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 a done-for-you AI setup 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 climbs at high throughput. A done-for-you AI is priced on brief with no ongoing per-invocation costs. Spec your workflows before committing to either.

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.

Done-for-You AI Setup 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

A done-for-you AI setup ships faster 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 done-for-you AI 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 working AI in a week, not plan a quarter-long rollout
You want model-agnostic 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	Done-for-you AI	Copilot Studio
Launch / maturity	Done-for-you AI setup. Ships in days, no IT cycle.	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	Done-for-you. You describe the task; we configure the AI and connectors.	Low-code canvas (Power Virtual Agents lineage). More powerful for complex flows; steeper learning curve.
Plan requirement	No specific plan lock-in. Model chosen under the task (ChatGPT, Claude, GigaChat, YandexGPT, others).	Microsoft 365 Copilot license + Copilot Studio add-on (per-user Copilot license plus per-message Copilot Studio billing).
Pricing model (post-preview)	Priced on brief. No per-invocation billing on your end.	Per-user license + per-agent-message pricing (billed in message packs).
Governance tooling	Admin controls scoped to your workflow: connectors, sharing, audit log.	Deep Purview, Entra, and DLP integration. Enterprise-grade.
Time to first AI	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 that's hard to match out of the box. 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, a done-for-you AI integrates 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). A done-for-you AI setup is simpler: describe the workflow, upload samples, iterate on the prompt. For an ops person shipping their first 1–3 automations, the done-for-you path wins on time-to-first-result. 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 new to AI tooling in your org, a done-for-you setup scoped to a single workflow is a much lighter procurement ask. This isn't about which approach is more secure. 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, a done-for-you AI for best-of-breed SaaS workflows. This is fine. Don't force a single-vendor decision, optimize per workflow.

Questions

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