Google has announced a new Gemini AI agent for enterprise users that is intended to work across multiple apps and devices from a single interface. The company presented the tool at its Gemini at Work event, describing it as a more universal assistant that can handle work tasks in the background while maintaining context across different environments.

For businesses, the announcement matters less as a standalone product launch and more as a signal of where workplace AI is heading: from chat-based assistance inside one application to agent-style systems that can coordinate actions across email, documents, calendars, collaboration tools and mobile or desktop workflows.

What happened

According to Google's announcement, the new agent will be available within the Gemini Enterprise app. Users will be able to interact with it through one interface and assign work-related tasks, rather than switching between separate AI features in different applications.

Google said the agent is designed to work inside Workspace apps including Gmail, Drive, Docs, Sheets and Calendar. The company also said users will be able to access it from mobile devices, desktop computers, the web and some third-party applications such as Slack or Microsoft 365. Because the system runs in the cloud, Google says it can keep the same context across those different environments.

At this stage, the available information is based on Google's announcement and product positioning. Practical availability, feature depth, regional rollout, integration limits, pricing and administrative controls may determine how useful the tool is for different organisations in practice.

Why it matters for European businesses

The main business implication is workflow consolidation. Many SMEs and mid-sized companies now use a mix of Google Workspace, Microsoft tools, chat platforms and SaaS applications. An AI agent that can move across those systems could reduce manual coordination work such as summarising conversations, preparing follow-ups, checking calendars, locating files or helping staff switch between tools.

For marketing, sales, operations and support teams, this could mean faster handling of routine digital tasks. For IT and business leaders, however, it also raises familiar questions about data access, permissions, auditability and governance. An agent that can act across systems may deliver more convenience, but it also increases the importance of clearly defined access controls and internal rules about what information staff can expose to AI services.

European companies should also view this in the context of growing competition around enterprise AI agents. Large vendors are moving from assistant features toward broader orchestration layers that sit above workplace software. That could affect software selection, productivity planning and future automation strategies, especially for companies standardising on either Google or Microsoft ecosystems.

Who may be affected

• SMEs using Google Workspace: businesses already working in Gmail, Docs, Sheets and Drive are the most obvious audience for this type of agent.
• Cross-platform organisations: companies using both Google and non-Google tools such as Slack or Microsoft 365 may be interested if integrations are mature enough for real workflows.
• Marketing and operations teams: teams that spend time coordinating content, approvals, reporting, schedules and internal communication may see practical productivity benefits first.
• IT and security teams: they will need to assess identity management, access rights, logging, data handling and integration risk before broad deployment.
• Regulated or privacy-sensitive businesses: organisations handling sensitive customer, employee or commercial data may need more detailed contractual and compliance review before adoption.

What companies should consider

• Map the use cases first: identify repetitive cross-app workflows where an AI agent could realistically save time, such as meeting preparation, inbox triage, internal knowledge retrieval or document drafting.
• Review permissions carefully: the value of an agent often depends on broad access to email, files, calendars and chat systems. Businesses should check whether existing permission models are appropriate for AI-mediated access.
• Assess data governance: understand what business data the tool can access, how context is retained, what admin controls are available and how activity can be monitored.
• Test in a limited rollout: pilot the tool with a defined team before wider deployment, especially where external communication, customer data or regulated information may be involved.
• Compare ecosystem fit: companies choosing between Google-centric and Microsoft-centric AI workflows should look beyond headline features and evaluate where their files, communication and automation processes already live.
• Watch for compliance and contractual details: European businesses should verify region-specific terms, data processing arrangements and enterprise governance features before rolling out agent-based workflows at scale.

For now, Google's announcement shows that enterprise AI is moving closer to a single assistant layer that spans multiple applications rather than remaining embedded in isolated tools. For European businesses, the practical opportunity is productivity and workflow automation, but the real value will depend on integration quality, governance controls and whether the agent fits existing software and compliance requirements.