AI models and agent platforms · Enterprise AI assistants
Gemini Enterprise
Google's agent platform for every employee: enterprise search, prebuilt agents and a no-code agent builder.
- Vendor
- Pricing model
- Per seat by edition (Business, Standard, Plus), with consumption billing beyond the included quota.
- Runs on
- Google Cloud
- Agentic OS layer
- Agents
- Industries
- Any industry
- Last reviewed
- November 2026
Our verdict
The natural choice for Google Workspace companies, and the published per-seat editions make a pilot easy to price. Watch the meters behind the seat: model tokens, grounding queries and agent compute all bill separately once you build your own agents.
What it is
Gemini Enterprise is a Google Cloud product, separate from the Gemini features bundled into Workspace plans. It evolved from Google Agentspace and became generally available in October 2025. It gives employees one front door for chat, search across connected company data, prebuilt agents such as deep research, and a no-code builder for their own agents.
Developers can go further with Google's Agent Development Kit and bring custom or third-party agents into the same interface. Google added pay-as-you-go pricing with spending caps in August 2026, so teams can blend seats with consumption.
Best for
Organisations on Google Workspace and Google Cloud that want enterprise search plus agents in one place, and business teams that want to build simple agents without engineers.
Not the right fit
Microsoft 365-centric organisations, where Copilot sits closer to daily work. Also teams that need a single fixed price; agent workloads add consumption charges.
Key capabilities
Enterprise search
Search and answers across Workspace and connected third-party systems, respecting permissions.
Prebuilt agents
Agents for research, idea generation and analysis, available from day one.
No-code agent builder
Business users build multi-step agents and workflows without code.
Agent Development Kit
Engineers build custom agents and bring them into the same governed interface (Standard and above).
Grounding
Answers grounded in Google Search or enterprise data, with a monthly free allowance.
Spend controls
Pay-as-you-go option with project-level caps that pause agent calls when a budget is reached.
Strengths
- Published per-seat editions make pilots easy to price
- Deep fit with Google Workspace and Google Cloud data
- No-code builder lets business teams start without engineering
- Spending caps reduce the risk of runaway agent costs
Watch-outs
- Three separate meters (seats, model tokens, agent infrastructure) are easy to confuse
- Custom agents and higher limits need Standard or Plus
- Fast-moving product: names, features and billing dates change often
- Less natural for organisations whose daily work lives in Microsoft 365
Pricing
Google lists the Business edition from $21 per seat per month for up to 300 seats, self-serve with a trial. Standard and Plus start at $30 per seat per month through Google sales, with Plus reported from about $50. Annual commitments are cheaper than month to month.
Beyond the seat, custom agents bill model tokens, tool calls and grounding: Google Search grounding includes 5,000 queries a month, then $14 per 1,000. Agent infrastructure such as memory and sessions bills on compute hours. A pay-as-you-go option with spend caps is available.
Checked November 2026. Vendors change plans often, so confirm current pricing with Google before you budget.
Security and governance
Google Cloud identity and access controls, data residency options through Google Cloud, permission-aware search, and enterprise compliance controls on Standard and Plus. Customer data is not used to train Google's models.
How we would roll it out
- Connect sources and permissionsIndex Workspace and two or three core systems first, and confirm that search respects existing access.
- Pick the edition per groupBusiness for small teams, Standard or Plus where you need custom agents or compliance controls.
- Set project capsPut spending caps on every project that runs custom agents before any pilot goes live.
- Graduate agents to engineeringWhen a no-code agent becomes business-critical, rebuild it with the Agent Development Kit, tests and owners.
Compare with
Other tools in AI models and agent platforms, closest match first.
ChatGPT Enterprise
Enterprise AI assistants
The most widely adopted general AI assistant, with enterprise admin, residency and compliance controls.
Best for Organisations that want one assistant everyone already knows how to use.
Claude Enterprise
Enterprise AI assistants
Assistant, coding agent and desktop task agent in one seat, with published seat pricing and usage billed separately.
Best for Teams that work with long documents, write a lot, or want coding and desktop agents in the same seat.
Microsoft Copilot Studio
Agent build and run platforms
Low-code agent builder for Microsoft 365, Teams, Dynamics and Power Platform, billed on Copilot Credits.
Best for Microsoft 365 organisations building internal and customer-facing agents.
Amazon Bedrock AgentCore
Agent build and run platforms
Modular AWS services to run, connect, secure and observe production agents, with any framework or model.
Best for Engineering teams running production agents inside AWS.
LangGraph and LangSmith
Agent build and run platforms
Open-source framework for controllable, stateful agents, with LangSmith for tracing, evaluation and deployment.
Best for Engineering teams that want full control of agent logic and to stay cloud-neutral.
Choosing between Gemini Enterprise and the alternatives?
Book a call. We look at your systems, data and governance together and tell you which platform fits, and what to build on it first.