Gemini Enterprise Agents

Video Review

About

Google Cloud shipped Gemini Enterprise Agents on April 22, 2026. It is the most direct response yet to Microsoft Copilot Studio — a full agent-builder platform with prebuilt connectors, per-task pricing, and observability that is genuinely best-in-class.If you run an enterprise on Google Workspace and you have been waiting to build internal copilots without paying Microsoft per seat, this is the platform you evaluate this week.What You Are Actually GettingThe platform has three layers. At the bottom is Vertex AI — the same infrastructure that hosts Gemini 3.1 Pro and Flash, plus all the Google Cloud security primitives (VPC-SC, IAM, CMEK, audit logs).In the middle is the agent runtime: the loop that calls tools, manages memory, and emits observability traces. Each agent step is a single tool call or reasoning turn, billed at $0.002. A 50-step task costs $0.10 in agent fees plus whatever Gemini tokens you spent. The first 10,000 steps per month are free.At the top is the builder layer — both a drag-and-drop UI for non-technical users and a Python/TypeScript SDK for engineers. Both produce the same agent definition, so a non-technical user can prototype and a developer can take over without a rewrite.The Connector Library Is the Killer Feature40+ first-party connectors at launch: Salesforce, Workday, ServiceNow, SAP, Slack, Microsoft 365, Google Workspace, Jira, Notion, GitHub, GitLab, Snowflake, BigQuery, Looker, and more. Each connector is a structured tool the agent can call directly — no glue code, no MCP server to maintain, no OAuth flow to wire up.That is where Copilot Studio is genuinely weaker. Microsoft has deep integration with the Microsoft stack but thinner coverage for everything else. Google's bet is that real enterprises run hybrid stacks (Salesforce + Workday + Slack + Microsoft 365 + Google Workspace) and the platform with the most native connectors wins.The Per-Task Pricing$0.002 per agent step is the most interesting pricing experiment in the enterprise agent space this year. Microsoft sells Copilot Studio at $200 per user per month. Google charges per outcome.For deterministic workflows (a daily Slack-to-Salesforce sync, a weekly expense-report agent), per-step pricing is dramatically cheaper than per-seat. For exploratory work with lots of failed retries, per-step can sting — agents that retry tool calls 5 times before succeeding rack up costs faster than your finance team will like.The 10,000 free steps per month make evaluation friction-free. That is the right move; expect Microsoft to copy it within a quarter.Where It Falls ShortThree honest caveats. First, Gemini 3.1 Pro lags GPT-5.5 on Terminal-Bench 2.0 by about 10 points, so deeply agentic coding loops still want OpenAI's model. You can swap in external models via the SDK, but the platform is built around Gemini.Second, the drag-and-drop UI is shallower than Copilot Studio's. Serious agent work happens in the Python or TypeScript SDK. If your buying committee was promised 'no-code for everyone,' set expectations.Third, documentation is fragmented across Vertex AI, Agent Builder, and Gemini Enterprise — three product lines, three doc sites, lots of overlap. Plan for a week of discovery before your team is productive.Who Should Use ItUse Gemini Enterprise Agents if you are Google Cloud-native, you run a multi-vendor enterprise stack (not just Microsoft), and you want per-outcome pricing instead of per-seat. The connector library and observability tooling are the strongest in the market.Skip it if your stack is Microsoft 365-only (Copilot Studio still wins), Salesforce-only (Agentforce wins), or AWS-native (Bedrock Agents wins). Skip it for deep agentic coding work where GPT-5.5 holds a real Terminal-Bench lead.VerdictGemini Enterprise Agents is the strongest enterprise agent platform Google has ever shipped, and the per-step pricing is the right structural bet for the next two years. For Workspace-centric enterprises, it is the new default to evaluate. For everyone else, it is at minimum a credible second platform to reduce Microsoft lock-in.Related ResourcesArticle: GPT-5.5 just launched — the model that beats Gemini 3.1 Pro on Terminal-Bench by 10 points.Repo: Microsoft Magentic-One — the open-source multi-agent framework you can self-host as an alternative.MCP server: Anthropic Claude Code MCP — pair with Gemini Enterprise Agents to add Claude Code tools to your agent stack.Skill: Anthropic Data Analysis Skills — structured data skills any agent platform can consume.

Key Features

• Prebuilt enterprise connectors for Salesforce, Workday, ServiceNow, SAP, Slack, Microsoft 365, and Google Workspace
• Per-task pricing at $0.002 per agent step plus Gemini token costs — predictable cost-per-outcome model
• Free tier of 10,000 agent steps per month for evaluation and small workloads
• Built-in agent observability with step-by-step trace, token spend per task, and tool-call timing
• Gemini 3.1 Pro and Gemini 3.1 Flash both available as the agent's reasoning backbone
• Drag-and-drop agent builder plus a code-first SDK in Python and TypeScript for the same agent definitions
• Native A2A (Agent-to-Agent) protocol support for multi-agent coordination across Google and partner agents
• VPC-SC, IAM, and CMEK support — meets the same controls as the rest of Google Cloud

Use Cases

• 1Enterprise teams building internal copilots for sales, finance, or HR with native Salesforce/Workday/SAP integration
• 2Companies replacing Microsoft Copilot Studio workflows with a Google-native equivalent on Workspace data
• 3Multi-agent stacks that need A2A protocol support to coordinate Gemini agents with Anthropic or OpenAI agents
• 4Compliance-bound deployments needing VPC-SC, CMEK, and full audit logs at the agent-step level
• 5Teams that want per-task pricing instead of per-seat or per-token billing for predictable cost forecasting