Welcome to Gemini at Work 2026: Introducing the Gemini agent

Key announcements include:

• Gemini – a unified, versatile agent: Capable of handling a wide range of tasks—from answering questions and managing knowledge-based work to generating images and media, as well as writing and executing code.
• Seamless integration with Google Workspace: Gemini operates directly within Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, maintaining consistent access to context, capabilities, and unified controls across the entire suite.
• New data analysis and processing capabilities: Enabling both technical teams and everyday business users to ask questions in natural language and receive actionable operational insights in a matter of minutes.
• Industry-specific specialization: Tailored tools, skills, pre-built connectors, and domain-specific knowledge designed for sectors such as financial services and legal.
• Agent security and governance: Robust governance frameworks, including identity management, access policies, granular permissions, secure sandbox environments, and an "Agent Gateway" for network connectivity.
• Advanced cost control: Features such as multi-model orchestration, Smart Routing, and real-time spending limits.
• Real-world customer use cases: Demonstrating the scale and depth of adoption by organizations globally.

Bringing cutting-edge technology to customers is a core tenet of Google Cloud’s mission. Over the past year, nearly 500 Google Cloud customers have each processed over a trillion tokens. Today, nearly 80% of Google Cloud customers use Google’s AI products, and nearly 90% of Fortune 100 companies have adopted Gemini Enterprise.

At this scale, organizations have moved beyond mere experimentation; they are now running their core business operations on an AI-powered foundation. Today, virtually any task can begin with a simple prompt. To meet this need, Google has introduced the Gemini agent—a unified, versatile agent designed to support your work.

The Gemini agent grasps the full business context of an organization and can handle a wide range of tasks—from conducting research and answering questions to creating content and writing software—all through a single prompt interface. The system plans workflows, leverages specific skills and tools, connects to existing data systems, and delivers complete results directly within the documents, email inboxes, or development environments you already use. It automatically selects the optimal model for each task, incorporates built-in cost controls, and adheres to the most rigorous corporate standards for safety, governance, and internal controls.

Introducing the Gemini Agent

Gemini handles inquiries, manages knowledge-based tasks, generates visual and media content, and writes and executes code—all through a single agent and a unified API. Instead of providing manual, step-by-step instructions, you simply define the end goal, and the agent delivers the completed result. To achieve this, the agent connects directly to your personal workflows, enterprise data systems, and internal governance policies.

Gemini can function as a personal assistant or a team member, acting on behalf of a group (such as a departmental project manager) or fulfilling a specific professional role (such as a financial analyst). Its autonomous capabilities are built upon several core architectural principles:

• Unified Agent: Gemini serves as a single agent capable of answering questions, proactively working to achieve assigned goals, and generating code—all within one interface. You can delegate tasks, schedule operations, or configure the agent to respond automatically based on specific triggers.
• Omnipresent Access: Gemini operates flexibly across all devices (web, iOS, Android, Windows, and Mac) and communication channels (command line, Google Workspace, Microsoft 365, and Slack). It can also be integrated into third-party applications or function as an independent "headless" agent, operating without the need for a dedicated user interface.
• Persistent Execution: Running entirely in the cloud, Gemini maintains a consistent memory, context, and personalized knowledge graph across all devices and access channels. You don’t need to summarize information from scratch or keep track of which computer a task is running on. Tasks that span hours or even days continue to run in the background—even when you close your laptop—with all progress preserved for when you return.
• Multi-agent orchestration: Gemini doesn’t operate in isolation. The system can dynamically generate "sub-agents"—temporary agents created for specific tasks, each with its own unique identity—to handle complex, multi-step workflows. Gemini coordinates with these sub-agents to manage tasks sequentially or in parallel over the course of hours or days. Furthermore, Gemini can function as a "coworker agent" with a persistent identity that remains consistent across work sessions, taking on various evolving responsibilities. These coworker agents have their own identities, complete with internal email addresses (e.g., @agents.company.com), dedicated storage, and access restricted strictly to the context authorized by you or your colleagues.
• Deeply contextual: Gemini approaches tasks with a pre-existing understanding of your tools, data, and work history. With every question, assigned objective, or piece of code generated, Gemini continuously learns from these interactions. Teams can create distinct projects to optimize the context, skills, and tools that Gemini utilizes when collaborating with human team members.
• Model choice flexibility: Gemini serves as an agent-orchestration layer, while the underlying foundational model remains a flexible choice. The system routes each task to the most suitable model—orchestrating across Google’s Gemini family, Anthropic’s Claude family, and other advanced open-source or proprietary models—to ensure optimal quality while maintaining cost-efficiency. The best model for a given task is not necessarily the largest one; matching the right model to the specific nature of a task enhances accuracy for complex challenges and significantly reduces costs for simpler operations.

Many world-leading companies have already adopted this approach with proven, real-world results: sportswear brand On leverages flexible model selection to accelerate its time-to-market; Shopify integrates various top-tier models to help millions of merchants unlock data insights and drive revenue growth; and PayPal orchestrates over 10 million multi-model requests per week through the system.

Operating Gemini: Skills, Tools, and Context

Gemini gains a deep understanding of a business’s core operations—ranging from pricing policies and product portfolios to departmental culture and internal knowledge bases. This capability is driven by three fundamental pillars:

• Tools and Tools Registry: Gemini connects securely to the software a business already uses, including collaboration tools (Confluence, Microsoft Office, Teams, Slack, Workspace), development tools (Git, Jira), enterprise management platforms (Salesforce, ServiceNow), databases (BigQuery, Databricks, Postgres, Snowflake), and local files. The system also interacts securely with any Model Context Protocol (MCP) server, whether internal or external. Furthermore, the enterprise tools registry allows departments to build and share tools for use across the entire organization.
• Skills and Skills Registry: Skills are sets of instructions, knowledge, or reusable workflows—stored as modularized prompts—that train an agent to execute complex, multi-step tasks. Gemini provides a library of globally standardized skills. Teams can develop and publish custom skills to the shared enterprise registry, while individual users can also create their own personal skills. Gemini automatically selects the most appropriate skills and tools for each task, continuously learning from every execution to improve accuracy and optimize token costs.
• Context and Memory: Gemini absorbs knowledge from every query, assigned objective, and collaboration, integrating both individual and organizational context to deliver the highest-quality responses. The system maintains four specialized layers of memory:
  • Session memory: Stores the progress of ongoing tasks, even those spanning multiple days.
  • Semantic memory: A structured knowledge base built through reading documents, exchanging information, and interacting with other agents.
  • Procedural memory: Retains the methods for executing tasks, including skills the agent has developed for itself.
  • Episodic memory: Stores the complete history of all previously performed tasks.

Organizations that have achieved exceptional results by implementing Gemini Enterprise include:

• BNP Paribas: A leading European financial institution that integrated Gemini Enterprise into "LLM@CIB"—an internal AI assistant serving over 65,000 employees. It optimizes credit documentation processes and enhances client advisory productivity while upholding rigorous corporate security standards.
• Bradesco: A major Brazilian financial and banking group that utilizes Gemini Enterprise to automate the analysis of fiscal data, accounting, and contracts. Their finance team reduced document review time from one hour to five minutes, cut error risks by 60%, and improved financial efficiency by over 10%.
• Accelerates molecular research, significantly shortening the timeline for scientific discovery while ensuring absolute data security. Mở rộng nghiên cứu phân tử với khả năng rút ngắn đáng kể tiến độ khám phá khoa học trong khi vẫn bảo đảm an toàn dữ liệu tuyệt đối.
• Orange Spain: Deployed over 1,000 custom agents built on Gemini Enterprise across HR, IT, sales, and customer service departments. These agents automate network incident classification and internal knowledge retrieval, effectively eliminating bottlenecks caused by dependency on the IT department.
• Santee Cooper: This South Carolina-based public utility has modernized its financial planning and grid reliability efforts using specialized models from Gemini Enterprise, accelerating financial scenario simulations by up to 75% for its $10 billion grid development budget.
• SOMPO: The Japanese insurance firm has deployed over 10,000 AI agents to support 34,000 employees, automating document research and summarization; this has reduced the time required to develop new models from one week to just a single day.
• Ulta Beauty: The company launched an AI-powered shopping assistant that helps customers navigate a catalog of 30,000 products. By offering natural language-based guidance rather than relying on traditional search filters, the tool has tripled digital sales conversion rates.
• Wesfarmers: The Australian retail conglomerate—which owns Bunnings, Kmart, and Officeworks—has implemented an extensive system of AI agents. Internal agents at Bunnings have saved employees 500,000 hours of administrative work, while customer-facing shopping agents have tripled conversion rates at Kmart and Officeworks.

Gemini in Google Workspace

Gemini goes beyond simply providing information or writing code; it operates directly within GmailDrive, Docs, Slides, Sheets, Chat, and Calendar, maintaining a consistent context—including memory, capabilities, and governance policies—across these applications. It functions interactively within email threads, documents, and chat spaces through three key mechanisms:

• Personal assistance: Gemini has a comprehensive understanding of your work schedule, collaborators, ongoing projects, and the interconnections between your documents. For instance, you can ask Gemini to schedule a meeting with a regional project lead for next week without needing to provide any names or email addresses. The system identifies the relevant individuals by analyzing chat space memberships and recent discussion threads, checks their calendars, and sends out coordination emails to find a suitable time—even for guests outside your organization. Gemini also handles cross-application tasks seamlessly: it can research market trends, build financial models in Sheets, and then create a presentation in Slides, all without requiring you to re-explain the context at each step.
• Proactive delegation: The system identifies tasks that can be delegated. If a manager sends an email requesting a progress report in the form of a slide deck, Workspace recognizes this as a delegatable task and provides a one-tap option for you to assign it to Gemini. The system applies similar reasoning to your inbox, prioritizing and highlighting the most important emails—rather than simply sorting them chronologically—while providing specific justifications for why they are prioritized.
• A member of your team: You can use Gemini to create a "coworker agent" to serve an entire department. Simply describe the required role, and Gemini will set up an agent with its own dedicated Workspace account—complete with an email address, calendar, and Drive access—which will also appear in the company directory. Colleagues can interact with this agent just as they would with a human team member, by adding it to a Chat space or mentioning it (@mention). For example, a marketing lead could task an event-coordination agent with drafting the documentation needed for a product launch. The agent will provide the completed draft in the group chat or suggest edits directly within Google Docs—appearing as a contributor, with all changes clearly visible in the version history. The coworker agent operates with its own independent identity, accessing only the data shared with it and strictly adhering to the team’s existing permission settings.

Data Analytics, Data Engineering, and Machine Learning

Data and analytics serve as the core foundation that enables Gemini to transform natural language queries into actionable insights in a matter of minutes. Google Cloud offers specialized features tailored for both technical teams and business users:

• For Data Engineers and ML Engineers: Gemini provides advanced machine learning tools and capabilities. Engineers can simply describe their desired outcomes in natural language, and Gemini will automatically generate PySpark code, provide notebooks for editing and testing, facilitate model training, and even detect and resolve errors within data pipelines.
• For Business Users: Anyone in an organization can generate real-time operational reports by asking simple, natural-language questions. Gemini integrates operational reporting capabilities with BigQuery and Knowledge Catalog to define and store queries. Once saved, teams can re-run these reports as needed without incurring additional token costs, ensuring consistent and accurate results.

Three Google Cloud infrastructure capabilities ensure data authenticity:

• Knowledge Catalog: Gemini integrates directly with Knowledge Catalog, allowing business definitions to be mapped once and used consistently across all agents. By gaining a deep understanding of data structures and business rules—such as those for metrics like "net profit margin" or "target market size"—Gemini delivers significantly higher accuracy. Whether a metric resides in Databricks, dbt, LookML, or SAP, Gemini accesses it directly from the original source.
• Smart Storage: 90% of enterprise data exists in an unstructured format (such as PDFs, images, scanned documents, or audio recordings). Smart Storage directly enriches unstructured objects in place, embedding context directly into the objects themselves. All knowledge is preserved where the data resides, inheriting existing security policies seamlessly.
• Borderless Lakehouse: Organizations no longer need to copy or move data to leverage artificial intelligence. The Borderless Lakehouse architecture enables Gemini to query data directly from Amazon S3 and Azure Data Lake—without incurring data egress fees—as well as read directly from Salesforce Data 360, SAP, and Workday. It also links open-format tables (Apache Iceberg) across Databricks Unity, Snowflake Horizon, and AWS Glue.

Customers are realizing tangible value from these data solutions:

• Bloomberg Media: Improved the accuracy of SQL queries by 63% during the initial development phase by integrating data agents into the Knowledge Catalog.
• Deutsche Telekom: Consolidated fragmented data infrastructure—spanning over 40 legacy on-premises systems—into a lakehouse built on BigQuery, Cloud Storage, and the Knowledge Catalog. This accelerated team workflows tenfold while ensuring full compliance with European data sovereignty standards.
• Etsy: Migrated 3 petabytes of data to a unified lakehouse environment based on BigQuery and Apache Iceberg, increasing the speed of joining critical datasets by up to 60% and enabling model training on significantly larger datasets.
• Snap: Connected the Prism agent directly to its data repositories, reducing the time required to diagnose technical issues from 30 minutes to just 30 seconds.

Industry-specific specialization

Every business sector operates based on specialized knowledge that a generalized model cannot fully encompass. Google has tailored Gemini with specific skills, tools, and domain expertise for individual industries. Previews are now available for the Financial Services and Legal sectors, with upcoming launches planned for Government, Healthcare, and Retail.

• Financial Services: Gemini automates previously fragmented tasks, such as investment research, credit analysis, and risk modeling. It leverages trusted financial data sources—including FactSet, LSEG, S&P Global, SEC filings, and a firm’s own internal databases. Built with over 50 foundational skills and designed to comply with rigorous financial regulations, the system provides transparent reasoning—offering confidence scores, clear methodologies, data lineage for auditing, and full source citations. This solution has already been implemented by CME Group and Deutsche Bank.
• Legal: Gemini integrates case-level access controls and "ethical walls" directly from document management platforms like NetDocuments and iManage. Partners such as Harvey use the technology to automate complex legal tasks while adhering to the strict security standards required by law firms, while Onit utilizes it to streamline contract lifecycle management. The law firm Cooley employs Gemini Enterprise for Legal to build automated agents that scan for and redact sensitive information—including personally identifiable information (PII)—prior to public filings. This capability saves days of manual document review in complex litigation.
• Specialized Application Ecosystem: Deloitte has developed a multi-agent solution that helps enterprises identify the most high-value opportunities for AI implementation. The Agentic AI blueprint establishes an operational heat map, accelerating the deployment of autonomous workflows by a factor of three.

Agent Security and Governance

The two critical factors for the successful scaling of agents within an enterprise are governance and operational costs. Agent governance addresses four core questions:

1. Who is this agent, and what is its identity?
2. What actions is the agent permitted to perform, and what privileges has it been granted?
3. What operations has the agent carried out, and where can the logs be reviewed?
4. Which data domains is the agent strictly prohibited from accessing?

The corresponding technical mechanisms include:

• Identity: Each agent is assigned a unique, cryptographically verified identity, managed with the same rigor as a human employee and governed by the principle of least privilege. This identity is recorded in all activity logs and linked to the virtual machines instantiated to execute the agent’s code.
• Authorization and Permissions: Security administrators establish granular access controls based on the Role-Based Access Control (RBAC) model. When Gemini connects to external systems, the agent’s identity is mapped and transmitted using industry-standard security protocols, such as OAuth.
• Auditing: Every action taken by Gemini is captured in an audit trail, ensuring precise accountability for the agent. Administrators can monitor these logs in real-time to detect anomalous behavior early.
• Policy Management and Control: All Gemini agents operate securely within an "Agent Sandbox," featuring isolated network boundaries. All inbound, outbound, and inter-agent traffic must pass through an Agent Gateway —an AI-specific network firewall that enforces organizational policies in real-time. A policy only needs to be set up once (for example, “Agents are not permitted to open confidential documents”) and will then be automatically and consistently applied to all agents across the company.

Cost Control and Top Spending Options

Although the unit cost per token has dropped by 98% since 2024, total AI usage within enterprises has surged. Google Cloud offers flexible spending management options:

• Multi-model orchestration: Allows for the flexible combination of various models for different stages of a large-scale project, ensuring maximum efficiency at the lowest possible cost.
• Smart routing: An automated tool that categorizes workloads and directs them to the model that delivers the best performance at the most optimal cost.
• Real-time spend caps: Enables the setting of fixed cost ceilings for individual AI projects via the Cloud Billing Console. If a limit is reached, the project’s agent will pause, but can be reactivated with a single click. Project-based tracking makes it easy for enterprises to allocate AI costs to the appropriate departments.

Hardware Infrastructure: Cost-Performance Optimization with Over 80% Greater Efficiency

All these innovations—from agents, data, and identities to every other component—operate on Google’s AI infrastructure and models. This is what ensures economic viability.

First, consider the AI ​​infrastructure. Google co-designs its chips, networking, data centers, and software, integrating them into a highly optimized system known as an "AI Hypercomputer." This vertical integration delivers a price-performance ratio that far exceeds conventional setups, and Google continues to push the technological boundaries in this field. For instance, the latest TPU 8i system delivers an 80% improvement in price-performance compared to the previous generation, enabling the rapid execution of complex, high-value tasks at a highly cost-effective rate.

Built upon this hardware platform is an ecosystem of models: 

• Designed for frontier-level deep reasoning tasks. Dành cho các tác vụ suy luận sâu đỉnh cao (frontier reasoning).
• Optimized for speed and high-throughput processing. Tối ưu cho tốc độ và khối lượng xử lý lớn.
• Specialized for multimedia processing and generation. Chuyên biệt cho xử lý và sáng tạo đa phương tiện.
• Gemma: A family of lightweight, open-weight models tailored for edge computing. NASA’s Jet Propulsion Laboratory (NASA JPL) currently runs Gemma directly on a satellite orbiting Earth, utilizing the NAVI software to analyze imagery of the planet and transmit summarized reports back to the ground.

Empowering Your Business with the Google Cloud Ecosystem

Google is committed to maintaining flexibility in choice across every layer of the technology stack, ensuring you can always select the solutions that best align with your specific needs.

Within the Gemini ecosystem, you have access to a wide range of agents from leading Software-as-a-Service (SaaS) providers, along with ready-to-use connectors. Finding these solutions is now easier than ever, thanks to the collections available on the new “AI Solution Finder” tool.

The ecosystem of services surrounding Gemini is also expanding rapidly to meet the demands of enterprises. In the last month alone, Google’s global consulting partners hosted Gemini-focused hackathons for over 100,000 of their developers and consultants.

Furthermore, Accenture has made a significant investment by establishing the “Gemini Enterprise Business Group” to accelerate enterprise adoption. Global consulting partners have trained more than 100,000 professionals through hackathons and have built centers of innovation excellence to help clients deploy agents in real-world environments more quickly.

Gemini Enterprise Case Studies: Driving Global Growth

Organizations around the world are achieving measurable impact:

Europe and the Middle East

• Arden University (UK): Deployed Gemini Enterprise for over 30,000 students and faculty members to personalize the learning experience.
• Commerzbank (Germany): Reduced document review time from 20 hours to 1 hour, with plans to develop a multi-agent system for quality management.
• Lloyds Banking Group (UK): Utilized the Envoy pipeline—powered by Gemini—to enable nearly 1,000 engineers to build solutions for fraud prevention and commercial client onboarding.
• Nokia: Implemented a network of specialized agents to automate telecommunications network troubleshooting, reducing incident resolution time by up to 80%.
• On (Switzerland): Provided a no-code agent tool for all employees to facilitate knowledge extraction, executive reporting, and market research.
• Ooredoo Qatar: Deployed AI agents across customer support, marketing, security, and technical operations departments.
• Qatar University: Operates over 2,000 custom agents to modernize administrative processes and enhance the efficiency of academic research.
• Ryanair: Implemented Gemini Enterprise and Google Workspace for 35,000 employees to optimize crew scheduling and strengthen its multi-cloud infrastructure, supporting its goal of serving 300 million passengers by 2034.
• Starling Bank (UK): Developed a "Scam Intelligence" tool that has quadrupled the rate at which customers identify and cancel fraudulent payment transactions.
• Other notable clients: Berenberg Bank, Bouygues Telecom, the Lovable platform, and Siemens.

Asia-Pacific (APAC)

• Airwallex: Reduced customer incident processing time by 10x, cut dispute resolution time by 40%, and accelerated software launch timelines by over 95%.
• DBS Bank (Singapore): Deployed a series of 70–80 specialized agents to aggregate financial and legal information for corporate credit profiling.
• Hitachi: Implemented an AI solution on the HMAX platform for field staff, covering over 200 operational scenarios (such as identifying tools or cables via image recognition) and boosting productivity by 30%.
• NTT DOCOMO (Japan): Reduced the time required to extract detailed information from two weeks to near-instantaneous, saving the company 450,000 man-hours annually..
• Tata Steel (India): Deployed over 300 AI agents within nine months, enhancing production safety, optimizing the supply chain, and reducing customer complaint processing time by 50%.
• Zip (Australia): Established an "AI-Native Product Factory" that integrates customer research, design, engineering, and regulatory compliance.
• Other leading organizations: LG Electronics, Marubeni, Tata Consultancy Services (TCS).

Latin America (LATAM)

• Banco BV (Brazil): Automated the drafting of personalized customer service scripts, increasing interaction speed by 80%.
• CNA/SENAR (Brazil): Launched the "JoIA" chatbot on WhatsApp—powered by Gemini Enterprise—for 40,000 active users, helping 5 million farmers access weather forecasts and agricultural commodity prices.
• Farmacias del Ahorro (Mexico): 1,000 employees use the PotencIA solution in their daily tasks, resulting in 140,000 hours of annual productivity gains.
• Globo (Brazil): The PlanejaAI application has improved the accuracy of software development planning by 33% and reduced validation time from 20 minutes to just 6 seconds.
• Grupo Bafar (Mexico): Reduced the time required to finalize store-opening contracts from 140 minutes to 17 minutes per branch.
• Laureate Education: Serves nearly 500,000 students in Mexico and Peru by personalizing learning paths and modernizing institutional administration.
• Other notable examples: Delivery service iFood, loyalty program Livelo, public service organization SEBRAE, and education group Yduqs.

North America

• Albertsons (US): Utilizes computer vision and Gemini to automatically assess the freshness of produce at distribution centers, ensuring consistent quality standards.
• Avid: Integrates AI-driven content discovery and editing workflows directly into the Google Chrome browser for film directors and editors.
• Constellation Energy: Incorporates agent-based workflows into power generation, optimizing asset dispatch and protecting critical infrastructure.
• Honeywell: The Forge platform integrates predictive maintenance capabilities, helping industrial enterprises minimize unplanned downtime. Developed an AI-powered e-commerce platform, reducing the time required to deploy new models from several weeks to just a few minutes.
• PayPal: Xây dựng nền tảng thương mại điện tử bằng AI, rút ngắn thời gian triển khai mô hình mới từ nhiều tuần xuống vài phút.
• The Home Depot: The "Magic Apron" virtual assistant handles support calls by identifying customer needs in under 10 seconds—four times faster than the previous system.
• The RealReal: The "Ask TRR" platform enables its 45 million members to search for luxury goods using natural language, eliminating the need for rigid, predefined filters.
• Verizon: Automates the resolution of incoming calls, predicts network anomalies, and consolidates fragmented data into a single, unified source of truth.
• Whenere: Builds interactive 3D worlds on the "Dreamlands" platform; a single artist can create nearly 250 graphic assets in just one day and complete an entire historical architectural campus in less than a week.
• Healthcare and the public sector: Major hospital systems such as Highmark Health and Seattle Children’s; the state governments of Arizona and Missouri; the State University of New York (SUNY); and the U.S. Department of Defense’s Chief Digital and Artificial Intelligence Office (CDAO)—which serves 3 million military and civilian personnel.
• Small and medium-sized businesses (SMBs) and innovative enterprises: Aerotech, EDSpan Global, Pinch Creative, Every Cure, Harvey, OpenEvidence, Recursion, and Replit—with usage of Google Cloud’s AI tools among these organizations growing more than fivefold year-over-year.

Google’s three commitments to enterprises

As you build your future on the Gemini platform, Google adheres to three steadfast principles:

1. Remove all barriers: Benefit from an operational platform that is flexible across any environment, capable of executing any task, supports the freedom to choose your preferred model, and incorporates enterprise-grade security controls.
2. Eliminate complexity: Google designs and integrates its entire technology stack—from semiconductor hardware, foundational models, and specialized skills to tools and security architecture—into a seamless, unified system.
3. Retain full ownership: Your personnel and data remain where they are; all proprietary input data and generated outputs belong exclusively to your organization.

Partner with Gimasys to implement Gemini solutions in Vietnam

Deploying advanced AI agent models into business operations requires a deep understanding of cloud architecture, information security, and the practical operational workflows of an enterprise. To rapidly harness the power of Gemini Enterprise and the Google Cloud ecosystem, businesses can collaborate with Gimasys—a leading, high-level strategic partner of Google in Vietnam: Gimasys – đối tác chiến lược cấp cao hàng đầu của Google tại Việt Nam:

• Trusted Google Cloud Premier Partner: With over 20 years of experience in consulting and implementing digital transformation for hundreds of major corporations, financial institutions, and large enterprises, Gimasys offers a structured, professional implementation approach that ensures compliance with global technology standards.
• Architectural consulting and Proof of Concept (POC) deployment: Our team of experts—holding advanced Google certifications (Professional Cloud Architect, Cloud Security Engineer, Data Engineer)—will assess your infrastructure, develop tailored AI agent scenarios, and execute a Proof of Concept (POC) using your sample data within 7–10 days, prior to a full-scale rollout.
• Cost optimization and budget control: We assist in establishing smart routing mechanisms and real-time spending limits, while helping you select the Gemini for Google Workspace/Google Cloud SKU plan best suited to your operational scale.
• Transparent payment and legal compliance in Vietnam: Businesses can make payments directly in Vietnamese Dong (VND) and receive valid, fully compliant Value Added Tax (VAT) invoices. This effectively eliminates challenges related to foreign contractor taxes and credit card payments in foreign currencies.

If you are interested in testing or deploying Gemini agent solutions for your organization, please contact the team of experts at Gimasys for in-depth consultation.