Workspace Agents vs Gemini Enterprise vs Agent 365 (May 2026)
Workspace Agents vs Gemini Enterprise vs Agent 365 (May 2026)
Three enterprise agent platforms shipped in the same 10-day window in late April / early May 2026. They are not the same product. This is the head-to-head buyers actually need.
Last verified: May 12, 2026
TL;DR
- OpenAI Workspace Agents — fastest to build with, Codex under the hood, natural-language setup, scheduled and Slack-deployable, OpenAI-only models, research preview.
- Gemini Enterprise Agent Platform — strongest governance day-one, four-component control plane, supports Claude inside Google, deepest Workspace integration.
- Microsoft Agent 365 — strongest fleet-level governance, Shadow AI detection on endpoints, deepest Microsoft 365 integration, control plane rather than runtime.
Side-by-side
| Property | OpenAI Workspace Agents | Gemini Enterprise Agent Platform | Microsoft Agent 365 |
|---|---|---|---|
| Announced / GA | Research preview, April 22, 2026 | GA April 22, 2026 (Cloud Next ‘26) | GA May 1, 2026 |
| Type | Agent runtime + builder | Agent runtime + builder + governance | Governance control plane |
| Default model | GPT-5.5 family (Codex) | Gemini 3.1 Pro | GPT-5.5 Thinking (M365 Copilot) |
| Third-party models | ❌ | ✅ Claude Opus / Sonnet / Haiku | ✅ via Foundry + partners |
| Build flow | Natural-language → auto-built workflow | Agent Development Kit (graph-based) | Copilot Studio + partner tools |
| Native stack | ChatGPT, Slack | Google Workspace | Microsoft 365 + Teams |
| Cross-stack templates | Google Drive, MS apps, Salesforce | Jira, Salesforce, ServiceNow, Box, Oracle, Workday | Broad SaaS coverage |
| Memory | Yes; improves through corrections | Yes | Inherited from underlying agent |
| Long-running agents | ✅ Scheduled, runs offline | ✅ Days-long | Via underlying platforms |
| Sandboxed code execution | Codex sandbox | ✅ Agent Sandbox | Via Foundry / Copilot Studio |
| Per-agent identity | Per-workspace | ✅ Agent Identity (crypto IDs) | ✅ Entra-backed |
| Approval gates | ✅ for sensitive actions | ✅ Registry approval | ✅ Admin approval flow |
| Endpoint Shadow-AI detection | ❌ | ❌ | ✅ via Defender + Intune (preview) |
| A2A protocol | Roadmap | ✅ | Via partners |
| Pricing | Credit-based since May 6, 2026 (was free) | Vertex AI per-token + runtime | M365 Copilot license + Agent 365 add-on |
| Where it runs | OpenAI cloud (US) | Google Cloud (regions incl. EU) | Microsoft 365 tenant |
Build experience
OpenAI Workspace Agents. The most opinionated “low-friction” experience of the three. You describe what you want in ChatGPT — “every Monday, summarize last week’s pull requests across these 3 repos and post to #eng-summary” — and the system synthesizes the agent, defines steps, connects tools, and adds skills. Codex executes. Memory accumulates with use. Good for fast experimentation and for non-developer ownership.
Gemini Enterprise Agent Platform. Agent Development Kit (ADK) with a graph-based framework. You design agents and sub-agents as nodes in a graph; the runtime handles dispatch, retries, and state. More developer-leaning, more powerful for complex multi-agent workflows, more setup cost. The Registry forces a governance step before any agent is callable.
Microsoft Agent 365. Less of a builder; mostly a governor. Agents are built in Microsoft Copilot Studio, Microsoft Foundry, or third-party platforms, then registered into Agent 365 for fleet-level observability, approval, and security policy.
Governance head-to-head
The governance story is where these three diverge most.
Gemini Enterprise Agent Platform. Four components, all on day one: Agent Registry (catalog with approval flow), Agent Gateway (per-call policy enforcement with Model Armor), Agent Identity (per-agent crypto IDs), Agent Sandbox (hardened code execution).
Microsoft Agent 365. Centralized Agent 365 dashboard for the agent fleet — total registered agents, active users, growth trends, connected platforms. Admin approval flow for requested agents. Microsoft Entra network controls extended to Copilot Studio and local agents. Shadow AI detection and blocking on Windows endpoints via Defender and Intune (preview) — unique to Agent 365 among the three.
OpenAI Workspace Agents. Permission controls (agents request approval for sensitive actions). Compliance API for administrative visibility. Less mature than the other two at this stage; tracks with research-preview status.
Models
OpenAI Workspace Agents. OpenAI-only — GPT-5.5 family powered by Codex. No third-party model support. This is a deliberate vertical-integration play.
Gemini Enterprise Agent Platform. Gemini 3.1 Pro by default, plus Gemini 3.1 Flash Image (Nano Banana 2), Lyria 3, and the full Claude family (Opus 4.7, Sonnet 4.6, Haiku 4) contracted through Google Cloud. Genuine multi-model.
Microsoft Agent 365. Microsoft 365 Copilot itself uses GPT-5.5 Thinking. Agents under Agent 365’s governance can run on whichever model their underlying platform supports — broad in theory through Foundry and partners.
Integrations
OpenAI Workspace Agents. ChatGPT and Slack at launch, with templates for Google Drive, Microsoft apps, and Salesforce. Strong cross-stack reach but not the deepest in any one stack.
Gemini Enterprise Agent Platform. Deepest Google Workspace integration (Gmail, Calendar, Drive, Docs, Sheets) plus Marketplace + Agentspace for Jira, Salesforce, ServiceNow, Atlassian, Box, Oracle, Workday. Gemini Enterprise App as the user-facing hub.
Microsoft Agent 365. Deepest Microsoft 365 integration (Word, Excel, PowerPoint, Teams, SharePoint, OneDrive, Outlook). Reaches user endpoints via Defender and Intune. Best path if your tenant boundary is the M365 tenant.
Pricing
- OpenAI Workspace Agents. Free until May 6, 2026, credit-based after. Pricing is published per credit pack inside ChatGPT Enterprise admin.
- Gemini Enterprise Agent Platform. Vertex AI per-token model pricing plus runtime/storage. Long-running agents need committed-use planning.
- Microsoft Agent 365. Microsoft 365 Copilot license (per-user) plus Agent 365 governance fees. Discounts at scale.
All three are non-trivially priced at enterprise volume. Long-running agents are the cost wildcard.
Where each one wins
- Build fast with low friction → OpenAI Workspace Agents. Natural-language setup is genuinely useful.
- Heterogeneous model strategy → Gemini Enterprise Agent Platform. First-party Claude inside Google is unique.
- Already on Google Workspace → Gemini Enterprise Agent Platform. No contest.
- Already on Microsoft 365 → Microsoft Agent 365. No contest.
- Govern a fleet of agents built across many platforms → Microsoft Agent 365. Shadow AI detection on endpoints is unique.
- Strongest day-one governance + multi-model → Gemini Enterprise Agent Platform. Four governance components vs. the others’ partial coverage.
Sources
- Reworked, “OpenAI launches Workspace Agents for enterprise workflow automation”
- Pulse2, “OpenAI Workspace Agents introduced in ChatGPT to enable team-based autonomous workflows”
- ITPro, “Four things you need to know about OpenAI’s new Workspace Agents”
- Google Cloud Blog, “Introducing Gemini Enterprise Agent Platform”
- blog.google, “Gemini Enterprise Agent Platform” announcement
- Microsoft Security Blog, “Microsoft Agent 365 now generally available — expands capabilities and integrations” (May 1, 2026)
- Microsoft Tech Community, “What’s new in Agent 365 — May 2026”
- Microsoft 365 Blog, “Copilot’s agentic capabilities in Word, Excel and PowerPoint are GA”
Related reading
- What is Gemini Enterprise Agent Platform
- Microsoft Agent 365 GA vs Amazon Quick vs Google Workspace Studio
- OpenAI Workspace Agents vs Custom GPTs
- Workspace Agents vs Claude Skills vs Gemini Gems
- Agent Registry vs Agent Gateway vs Agent Identity
Last verified: May 12, 2026.