Quick Read Summary
- Google is introducing a Gemini agent designed to plan and carry out tasks across connected business systems.
- The company says it can connect to services including Google Workspace, Microsoft 365, Slack, Jira, Confluence, Git and data platforms.
- The business-first rollout puts emphasis on administration, permissions and oversight as companies test software that can act on their behalf.
Google is bringing task-running agents to Gemini, starting with business users, TechCrunch reported on 8 October US time. The system can take an objective, plan a sequence of steps and use connected tools to complete work, rather than responding only to one prompt at a time.
Google said the agent can connect to services including Google Workspace, Microsoft 365, Slack, Jira, Confluence, Git, BigQuery and Snowflake. The company also described a task interface that lets users follow progress and review activity. Actions aim to be recorded under the agent’s own account, which can help administrators distinguish automated work from actions taken by an employee.
Many office tasks involve moving information between systems: finding a document, checking a ticket, preparing a summary, updating a record and notifying a colleague. A system that can handle several steps could reduce repetitive work, particularly when the task has clear instructions and the connected services expose reliable controls.
However, an agent’s usefulness depends on more than the quality of its language. It must select the right files, interpret conflicting information, recover from failed actions and avoid making changes the user did not authorise. A polished summary is not sufficient if the underlying action is wrong.
Connecting an agent to company calendars, repositories, messages and databases increases the consequences of a mistake. Administrators need to determine which data the agent can read, which actions it can take and which steps require human approval. Logging should let reconstruct what the agent accessed and changed.
Google’s decision to start with businesses reflects the need to address those questions in environments where security and compliance rules are already defined. Companies will still need to set their own policies and test the agent against their internal workflows before giving it broad access.
Google said Gemini has a large existing user base and broad enterprise adoption, but those figures do not show how many organisations will allow agents to execute tasks autonomously. Companies may begin with low-risk work such as collecting information or drafting updates before permitting changes to business systems.
What the agents can do
The practical measure will be whether the agent saves time without increasing review work or introducing new errors. Buyers will also want to know how data is retained, how permissions are inherited and what happens when an agent encounters an ambiguous instruction.
Task-running software could become useful in workplaces, but it moves the product question from ‘Can it answer?’ to ‘Can it act safely and predictably?’ That is a harder standard to meet.
A conversational assistant can be useful even when a user checks its answer before acting. An agent that changes a file, updates a ticket or sends a message needs stronger safeguards because the action may have consequences outside the chat. It must recognise when instructions are ambiguous, stop when permissions are missing and provide a record of what it did.
These requirements make evaluation more complicated than testing whether the system produces a plausible response. Businesses need to measure task completion, error rates, reversibility and the amount of human review required. A system that finishes quickly but makes occasional high-impact mistakes may not save time overall.
Connections to office suites, project-management systems and data platforms can make an agent more useful because it can work across the tools employees already use. The same connections can expose more information than a user intended if permissions are broad or inherited incorrectly.
Administrators should start with narrow access, separate read-only tasks from actions that change records and require approval for sensitive operations. They should also ensure that the agent's activity can be audited and that access can be revoked quickly if an account or workflow behaves unexpectedly.
Before a broad rollout, organisations can choose a small set of repeatable tasks and compare the agent's results with a human baseline. The test should include routine cases, incomplete instructions and failure scenarios. Reviewers should record how often the agent needs intervention and whether its errors are easy to detect and reverse.
Businesses should also review data-retention terms, model access, regional availability and the handling of confidential material. A vendor's general security claims do not replace an organisation's own assessment of the systems it connects.