Can I use Copilot Studio with ChatGPT models instead of Azure OpenAI?

Not directly. Copilot Studio uses Microsoft's Azure OpenAI deployments. If you want OpenAI's latest model in a Microsoft-y environment, Copilot Studio is a fit, but you don't get choice-of-model the way you would calling the OpenAI API directly.

Does OpenAI Workspace Agents work with SharePoint?

Yes, via the Microsoft 365 connector. It's less deep than Copilot's integration — you can read documents and search, but you won't get Purview-level DLP enforcement or Entra-aware file permissions. Enough for most mid-market use cases.

Which is cheaper for a 50-person team?

Depends on volume. Copilot Studio's per-message pricing is predictable at moderate use but expensive at high throughput. Workspace Agents' credit pricing rewards efficient agent design and penalizes chatty ones. Spec your agents before committing.

Can I move agents from one to the other?

Not automatically. Prompts and connector logic translate conceptually but not mechanically. Migration cost is typically 30–50% of the original build time.

OpenAI Workspace Agents vs Microsoft Copilot Studio

This is the comparison that comes up on every intro call. Buyers assume they need to choose one platform for all agent work; they usually don't. This page walks through the actual differences, when each wins, and what the migration story looks like if you pick one and change your mind.

Verdict

OpenAI Workspace Agents ship faster and cost less for single-workflow automations with best-of-breed SaaS data sources. Microsoft Copilot Studio wins when you're deeply invested in the Microsoft stack, need tight SharePoint/Teams integration, or have enterprise IT requirements that favor Microsoft's governance tooling.

Pick Workspace Agents when

Primary stack is Google Workspace, not Microsoft 365
Critical data lives in HubSpot, Salesforce, Notion, Slack — not SharePoint
You want to build and ship a single agent in a week, not plan a quarter-long rollout
You want standard OpenAI-quality model outputs without managing Azure OpenAI provisioning
You're small enough that procurement preferences don't dominate the decision

Pick Copilot Studio when

Microsoft 365 E3/E5 is already deployed enterprise-wide
Most of your operational data lives in SharePoint, OneDrive, Teams
Your governance team already has Purview and Entra ID running
You need on-prem or private-cloud deployment options
Your procurement process strongly favors incumbent enterprise vendors

Side-by-side

Dimension	OpenAI Workspace Agents	Copilot Studio
Launch / maturity	Research Preview (April 2026). Evolution of Custom GPTs.	GA. Multiple years of production use.
Primary data integrations	Google Workspace, Microsoft 365, Slack, HubSpot, Salesforce, GitHub, Linear, Notion, BigQuery.	Deep Microsoft 365 (SharePoint, OneDrive, Teams, Outlook), Dynamics 365, Power Platform ecosystem.
Authoring model	Prompt + file upload. ChatGPT auto-structures steps and connectors. No-code.	Low-code canvas (Power Virtual Agents lineage). More powerful for complex flows; steeper learning curve.
Plan requirement	ChatGPT Business, Enterprise, Edu, or Teachers.	Microsoft 365 Copilot license + Copilot Studio add-on (roughly $30/user/month Copilot + per-message Copilot Studio billing).
Pricing model (post-preview)	Credit-based, workspace-wide. Per-invocation consumption.	Per-user license + per-agent-message pricing (billed in chunks of 25k messages).
Governance tooling	Admin controls within ChatGPT workspace: connectors, sharing, audit log.	Deep Purview, Entra, and DLP integration. Enterprise-grade.
Time to first agent	3–5 days for a single workflow.	2–6 weeks typical, mostly driven by governance and IT cycles, not tool difficulty.

The integration story is the decision

If you run your company on Microsoft 365, Copilot has a depth of integration OpenAI can't match. Copilot knows your org chart from Entra, your file permissions from SharePoint, and your conversation history from Teams. Conversely, if your team works in Google Docs and Slack with HubSpot as the CRM, Workspace Agents integrate natively where Copilot would need custom connectors or Power Automate flows. Don't pick the tool first; inventory your data first, then pick.

Authoring experience compared

Copilot Studio is a more powerful builder — flows, variables, complex branching, explicit tool orchestration. Workspace Agents are a simpler one: describe the workflow, upload samples, iterate on the prompt. For an ops person building their first 1–3 agents, Workspace Agents win on time-to-first-ship. For a team running 30+ agents with deep conditional logic, Copilot Studio's explicit builder scales better.

Governance and compliance

If you've already passed Microsoft's security review and have Purview running, adding Copilot agents is incremental. If you're adding ChatGPT Business/Enterprise to an org that doesn't have it, the security review adds 2–8 weeks depending on your procurement team. This isn't about which tool is more secure — they're both enterprise-grade — it's about which review you've already done.

The hybrid reality

Mid-market teams often end up running both. Copilot for email + SharePoint + Teams-native workflows; OpenAI Workspace Agents for best-of-breed SaaS workflows. This is fine. Don't force a single-vendor decision on agents — optimize per workflow.

Questions

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