Microsoft Agent 365 vs Amazon Quick vs Google Workspace Studio — which wins?

Each wins in its own ecosystem. (1) Microsoft Agent 365 (GA May 1, 2026) wins for Microsoft 365 / Azure-centric enterprises — agents have first-class Entra identities, Defender / Intune / Purview governance, and tight Microsoft 365 + Foundry integration. (2) Amazon Quick wins for AWS-native enterprises with multi-vendor productivity stacks — best multi-vendor connectors, foundation model choice on Bedrock, AWS-native governance via IAM + CloudTrail. (3) Google Workspace Studio wins for Google Workspace-centric teams — A2A protocol with 150+ orgs, Project Mariner browser actions, full-stack Google integration. Most large enterprises run two or three because their employees use all three productivity stacks.

What does 'agents have their own identity' mean and why does it matter?

Microsoft Agent 365's signature feature: every production agent runs with its own Entra (Azure AD) identity, separate from the human user who provisioned it. This matters because (a) audit trails attribute actions to the agent, not the human, (b) IAM-style policies can scope what agents can do (different from what humans can do), and (c) if an agent is compromised or misbehaves, you can disable it without disabling the human. AWS does the same via IAM context keys in the AWS MCP Server (GA May 6, 2026); Google does similar via Workspace Studio service identities. This is the structural fix for Phantom AI Work — the audit gap that follows agentic AI.

How does the agent-365 governance preview work?

Per Microsoft Security Blog (May 1, 2026), context mapping capabilities, policy-based controls, plus runtime blocking and alerts will be available in Agent 365 through Intune and Defender public preview in June 2026. In practice this means IT admins get: (a) inventory of every agent running in tenant, (b) policy controls on what agents can do (read-only mode, approval gates, allowed apps), (c) runtime alerts when agents do unusual things, (d) integration with existing Defender / Sentinel SIEM. AWS ships equivalent capabilities via CloudTrail + IAM context keys; Google ships via Workspace audit + Mariner controls.

Should I bet on Microsoft, AWS, or Google for agentic AI in May 2026?

Bet on your existing infrastructure and productivity stack, not on raw capability. Five rules. (1) Microsoft 365 + Azure customer → Agent 365 + Foundry. (2) AWS-first customer → Amazon Quick + Bedrock Managed Agents + Agent Toolkit for AWS. (3) Google Workspace + GCP customer → Workspace Studio + Vertex AI agents + A2A. (4) Multi-cloud customer → run agents on each platform's native plane and use MCP / A2A for cross-cloud handoffs. (5) Regulated / sovereign customer → still run cloud-native agent platforms but layer Coder Agents (May 6, 2026) for sensitive code that can't leave VPC. There is no single winner; pick by procurement and existing footprint.

Quick Answer

Agent 365 GA vs Amazon Quick vs Workspace Studio (May 2026)

Published: May 7, 2026

Agent 365 GA vs Amazon Quick vs Workspace Studio (May 2026)

The three biggest cloud productivity vendors all shipped enterprise agent platforms in late April / early May 2026: Microsoft Agent 365 went GA May 1, AWS expanded Amazon Quick across desktops, and Google launched Workspace Studio at Cloud Next 2026. They look similar at first glance and serve different buyers underneath. Here’s the comparison.

Last verified: May 7, 2026

The three at a glance

Capability	Microsoft Agent 365	AWS Amazon Quick	Google Workspace Studio
GA / Released	GA May 1, 2026	Late April 2026 (desktop in May)	Cloud Next 2026 (early May)
Productivity stack	M365 (Outlook, Word, Excel, Teams, SharePoint)	Multi-vendor (M365, Google, Slack, Salesforce, Zoom)	Google Workspace (Gmail, Drive, Docs, Calendar, Meet)
Foundation models	OpenAI (GPT-5.5) via Azure OpenAI	Multi (Claude 4.6/4.7, GPT-5.5, Nova, Llama 5) via Bedrock	Google (Gemini 3 Pro, 3.1 Pro) + select third-party
Identity model	Entra (Azure AD) per-agent	IAM per-agent (via AWS MCP Server)	Workspace service identity per-agent
Audit / governance	Defender / Intune / Purview (preview June 2026)	CloudTrail + CloudWatch + IAM context keys	Workspace audit + Mariner controls
Agent-to-agent	Microsoft / OpenAI	Amazon Bedrock + AWS MCP Server	A2A protocol (150+ orgs)
Pricing	Bundled with M365 E5 / E7 + Copilot	Per-seat + Bedrock token consumption	Workspace Enterprise + Vertex usage
Best for	M365 / Azure shops	AWS-native multi-vendor	Google Workspace shops

What Microsoft Agent 365 brings to GA

Per Microsoft Security Blog (May 1, 2026), Agent 365 GA includes:

Per-agent Entra identity. Every agent runs as a first-class principal in Microsoft Entra (Azure AD). Agents authenticate, get policy-scoped, and audit separately from human users.
Microsoft 365 native integration. Direct, deep integration with Outlook, Word, Excel, Teams, SharePoint, Loop, Power Automate.
Microsoft Foundry for building, deploying, and governing agents.
Defender + Intune + Purview governance in public preview from June 2026, including context mapping, policy-based controls, runtime blocking, and alerts.
Cross-vendor reach via partners. Microsoft is leaning on partners (Salesforce via connectors, ServiceNow via integration) — but native depth is M365.

This is the most opinionated, governance-first agent platform of the three.

What Amazon Quick is in May 2026

AWS’s desktop AI assistant, expanded to broad availability in late April / May 2026:

Multi-vendor connectors to M365, Google Workspace, Slack, Salesforce, Zoom, Jira — first-class, not partner-built.
Foundation model choice. Admins pick Claude 4.6/4.7, GPT-5.5, Nova, Llama 5 per-tenant or per-task via Bedrock.
AWS-native governance via the new AWS MCP Server (GA May 6, 2026), IAM context keys, CloudTrail audit, CloudWatch metrics, and Bedrock Guardrails.
AWS-native deployment. Lives in your AWS account; data stays in AWS-controlled data plane.
Integration with Bedrock Managed Agents for production agent deployment.

Amazon Quick is the best fit for AWS-native enterprises with mixed productivity stacks.

What Google Workspace Studio is

Google’s agent platform unveiled at Cloud Next 2026 (early May):

Workspace Studio for building agents that work in Gmail, Drive, Docs, Calendar, Meet.
A2A protocol (Agent-to-Agent) for cross-agent handoffs, now with 150+ member organizations.
Project Mariner for browser-based agent actions (Google’s answer to ChatGPT Atlas browser actions).
Gemini 3 Pro / Gemini 3.1 Pro as the default foundation models, with Vertex AI for custom models.
Workspace governance via Google’s existing audit / DLP / data residency controls.

Strong for Google-native enterprises and for the cross-vendor A2A protocol bet.

Where each one wins

Microsoft Agent 365 wins for…

Enterprises with 90%+ M365 / Azure / SharePoint dependency.
Use cases needing deep Excel, Word, PowerPoint, Outlook automation.
Customers prioritizing the strongest enterprise governance story (Defender, Intune, Purview).
Single-vendor procurement preference.
Hybrid agentic + traditional Office workflows.

Amazon Quick wins for…

AWS-native enterprises with multi-vendor productivity stacks.
Customers needing foundation model choice (Claude / GPT / Nova / Llama).
Regulated industries with AWS-native governance (CloudTrail, IAM, Bedrock Guardrails).
Companies with large AWS Enterprise Discount Program credits.
Multi-vendor environments (M365 + Google + Slack + Salesforce simultaneously).

Google Workspace Studio wins for…

Google Workspace-centric organizations.
Customers betting on the A2A protocol for cross-agent handoffs (150+ orgs).
Browser-action-heavy workflows (Project Mariner).
Gemini 3 Pro / 3.1 Pro-aligned customers.
Education and SMB segments where Workspace dominates.

Identity is the structural shift

The biggest underappreciated change in 2026 is per-agent identity:

Microsoft: every Agent 365 agent has its own Entra identity.
AWS: AWS MCP Server’s IAM context keys give every agent its own policy surface.
Google: Workspace Studio agents have service identities distinct from users.

This is what fixes Phantom AI Work — the audit gap where an agent’s actions can’t be traced back to a specific agent run, model version, prompt, and tool chain. With per-agent identity, every action is fully attributed.

For regulated industries (finance, healthcare, government) running agents in production, per-agent identity is rapidly moving from “nice to have” to “regulatory requirement.”

Cross-cloud agent strategies

Most enterprises in May 2026 have all three productivity stacks somewhere in their org:

M365 for HQ and corporate functions.
Google Workspace for some product / engineering / marketing teams.
Slack + Salesforce + Zoom across the board.

The smart agent strategy:

Run native agents on each platform — Agent 365 in M365, Workspace agents in Google, Quick / Bedrock in AWS.
Use MCP and A2A for handoffs between platforms.
Standardize audit by piping everything to a central SIEM.
Layer self-hosted Coder Agents for sensitive code that can’t leave VPC.

This is more complex than single-vendor — but matches enterprise reality and avoids vendor lock-in.

Pricing reality

Platform	Pricing
Agent 365	Bundled with M365 E5 / E7 + Copilot tiers ($30+/user/month)
Amazon Quick	Per-seat platform fee + Bedrock token consumption (typical $25-40/user/month)
Workspace Studio	Workspace Enterprise + Vertex AI usage

For most large enterprises, total agent platform spend across all three is non-trivial — but each unlocks productivity gains that exceed cost in their respective stack.

Bottom line

In May 2026, Microsoft Agent 365, AWS Amazon Quick, and Google Workspace Studio are now the three pillars of enterprise agentic AI — and they’re complementary more than competitive. Pick by your existing productivity stack and cloud footprint, not by raw capability. Agent 365 wins for M365 / Azure-centric enterprises with the strongest governance story. Amazon Quick wins for AWS-native multi-vendor enterprises with foundation model choice. Workspace Studio wins for Google Workspace shops and the A2A cross-vendor bet. Most large enterprises will run two or three. The structural shift to watch is per-agent identity — that’s what makes agentic AI safely scale to production, regardless of which platform you bet on.

Sources: Microsoft Security Blog “Microsoft Agent 365 now generally available” (May 1, 2026), AWS Blog “AWS Weekly Roundup May 4, 2026” covering Amazon Quick + OpenAI partnership, Forbes coverage of OpenAI on Bedrock (May 6, 2026), TheNextWeb coverage of Google Cloud Next 2026 Workspace Studio + A2A + Project Mariner (May 2026), Futurum Group analysis (May 2026).