners, managers, and analysts have accelerated epic refinement and quarterly planning, boosting pre-development plan accuracy by 33% and slashing validation time from 20 minutes to 6 seconds while saving 127 hours in a single quarter.\n\n**Grupo Bafar**, a prominent Mexican food producer and consumer retail group, is accelerating national retail expansion by deploying Gemini Enterprise for automated contract management. Legal and retail operations teams have streamlined the preparation of operational annexes for store openings, boosting processing capacity tenfold while slashing contract preparation time from 140 to 17 minutes per branch.\n\n**Laureate Education**, a major higher education network serving nearly 500,000 students across Mexico and Peru, is transforming academic and administrative operations by deploying Gemini Enterprise and Gemini for Education. Faculty and staff have personalized learning paths, enhanced teacher support resources, and modernised campus administration, boosting student engagement and operational readiness while driving long-term career employability for graduates.\n\nOther LATAM leaders include **iFood** delivery services, **Livelo** in customer loyalty, **SEBRAE** in public services, and **Yduqs** in education.\n\n**Albertsons****,** a leading U.S. food and drug retailer, is ensuring customers get the freshest produce with its patent-pending Intelligent Quality Control tool built with Gemini Enterprise. Distribution center inspectors are using computer vision and Gemini models to instantly evaluate fresh fruit and vegetable quality against company standards, boosting rating consistency across shifts and locations while speeding up inspections to get perishable food onto grocery shelves faster.\n\n[**Avid**](https://www.googlecloudpresscorner.com/2026-09-11-Avid-and-Google-Cloud-Expand-Strategic-Partnership-to-Deliver-Browser-Based-Media-Composer-and-Agentic-Creative-Workflows), a leading provider of media technology for film and television, is streamlining video post-production through browser-based editorial experiences and agentic creative workflows built with Gemini Enterprise. Editors and directors can use conversational content discovery, AI-assisted transcription, and intelligent media organization within their creative workflows — including within a Google Chrome browser — helping teams spend less time on manual administrative tasks and more time focused on storytelling.\n\n[**Constellation Energy Company**](https://www.googlecloudpresscorner.com/2026-10-06-Google-and-Constellation-Announce-Landmark-Agreement-to-Bring-890-MW-of-New-Nuclear-Capacity-to-PJM-Grid-as-Part-of-Long-Term-Power-Deal), a leading energy supplier, will build Gemini Enterprise agentic workflows directly into its core operations. Power generation teams will have access to advanced AI capabilities to accelerate capacity delivery, optimize asset dispatch, and protect critical infrastructure.\n\n[**Honeywell** **Technologies**](https://www.youtube.com/watch?v=9SK_FpcIbvE) Forge platform includes predictive maintenance capabilities built on Gemini Enterprise, such as contextualizing operational data at scale and providing proactive maintenance recommendations. This helps customers minimize costly, unplanned outages, protecting and extending the lifespan of their mission-critical equipment.\n\n**PayPal** built its AI platform on the Gemini Enterprise to create new commerce tools, cutting the time it takes to deploy new models from weeks to just minutes.\n\n**The Home Depot**, the world’s largest home improvement retailer, is speeding up customer support and product discovery by deploying AI voice and digital assistants built on Gemini Enterprise. DIY shoppers and contractors calling stores or using Magic Apron have skipped rigid phone menus, searched local inventory with natural speech, and resolved inquiries in real time, boosting phone resolution speeds by four-fold (understanding customer needs in under 10 seconds) while allowing in-store associates more time to focus on face-to-face shoppers.\n\n[**The RealReal**](https://www.googlecloudpresscorner.com/2026-10-08-The-RealReal-Expands-Ask-TRR-AI-Shopping-Agent-With-Google-Clouds-Gemini-Enterprise), the leading online marketplace for authenticated luxury resale, is transforming luxury consignment by deploying Ask TRR, a conversational shopping concierge built with Gemini Enterprise. Resale shoppers have navigated and searched a massive, shifting catalog using natural language instead of rigid filters, which will boost user engagement across all 45 million members while making it effortless to discover and secure rare, \"one-of-one\" luxury pieces before they sell out.\n\n[**Verizon**](https://www.googlecloudpresscorner.com/2026-08-24-Google-Cloud-Announces-Strategic-Partnership-with-Verizon-to-Scale-Enterprise-AI) is modernizing its customer and enterprise operations with Gemini Enterprise and agentic Data Cloud. The technology has helped resolve inbound customer calls and chats automatically, helped predict and resolve network anomalies, and automated marketing campaign orchestration, boosting customer satisfaction and automated resolution rates while unifying legacy data lakes into a single source of truth.\n\n[**Whenere**](https://cloud.google.com/transform/whenere-dreamlands-gemini-jane-austen-fortnite-future-of-fan-fiction), an immersive storytelling platform, is revolutionizing interactive 3D worldbuilding, starting with bringing Pride and Prejudice to Fortnite. To build the Netherfield estate, the team used **Dreamlands**, an agentic 3D worldbuilding platform built on Gemini Enterprise. With Gemini generating each new texture in about seven seconds for under ten cents, one artist created nearly 250 custom assets in a single day and completed a historically accurate estate in under a week, all while keeping full creative control.\n\nLeading hospital systems and healthcare services companies like **Highmark Health** and **Seattle Children's** rely on Gemini Enterprise to run secure administrative and clinical support workflows.\n\n**In public sector,** Gemini Enterprise is being used across the states of Arizona and Missouri, the **State University of New York (SUNY),** and the **Chief Digital and Artificial Intelligence Office,** which has put Gemini Enterprise in the hands of 3 million uniformed and non-uniformed members of the US armed services. They have built more than a hundred thousand custom agents to streamline everyday tasks.\n\n[Small and midsize businesses](https://cloud.google.com/blog/topics/startups/how-to-grow-your-small-business-using-google-gemini) including **Aerotech**, **EDSpan Global**,, **Pinch** **Creative**, **Quadrant** **Health** **Group**, **Salt** **Productions**, **Strategem,** and more are using Gemini Enterprise to empower their teams with AI agents that can streamline their operations, automate administrative workloads, help find information, and even support customer engagement. In fact, usage of Google Cloud’s AI tools by these customers has grown more than 5x year over year. \n\nOther North American startups and innovators like **Every Cure, Harvey**, **OpenEvidence, Recursion**, and **Replit** are using Gemini Enterprise.\n\nAs you build the future on Gemini, we make three firm commitments:\n\nWe take the friction out: A future-proof platform that runs anywhere, executes any task, supports your choice of models, and applies enterprise controls.\n\nWe eliminate complexity: Google builds and integrates the entire stack: silicon, models, skills, tools, and security.\n\nWhat you build stays yours: Your people and your data do not need to move, and your proprietary inputs and outputs remain entirely your own.\n\nThe technology is ready, our global partner ecosystem is scaling, and Gemini is ready to work for you.", "url": "https://wpnews.pro/news/welcome-to-gemini-at-work-2026-introducing-the-gemini-agent", "canonical_source": "https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026/", "published_at": "2026-10-08 12:00:00+00:00", "updated_at": "2026-10-08 12:17:44.436079+00:00", "lang": "en", "topics": ["ai-agents", "ai-products", "generative-ai", "artificial-intelligence", "ai-infrastructure"], "entities": ["Google Cloud", "Gemini", "Gemini Enterprise", "Thomas Kurian", "Gmail", "Google Drive", "Google Docs", "Google Sheets"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/welcome-to-gemini-at-work-2026-introducing-the-gemini-agent", "markdown": "https://wpnews.pro/news/welcome-to-gemini-at-work-2026-introducing-the-gemini-agent.md", "text": "https://wpnews.pro/news/welcome-to-gemini-at-work-2026-introducing-the-gemini-agent.txt", "jsonld": "https://wpnews.pro/news/welcome-to-gemini-at-work-2026-introducing-the-gemini-agent.jsonld"}}