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Google Gemini AI agent designed to automate business workflows and coordinate tasks across workplace applications.

Google Unveils Gemini AI Agent to Handle Complex Tasks for Businesses

October 9, 2026
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Google has announced a new agentic AI experience for Gemini that can plan and carry out multi-step tasks on behalf of users, marking a further push into autonomous workplace automation.

The announcement came on Thursday at a Google Cloud event, where executives outlined plans to help businesses use AI agents across their existing software and internal systems.

Google CEO Sundar Pichai said Gemini has more than one billion monthly active users. He also said nearly 90 per cent of Fortune 100 companies use Gemini Enterprise at work.

Gemini Agent Can Work Towards Objectives

Google Cloud CEO Thomas Kurian said the new agent can be given “objectives, not just instructions”.

Instead of simply responding to prompts, the system can plan tasks, use specialised tools and connect to business applications to complete assigned work.

The agent can access services including Google Workspace, Microsoft 365, Slack, Jira, Confluence, Git, BigQuery, Databricks, Postgres and Snowflake.

It can also connect securely to Model Context Protocol (MCP) servers inside or outside an organisation’s network. Users can provide files, folders and other project materials to give the agent context for specific assignments.

Anthropic Bans Needless Cruelty Towards Its Claude AI Models

Google said Gemini will generally select the model best suited to each task, although users can choose a model themselves. The initial selection will include Anthropic’s Claude models, with additional open-source and private models expected later.

AI Agent Gets Its Own Workplace Identity

The system will have its own Google Workspace account, including an email address and separate context. This will allow it to operate more like a digital colleague within an organisation.

According to Google, the agent can use workplace information such as team structures, time zones, approval requirements and calendar details to help complete tasks.

Employees will be able to interact with the agent by tagging it, emailing it, sharing files or adding it to group chats.

Google also plans to maintain an audit trail that attributes the agent’s actions to the AI rather than to an individual employee.

A dedicated task inbox will let users monitor progress, see how work is delegated to subagents and track the use of specialised skills and code.

Businesses Get Multiple Access Points and Cost Controls

Google said users will be able to access the agent through iOS and Android devices, Windows and Mac desktops, the command-line interface, Google Workspace, Microsoft 365, ServiceNow and Slack.

Early testers included sportswear company On, e-commerce platform Shopify and payments company PayPal.

Google also identified BNP Paribas, Bradesco, Merck, Orange Spain, Santee Cooper, SOMPO, Ulta Beauty and Wesfarmers among its Gemini Enterprise customers.

To help businesses control expenses, Google is introducing flexible options that include multi-model orchestration, smart routing and real-time spending limits.

These features are intended to help organisations manage costs while deploying AI agents across different workflows and applications.

Google Targets Enterprise AI Adoption First

Google is initially focusing on businesses as it addresses the security, performance and scalability challenges associated with more autonomous AI systems.

The strategy reflects growing competition among technology companies to move beyond conversational assistants and develop agents that can execute tasks across applications with less direct supervision.

Google plans to bring the experience to consumers at a later stage. However, the company did not announce a date for the wider consumer rollout.

The launch signals another step towards AI systems that can manage complex workflows rather than simply generate text or answer questions. Their broader adoption will depend on how effectively companies address security, oversight, reliability and cost.

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