Google has released Workspace Studio, a platform that lets workers create AI agents inside Google Workspace without using code.
The new feature brings agent-building features directly into Gmail, Drive, Chat and other Workspace apps.
Employees can build agents using natural language rather than scripts or specialist tools, which makes the system accessible to a much larger audience.
“Harnessing the reasoning power and multimodal understanding of Gemini 3, we’ve built AI automation that’s simple to use, deeply integrated into Google Workspace, and puts custom agent creation in the hands of every employee,” said Farhaz Karmali, Product Director, Google Workspace Ecosystem.
“With Workspace Studio, you can build agents in minutes to automate everyday work, from simple tasks to complex workflows — no coding or specialized syntax required.”
The release also comes at a time when many organisations are streamlining software portfolios.
Businesses have spent years layering tools and platforms on top of each other, leaving workers to juggle multiple dashboards and processes.
By embedding automation natively inside existing Workspace apps, Google is positioning its agents as part of the software employees already use.
This approach may appeal to firms seeking to reduce complexity rather than introduce yet another standalone automation product
Tackling Familiar Productivity Limitations
Google’s justification for Workspace Studio stems from a widely recognised office challenge: everyday administrative work consumes a substantial amount of time.
Email organisation, chasing colleagues for updates and compiling summaries still dominate many working days.
Older automation products exist, yet many depend on rules or code and therefore see limited adoption.
Workspace Studio attempts to remove these barriers.
A user describes the task they want to automate, and Google’s Gemini 3 model generates the steps.
A prompt such as “Label any email that contains a question and notify me in Chat” can produce a working solution within moments.
The same method applies to longer processes, including weekly reporting or multi-step approval chains.
The agents can understand context, extract relevant information from emails and attachments, and adapt to changes.
While this doesn’t replicate human judgement, it can offer more flexibility than earlier automation tools and may fit more naturally into real office environments.
But it also raises new questions about how much discretion employees should delegate to software, especially when dealing with sensitive documents or customer communications.
Early Adopters Test Collaborative, Multi-Step Agents
Several organisations have trialled Workspace Studio through Google’s Gemini Alpha programme.
Among them is Kärcher, the German cleaning solutions manufacturer.
Working with Google Cloud partner Zoi, Kärcher developed a set of interconnected agents to help assess new product feature ideas.
The original process involved meetings, fragmented notes and manual consolidation.
With Workspace Studio, separate agents now handle brainstorming, technical feasibility checks, user-flow descriptions and user-story drafting.
According to Kärcher, drafting time has fallen by around 90 percent.
As with many automation claims, the percentage depends on how the task is defined.
Even so, the example demonstrates how companies are beginning to test multi-agent workflows for structured business processes. I
t also reflects a broader shift in enterprise AI, where automation is increasingly treated as a team-level capability rather than something applied to isolated tasks.
This trend could accelerate as organisations look for ways to connect multiple agents into coherent sequences of work.
AI Tools Aimed at Wider Participation
Google says that Workspace Studio agents have completed more than 20 million tasks in the past month.
These tasks range from simple reminders to more sensitive duties, including handling legal notice triage and managing travel requests.
The company is ultimately presenting Workspace Studio as a democratising tool.
Templates support common workflows, and agents can be shared in the same way as any Workspace file.
In practice, this means employees who do not write code can still build processes that match their day-to-day responsibilities.
If widely adopted, this shift could influence internal workflows in large companies.
Rather than rely solely on centralised IT teams, departments may experiment with their own automation, tailoring agents to their specific needs.
But this may also require new oversight mechanisms to prevent the creation of duplicated, conflicting or poorly tested agents across an organisation.
Revealing Google’s Broader Intentions?
Workspace Studio connects with widely used enterprise applications such as Salesforce, Asana, Jira and Mailchimp.
This suggests Google aims for its agents to coordinate work across entire organisations.
More advanced users can extend agents with Apps Script or connect internal systems via Vertex AI.
This combination of no-code tools and optional extensibility is becoming standard across enterprise platforms.
For Google, the integrations may also serve another purpose: strengthening Workspace’s position in organisations that rely heavily on third-party tools.
By acting as the automation layer that links these services together, Workspace Studio could help Google maintain relevance in a crowded productivity market.
Gradual Rollout and Questions Ahead
Workspace Studio will roll out to business customers in the coming weeks.
Once enabled, employees can build agents using templates or natural-language prompts.
Google is also encouraging users to explore community channels and the Gemini alpha programme for early features.
The launch arrives at a time when organisations are scrutinising the real benefits of AI.
Many are assessing whether automation tools truly save time or simply introduce more complexity, meaning Google will need to demonstrate that Workspace Studio delivers measurable gains in productivity.
Nevertheless, the release represents one of the clearest attempts by a major technology company to embed AI automation into everyday productivity applications.
And if successful, it could shift workplace automation from a specialist discipline to an activity carried out by individual employees designing agents to support their own tasks.
