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The best alternative depends on which Google product you mean and where your work already happens. For automations that stay inside Google Workspace, start by evaluating Google Workspace Studio. For Microsoft 365, CRM, or IT-service workflows, compare the tools native to those ecosystems. For custom agents that need developer control, compare the underlying agent platforms rather than employee-facing apps.

First, separate Google’s three agent products

“Gemini agents” can refer to different layers of Google’s offering. They are related, but they solve different problems:

  • Gemini Enterprise Agent Platform is Google’s developer and operations platform for building, deploying, governing, and optimizing agents. Google describes it as the evolution of Vertex AI. It offers a low-code Agent Studio route and a code-based Agent Development Kit route.
  • The Gemini Enterprise app is the employee-facing environment to discover, create, share, and run agents. Google describes it as a workplace entry point, not as the same thing as the developer platform beneath it.
  • Google Workspace Studio is focused on workflows and AI agents within Workspace. If the job is mainly about Gmail, Drive, Sheets, or other Workspace activity, this may be a closer starting point than a general agent-development platform.

Choosing the right layer matters: comparing a user-facing app with a developer platform can make alternatives look more alike than they are.

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Shortlist alternatives by the work you need to automate

Google Workspace tasks: evaluate Workspace Studio first

Workspace Studio is a fit to assess when the workflow primarily uses Google Workspace—for example, saving Gmail attachments to Drive and recording them in Sheets. Google says Studio is generally available with Business and Enterprise Workspace plans and supports designing, managing, and sharing workflows and agents. Its documentation also says it respects users’ existing access permissions and Workspace data-loss-prevention controls. Google said broader DLP integration for third-party services was not part of its immediate plans, so check how connected apps are governed before relying on them for sensitive workflows. Confirm current plan and tenant eligibility before deployment.

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If employees instead need a shared place to find and run agents across systems, assess the Gemini Enterprise app. Google says it supports no-code agent creation and a centralized Inbox for managing agents, and describes partner agents from companies including Adobe, Salesforce, ServiceNow, and Workday. Those are vendor-described capabilities and positioning, not evidence of comparative performance.

Microsoft 365 work: start with Microsoft 365 Copilot agents

For organizations centered on Microsoft 365, Microsoft’s documented options include Microsoft 365 Copilot agents such as App Builder, Workflows, and Researcher for automation and information synthesis over Microsoft 365 data. If those packaged capabilities do not meet the need, Microsoft presents Copilot Studio as a low-code SaaS platform and Microsoft Foundry as a managed platform path. The choice depends on functional requirements, customization, technical capacity, timeline, and how much control the team needs; Microsoft’s guidance does not make one path the universal choice.

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CRM processes: consider Salesforce Agentforce

Salesforce Agentforce is a natural candidate when CRM records, Salesforce processes, and organizational data are central to the work. Salesforce Help describes Agentforce Studio as a place to build, test, and monitor agents, and documents grounding agents in internal data and other knowledge sources. That supports evaluating it for CRM-centered workflows; it does not establish it as a general replacement for every workplace automation platform.

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IT and service management: consider ServiceNow’s platform

ServiceNow’s AI Platform and agents are relevant to IT operations and service-management workflows. In an announcement published in 2026, ServiceNow described agent collaboration using A2A and MCP, plus a shared governed registry with Google Cloud. Treat the availability labels in that announcement as distinct: the ServiceNow AI Control Tower and Gemini Enterprise Agent Platform integration was described as live; certain autonomous-operations solutions were in preview, with full availability targeted later in 2026; and a retail predictive-maintenance solution was piloting. Confirm the status of the specific feature, region, and tenant before selecting it.

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Custom agents: compare developer platforms, not just apps

If the requirement involves custom tools, code-based orchestration, or operational control, compare agent-development platforms. Google’s Agent Platform provides a low-code Agent Studio and a code-based Agent Development Kit; Microsoft documents Foundry as a managed platform path. The appropriate choice depends on the team’s technical capability and required control, as well as how each platform fits the organization’s data and applications. Google’s documentation, accessed October 9, 2026, says Agent Platform supports access to more than 200 foundation models; that is Google’s model-availability claim, not a measure of quality or a performance comparison.

Compare the options against the actual workflow

Decision area Questions to answer
Existing ecosystem Where do employees, identity, business records, documents, and workflow systems already live? A native fit may reduce integration work, but verify connector coverage and access boundaries for the exact workflow.
Product layer Do employees need an agent app, automation within Workspace or Microsoft 365, a low-code builder, a developer platform, or a workflow-native operations system?
Build effort Can a business user configure the workflow in a visual builder, or does the use case require developers to create tools and code the orchestration?
Workflow depth Is the task a simple trigger-and-action flow, a multi-step task requiring reasoning, or a long-running process involving handoffs and approvals? Verify the exact product and plan rather than assuming every agent offering handles all three.
Governance How are agent identity, least-privilege data access, policy enforcement, observability, audit records, and third-party connectors handled?
Availability Is the specific capability generally available, in preview, piloting, or only planned? Confirm geography, plan, and tenant eligibility with the vendor.

Run a focused selection process

  1. Write down one real workflow. Identify its trigger, systems and data it touches, required actions, approval points, and what counts as a successful result.
  2. Pick the product layer. Use a Workspace- or Microsoft 365-focused option for work contained in that suite; assess a CRM or service-management platform for workflows centered on those records and processes; evaluate a developer platform when the workflow requires custom orchestration or tools.
  3. Check access and governance before building. Confirm which user or agent identity acts, what data it can read or change, how policies and audit records work, and whether connected services fall under the same controls.
  4. Verify capability and availability in the intended environment. Check the exact plan, region, connectors, and release status for the features the workflow depends on. Do not treat a preview, pilot, or future target as generally available.
  5. Test the workflow with representative cases. Check whether it completes the intended task, handles exceptions and approvals, and leaves an auditable record. Compare the results against the current process rather than relying on vendor positioning.
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What the available evidence can—and cannot—tell you

Google, Microsoft, Salesforce, and ServiceNow describe features and intended use cases for their own products, but the reviewed product materials do not provide a neutral, comparable benchmark of agent accuracy, productivity gains, total cost, or adoption across these options. There is therefore no evidence-based universal winner or defensible performance ranking here. A decision should turn on the required workflow, ecosystem fit, governance, development effort, and verified availability.

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