Every business we talk to is asking the same question: which AI tool should we actually be using? The honest answer is that it depends on what you are trying to do, how your business is set up, and what you are willing to pay. We use all three daily across our own operations and our clients’ environments. Here is what we have learned.
If you want the backstory on why we chose Claude as our primary platform despite being a Microsoft Partner, read that decision in detail here. If you are already using Copilot and wondering whether it is enough, we wrote about that gap too. This post is the full three-way comparison.
If your business runs on Microsoft 365, start with Copilot. It lives inside the tools your staff already use and can read your emails, documents, and Teams conversations. If you need AI for serious analytical work, long documents, compliance, or coding, Claude is the stronger tool. If you want the most flexible general-purpose AI for a wide range of tasks, ChatGPT is the safe default. Most businesses with 20 or more staff will end up using at least two of these.
| Microsoft Copilot | Claude | ChatGPT | |
|---|---|---|---|
| Built by | Microsoft | Anthropic | OpenAI |
| Best for | M365 workflow automation | Deep work, compliance, long documents | Versatile general-purpose tasks |
| Requires M365 | Yes — Business Standard or E3+ | No | No |
| Context window | Varies by app | 200,000 tokens (~500 pages) | 128,000 tokens (~300 pages) |
| Business pricing | $30 USD/user/month (add-on) | $25 USD/seat/month (Team) | $25 USD/seat/month (Team) |
| Trains on your data? | No (stays in your M365 tenant) | No (on all paid plans) | No (Team and Enterprise only) |
| Image generation | Yes (via Designer) | No | Yes (DALL-E) |
| Email/calendar integration | Yes — native | No | No |
| Coding | Basic | Excellent (Claude Code) | Very good |
| Epic IT verdict | Best for M365 workflow | Best for deep work | Best for breadth |
Microsoft Copilot is not a standalone AI. It is an add-on that embeds into your existing Microsoft 365 environment. When you open Outlook, Copilot can summarise a 40-message email thread in two sentences. In Teams, it can generate meeting notes from a recorded call. In Excel, it can write formulas from plain-English descriptions. Its power is integration, not raw intelligence. It reads your SharePoint files, your calendar, your inbox, and your Teams channels — and uses that context to generate useful output without you copying and pasting anything.
Claude (built by Anthropic) is the tool we chose for our own internal operations and for our managed AI clients. It excels at long-form reasoning, document analysis, compliance work, and code generation. Its context window handles up to 200,000 tokens as standard (roughly 500 pages of text), which means you can feed it an entire policy document, contract, or codebase and get a coherent response back. Claude’s writing is more precise and less generic than the alternatives, and its approach to data privacy is the most conservative of the three — Anthropic does not train on your business data by default.
ChatGPT (built by OpenAI) is the most widely used AI tool in the world. It is versatile, fast, and has the broadest plugin ecosystem. It handles creative writing, brainstorming, research, coding, image generation, and data analysis well. Its weakness relative to Copilot is that it does not live inside your Microsoft environment, so you are always copying and pasting. Its weakness relative to Claude is that its outputs for complex analytical tasks tend to be less precise and more prone to confident-sounding errors.
We tested all three tools across the tasks our Perth clients actually use AI for. Not benchmarks. Not chatbot arena scores. The tasks that business owners, office managers, and operations staff do every day.
Email and meeting summarisation. Copilot wins decisively. It reads your inbox and meeting recordings natively. No copying required. Claude and ChatGPT can both summarise emails, but you have to paste the content in manually, which breaks the workflow for most staff.
Document drafting and editing. Claude produces the cleanest, most precise written output. We use it for proposals, compliance documents, client reports, and blog content. ChatGPT is a close second for shorter content and brainstorming. Copilot’s drafting is adequate for internal communications but tends toward generic corporate language.
Data analysis and spreadsheets. Copilot’s Excel integration is genuinely useful for formula writing and basic data manipulation. For serious analysis — cleaning messy data, building models, generating charts from complex datasets — ChatGPT with its code interpreter and Claude with its analysis tool both outperform Copilot. Claude handles larger datasets more reliably due to its bigger context window.
Compliance and policy work. Claude is the clear leader. We use it to review Essential Eight assessments, draft AI governance policies, and analyse regulatory documents. Its ability to process long documents without losing context is a real advantage over ChatGPT, which tends to drift on documents longer than 30 pages. Copilot does not compete here.
Coding and technical work. Claude is the preferred tool for our engineering team. Claude Code, its terminal-based coding assistant, handles multi-file debugging, refactoring, and documentation better than ChatGPT or Copilot’s coding features. ChatGPT is a strong second, particularly for one-off scripts and explanations. GitHub Copilot (a separate product from Microsoft 365 Copilot) is useful for inline code completion but less capable for complex problem-solving.
Creative work and brainstorming. ChatGPT has the edge here. It generates ideas faster, handles more creative formats (image generation, voice, video summaries), and has a broader plugin ecosystem for niche tasks. Claude is good at structured creative work (blog outlines, messaging frameworks) but less spontaneous. Copilot is not built for creative tasks.
| Plan | Microsoft 365 Copilot | Claude | ChatGPT |
|---|---|---|---|
| Individual | $30 USD/user/month (requires M365 licence) | $20 USD/month (Pro) | $20 USD/month (Plus) |
| Team / Business | $30 USD/user/month add-on | $25 USD/seat/month (Team) | $25 USD/seat/month (Team) |
| Enterprise | $30 USD/user/month add-on | Custom pricing | Custom pricing |
| True cost for 30 users | ~$900/month + M365 base | ~$750/month | ~$750/month |
The pricing looks similar on paper, but the real cost of Copilot is higher because it requires an existing Microsoft 365 Business Standard or E3 licence underneath it. For a 30-person business on Business Standard, you are paying $14/user for the base licence plus $30/user for Copilot — $44/user total. Claude or ChatGPT Team at $25/user is standalone. That said, most businesses already have M365, so the question is whether the additional $30/user delivers enough value to justify the spend.
With Microsoft 365 pricing increasing from July 2026, this calculation is worth running sooner rather than later.
This is where the decision gets serious for businesses handling sensitive data.
Copilot inherits your Microsoft 365 security settings. If you have Conditional Access, sensitivity labels, and data loss prevention policies configured properly, Copilot operates within those boundaries. Your data stays in your Microsoft tenant. This is a strong default for businesses already invested in the Microsoft security stack.
Claude does not train on your data on any paid plan. Anthropic’s privacy position is the most conservative of the three. For businesses in legal, healthcare, or finance where data handling is paramount, this matters. The Enterprise plan adds HIPAA readiness and audit logs.
ChatGPT Enterprise and Team plans do not use your data for training. The consumer versions (Free and Plus) may use your conversations to improve models unless you opt out. For business use, always use the Team or Enterprise tier, never individual accounts.
The governance challenge is not which tool is safest in theory. It is that your staff are probably already using one or more of these tools on personal accounts, outside your visibility and control. Shadow AI is a real risk. Having a formal policy and a managed deployment is more important than which specific tool you choose.
We are a Microsoft Solutions Partner. We sell and manage Microsoft 365 for our clients. We also chose Claude as our primary AI platform — not Copilot. That decision was not political. It was practical.
Copilot is the right tool for workflow automation inside Microsoft 365. If your team spends hours in Outlook, Teams, and Excel, Copilot will save them time. We recommend it to clients where email and meeting summarisation alone justifies the spend.
Claude is the right tool for deep work. Document analysis, compliance reviews, strategy documents, coding, and anything that requires careful reasoning over long inputs. We deploy it for our AI services clients and use it internally for everything from cybersecurity assessments to client reporting.
ChatGPT is the right tool for breadth. If your team needs a single versatile AI assistant for a wide range of tasks and you are not deeply embedded in the Microsoft ecosystem, ChatGPT Team is a solid choice.
For most Perth businesses with 20 to 100 staff running on Microsoft 365, the combination that delivers the most value is: Copilot for workflow tasks + Claude for deep work. ChatGPT fills the gaps for creative tasks and image generation if needed.
Whatever you choose, deploy it properly. Set up an AI governance policy, run an AI readiness assessment, and manage the rollout through your IT provider — not through individual staff signing up on personal credit cards.
It depends on your primary use case. Copilot is best for businesses that live in Microsoft 365 and want AI embedded in Outlook, Teams, and Excel. Claude is best for businesses that need deep document analysis, compliance work, or coding. ChatGPT is best as a versatile general-purpose tool. Many businesses benefit from using two of the three.
For staff who spend significant time in Outlook and Teams, yes. Email summarisation and meeting notes alone can save 30 to 60 minutes per user per week. For staff who primarily do creative or analytical work outside Microsoft 365, the value is lower. Not every user in your organisation needs Copilot — consider deploying it selectively to roles where the time savings are highest.
All three offer strong data protection on their business and enterprise tiers. Copilot inherits your existing Microsoft 365 security settings. Claude has the most conservative privacy stance — Anthropic does not train on your data on any paid plan. ChatGPT Team and Enterprise do not use your data for training. The biggest risk is not the tool itself but unmanaged usage — staff using personal AI accounts to process business data. A formal AI governance policy matters more than the specific tool you choose.
Yes. Many businesses use Copilot for in-app Microsoft 365 tasks (email, meetings, Excel) and ChatGPT or Claude for standalone work (research, content creation, coding, data analysis). The tools serve different purposes and complement each other well. The key is to manage both under a single AI governance policy so your data handling is consistent.
We use both. Copilot is deployed across our Microsoft 365 environment for workflow tasks. We chose Claude as our primary AI platform for deep work because it handles long documents more reliably, produces more precise outputs for compliance and technical work, and Anthropic’s privacy position aligns with how we manage client data. We wrote about this decision in detail: Why a Microsoft Partner chose Claude over Copilot.
Copilot for 50 users costs $1,500/month on top of your existing Microsoft 365 licences. Claude Team for 50 users costs $1,250/month. ChatGPT Team for 50 users costs $1,250/month. Most businesses do not need every user on every tool. A typical deployment might put 20 heavy Outlook users on Copilot and 10 analysts or technical staff on Claude, bringing the total to around $850/month. Work with your IT provider to match tools to roles.