Google Unleashes 'Agentic AI' Power to Gemini for Businesses

Google Cloud has announced a significant evolution for its Gemini AI, ushering it into the "agentic age" with the launch of a unified agent. This new capability allows Gemini to move beyond simply answering questions, enabling it to take proactive steps and get things done on a user's behalf, all managed through a single, streamlined interface. This development reflects a broader industry trend where AI tools are transitioning from purely conversational experiences to sophisticated agents capable of owning and executing assigned tasks, such as generating code, scheduling meetings, booking appointments, and managing travel arrangements.

The introduction of Google's agentic AI follows the emergence of other consumer-facing agents, including Meta’s Muse, messaging-based agents like Instinct, and the recent debut of ChatGPT’s Dots. Despite these competitors, Google holds a strong position for achieving scale with its agentic efforts. Google CEO Sundar Pichai highlighted at the event that Gemini currently boasts over 1 billion monthly active users, and nearly 90% of Fortune 100 businesses already leverage Gemini Enterprise. Given this extensive adoption in the corporate sector, Google's initial strategy will be to deploy the agent to businesses, with a subsequent rollout to individual consumers. This phased approach, according to Pichai, will enable the company to address and resolve the "harder problems around security, scale, and performance" inherent in launching such powerful AI agents.

Thomas Kurian, CEO of Google Cloud, elaborated on the agent's advanced capabilities, explaining that it can be provided with "objectives, not just instructions." This distinction is crucial, as it empowers the agent to autonomously plan its work, utilize custom skills and tools, and seamlessly integrate with businesses' internal systems to achieve its specified goals. By default, the AI is designed to select the most appropriate model for any given task. However, users retain the flexibility to override this default and choose a specific model, including those from third parties, beginning with Anthropic’s Claude models. Google has indicated plans to further expand this model picker to encompass open-source and other private models in the future.

The agent's functionality is enhanced by its ability to process requests that include various attachments, such as files, folders, or specialized projects tailored for particular workstreams. Its robust connectivity allows it to link to a wide array of business data and systems, including Google Workspace, Microsoft 365, Slack, Jira, Confluence, Git, BigQuery, Databricks, Postgres, and Snowflake, among others. Furthermore, it can securely connect and operate with any Model Context Protocol (MCP) server, whether located inside or outside the company's network.

To ensure transparency and user oversight, Google has implemented a "tasks inbox" interface where users can monitor Gemini's activities. This interface provides insights into the AI's thinking process, how it delegates tasks to subagents, loads special skills and code, and its overall progress. Notably, the AI will operate with its own dedicated Workspace account, effectively functioning as an integrated co-worker. This means it will possess its own email address and maintain its own context, understanding company hierarchies, team structures, time zones, approval workflows, and individual calendars. Users can easily engage with the agent by tagging it, emailing it, sharing content with it, or adding it to a group chat. Critically, as the agent performs actions, it generates an audit trail that is specifically attributed to the agent, rather than an individual person, ensuring clear accountability.

The Gemini agent is designed for broad accessibility, available across multiple platforms including iOS and Android mobile devices, Windows and Mac desktops, the command line interface, Google Workspace, Microsoft 365, ServiceNow, and Slack. Early testers of the agent included prominent brands such as sportswear company On, Shopify, and PayPal. Google also highlighted that its Gemini Enterprise customer base comprises large corporations like BNP Paribas, Bradesco, Merck, Orange Spain, Santee Cooper, SOMPO, Ulta Beauty, and Wesfarmers. To assist businesses in managing their enterprise AI expenditures effectively, Google has introduced new flexible spending options, which include multi-model orchestration, smart routing, and real-time spend caps.