ChatGPT Enterprise vs Claude vs Microsoft Copilot for Australian businesses

What are you actually choosing between?

In the ChatGPT vs Claude vs Copilot decision, you’re choosing between an assistant built into Microsoft 365 and two standalone AI workspaces. Microsoft 365 Copilot (which Microsoft’s licensing and privacy pages now call Microsoft Copilot) lives inside Outlook, Word, Excel, Teams and SharePoint and works over your Microsoft Graph content. ChatGPT Enterprise (from OpenAI) and Claude Team and Enterprise (from Anthropic) are separate apps your staff open to write, analyse, code and research, connected to other systems through connectors and plugins.

“Copilot” on this page means the Microsoft 365 assistant. GitHub Copilot is a separate coding product, and choosing between coding tools such as GitHub Copilot, Claude Code or OpenAI’s Codex is a different decision from choosing a company-wide assistant. Google Workspace organisations would weigh Gemini the same way Microsoft 365 organisations weigh Copilot.

That difference matters more than any benchmark. The best assistant is the one that can reach the content your staff work with, under data terms your organisation can accept.

Everything below reflects the vendors’ own documentation at the time of writing (September 2026). These products change monthly, so check the linked pages before you decide.

How do they compare side by side?

On business tiers, the three are closer on data protection than most people assume, and further apart on residency and integration.

	Microsoft 365 Copilot	ChatGPT Enterprise	Claude (Team and Enterprise)
Where it runs for users	Inside Microsoft 365 apps and Copilot Chat	ChatGPT web, desktop and mobile apps	Claude web, desktop and mobile apps
Grounding in your data	Microsoft Graph: email, files, chats, meetings, plus connectors	Uploaded files, connectors and plugins	Uploaded files, connectors, enterprise search
Training on business content	Microsoft says prompts, responses and Graph data aren’t used to train foundation models	OpenAI states no training on business data by default for Enterprise	Anthropic’s commercial terms say it may not train models on customer content
Identity and admin	Microsoft Entra ID, Purview retention and eDiscovery	SSO, domain verification, SCIM on supported plans, audit logging	SSO on Team; SCIM and audit logs on Enterprise
Australian data at rest	Interaction content covered by Microsoft’s data-at-rest commitments for Australian tenants	Varies by plan and region; confirm with OpenAI for your agreement	No Australian workspace storage option documented for the first-party API
Australian processing	Not committed: Microsoft says non-EU queries may be processed in the US, EU or other regions	Not documented for Australia on the API; confirm for ChatGPT	First-party options are global or US; Australian processing available via Amazon Bedrock
Pricing basis	Per-user add-on licence on a qualifying Microsoft 365 plan	Per seat, with usage credits for some features	Team: per seat (standard or premium); Enterprise: seat plus usage at API rates
Best fit	Microsoft 365 organisations, productivity in existing documents	General-purpose assistant, analysis, coding, broad plugin ecosystem	Long documents, writing, analysis and coding, strong enterprise controls

A note on the Microsoft column: Microsoft’s documentation states that Anthropic models are also available inside some Microsoft 365 Copilot experiences as a subprocessor. So “Copilot or Claude” is not always an either-or question.

Is ChatGPT, Claude or Copilot safe for business data?

All three business offerings say your content isn’t used to train their models by default; the differences are in retention, residency and who can see what.

Points worth checking for each vendor, with what their documentation says at the time of writing:

• Microsoft 365 Copilot data privacy. Prompts, responses and Graph data aren’t used to train foundation models. Copilot only surfaces content a user already has permission to view, and interaction history can be governed with Microsoft Purview retention policies. When web search is on, Copilot sends generated search queries to Bing.
• ChatGPT Enterprise. OpenAI lists no training on business data by default, encryption in transit and at rest, workspace access controls and audit logging. It also says coverage for data residency, inference residency and a HIPAA Business Associate Agreement “isn’t universal” and must be confirmed for the features and regions in use.
• Claude. Anthropic’s commercial terms say it may not train models on customer content. For the API, it offers zero data retention arrangements for eligible customers. Team and Enterprise plans advertise no model training on your content by default.

Two cautions apply to all three. First, connectors and plugins inherit the data rules of the connected system, not just the assistant. Second, the biggest data risk is usually staff pasting work content into personal, consumer accounts. Under the Privacy Act, your organisation remains responsible for personal information your staff disclose, and the OAIC advises against entering personal information into publicly available AI tools. A licensed business tool plus a clear policy is safer than an unofficial free-for-all.

Can ChatGPT Enterprise, Claude or Copilot keep data in Australia?

Microsoft offers the clearest Australian storage commitment; none of the three documents full Australian processing for its standard business assistant at the time of writing. If “in Australia” is a hard requirement, separate it into two questions: where is data stored at rest, and where is the model run?

Requirement	Microsoft 365 Copilot	ChatGPT Enterprise / OpenAI	Claude / Anthropic
Stored at rest in Australia	Yes for interaction content, under Microsoft’s Product Terms for Australian tenants; Advanced Data Residency extends it	OpenAI API: Australian regional storage available to approved customers. ChatGPT: confirm for your plan	First-party workspace storage: US only
Processed in Australia	Not committed	OpenAI API: not available for Australia	First-party: not available; via Amazon Bedrock, several Claude models run within an Australian geography
Route to full onshore processing	Azure OpenAI in Australia East for supported models, in a custom build	Azure OpenAI in Australia East for supported models	Claude on Amazon Bedrock, Australian geography or Melbourne in-Region for supported models

The last row is the key point for regulated organisations. If you need prompts processed onshore, the usual answer isn’t a different chat subscription; it’s a custom application calling a model through an Australian cloud region. Our Bedrock vs Azure OpenAI vs Vertex AI comparison covers which models are available where, and AI data sovereignty in Australia explains the legal side.

How much do ChatGPT Enterprise, Claude and Copilot cost?

The cost of ChatGPT Business or Enterprise, Claude Team or Enterprise and Copilot depends on the pricing model and your agreement, so compare the basis, not the headline number, and get quotes in AUD. Vendor prices change frequently and differ by commitment term, currency and volume, so we deliberately don’t list them here. Current prices are on the pricing pages linked in the sources.

What to compare:

1. Unit of charge. Microsoft 365 Copilot is a per-user add-on licence on top of a qualifying Microsoft 365 plan. ChatGPT Business and Enterprise are priced per seat, with some agentic features drawing on shared credits. Claude Team is per seat with standard and premium seat types; Claude Enterprise combines a seat fee with usage billed at API rates.
2. Minimums and terms. Annual commitments, minimum seat counts and whether you can add seats mid-term.
3. Usage caps. What happens when a heavy user hits limits, and whether overage is billed or throttled.
4. Currency and tax. Whether the quote is in USD or AUD, and GST treatment for Australian businesses.
5. Hidden prerequisites. Copilot requires an eligible Microsoft 365 plan. Advanced Data Residency is a separate add-on that must cover every eligible paid Microsoft 365 seat in the tenant.

You can also buy more than one. Some organisations license Copilot broadly for Microsoft 365 work and a smaller number of ChatGPT Enterprise or Claude seats for teams that need them, such as analysts or developers, with a clear policy on which tool is approved for which data.

A useful exercise: work out cost per active user per month after a pilot, not cost per licence. Many organisations find a third of licensed users rarely touch the tool, which changes the value calculation more than the list price does.

Which should you choose?

Choose by where your work happens and what your data rules require.

Choose Microsoft 365 Copilot if

• Your organisation runs on Microsoft 365 and most AI tasks involve your own email, documents, meetings and chats.
• You want Australian storage of interaction content under your existing Microsoft agreement.
• Your IT team wants to manage AI through the same Entra ID, Purview and admin tools as everything else.

Choose ChatGPT Enterprise if

• You want a broad general-purpose assistant with a large plugin and connector ecosystem.
• Your staff do a lot of analysis, research and content work that isn’t anchored in Microsoft 365.
• You’ve confirmed with OpenAI that its residency and retention terms suit your data.

Choose Claude if

• Your work involves long documents, careful writing, analysis or software development.
• You want per-seat plans for smaller teams, or seat-plus-usage pricing at enterprise scale.
• You’re comfortable with the current residency options, or you’ll use Claude through Amazon Bedrock in an Australian geography for sensitive workloads.

Choose none of them (for this workload) if

• The system must serve customers, act in your line-of-business software with strict rules, or process data onshore end to end. That’s a custom application on a cloud AI platform, and our Copilot vs custom AI assistant guide explains when that’s worth building.

How All Webbed Labs approaches this

We don’t resell any of these subscriptions and have no commercial reason to prefer one. When clients ask, we help them run a structured side-by-side pilot, write an AI usage policy, and map which data can go into which tool under the Privacy Act. Where a workload needs onshore processing or deep integration, we build it on an Australian cloud region with the model that tests best on your tasks. See our LLM integration service or AI consulting, and read our guide to using personal information in AI systems.