Choosing Between ChatGPT, Microsoft Copilot, and a Managed AI Workflow

When businesses consider AI, three options come up repeatedly: ChatGPT, Microsoft 365 Copilot, and managed AI workflows. They are often discussed as if they are alternatives. They are not. They serve different purposes, and understanding those differences matters.

Option 1: ChatGPT (consumer AI tool)

What it is

ChatGPT is a general-purpose AI chatbot made by OpenAI. It is available as a free tier, a paid individual plan (Plus), and business plans (Team and Enterprise). Users interact with it through a web interface or mobile app, typing questions and receiving text responses.

What it does well

ChatGPT is excellent for general-purpose text tasks: drafting, summarising, brainstorming, and answering knowledge questions. It is fast, broadly capable, and requires no technical setup. For individual productivity on non-sensitive tasks, it is genuinely useful.

Where it falls short for businesses

• Data handling: On the free and Plus plans, conversations may be used to train future models (users can opt out, but this requires individual action). Even on business plans, data is processed on OpenAI's infrastructure, not your company's.
• No integration with your systems: ChatGPT does not connect to your email, document management system, or CRM. Every piece of context must be manually copied and pasted.
• No access controls or logging: There is no way for the business to see what staff are entering into ChatGPT, no approval workflows, and no audit trail.
• No governance: Using ChatGPT for customer-facing work puts the governance burden entirely on the individual user. The business has no systemic controls.

ChatGPT is appropriate for personal productivity on non-sensitive tasks. It is not appropriate as the primary AI tool for a business handling confidential data.

Option 2: Microsoft 365 Copilot (platform AI feature)

What it is

Microsoft 365 Copilot is an AI layer built into the Microsoft 365 applications your business likely already uses: Word, Excel, Outlook, Teams, and PowerPoint. It requires a separate licence (currently GBP 22.60 per user per month for business plans) on top of your existing M365 subscription.

What it does well

Copilot works within your existing tools. It can draft documents in Word using context from your SharePoint files. It summarises email threads in Outlook. It generates meeting notes in Teams. It creates presentations in PowerPoint. Because it is integrated into the M365 ecosystem, it can access your company's data without requiring manual copy-paste.

Where it falls short for businesses

• Permission inheritance: Copilot accesses any content the user has permission to see. If SharePoint permissions are loose (which they usually are), Copilot can surface sensitive documents from across the organisation.
• Limited workflow capability: Copilot assists with individual tasks within M365 apps. It does not create structured workflows with approval gates, routing logic, or audit logging.
• Requires preparation: Deploying Copilot without first reviewing SharePoint permissions, data hygiene, and sensitivity labels creates data exposure risks.
• Microsoft-only: Copilot works within M365. If your business uses other tools (Slack, non-Microsoft email, or specialised management software), Copilot cannot access that data.

Copilot is a strong choice for businesses that are invested in the Microsoft ecosystem and have done the governance groundwork. It is not a governance tool in itself.

Option 3: Managed AI workflow

What it is

A managed AI workflow is a purpose-built system that applies AI to a specific business process. It is designed for a defined task (email triage, document routing, intake processing), connected to your company's data sources, and operated with approval gates, access controls, and audit logging. It runs in a private environment and is managed by an external partner.

What it does well

• Purpose-built: Each workflow is designed for a specific process, not a general-purpose chatbot.
• Governed by design: Approval gates, access controls, and audit logging are built into the system from day one.
• Private: Data stays within your company's controlled environment.
• Managed: Monitoring, tuning, and support are handled externally. Your business uses the system but does not need to maintain it.
• Measurable: Because the workflow is scoped to a specific process, results can be measured against defined success criteria.

Where it falls short

• Not general-purpose: A managed workflow handles one defined process. It is not a general-purpose assistant for any question or task.
• Higher initial investment: Setup costs are higher than buying ChatGPT subscriptions or Copilot licences, because the system is custom-configured for your process.
• Requires scoping: The workflow needs to be defined, agreed, and built before it delivers value. This takes 2-3 weeks, not minutes.

Which approach fits your business?

The three options are not mutually exclusive. Many businesses use a combination.

• ChatGPT (or equivalent consumer tool): Appropriate for individual brainstorming and non-sensitive drafting, provided the business has a clear AI usage policy that defines what data can and cannot be entered.
• Microsoft Copilot: Appropriate for businesses deep in the M365 ecosystem that have completed the governance groundwork (permissions audit, data hygiene, sensitivity labels). Best for general productivity across M365 apps.
• Managed AI workflow: Appropriate for businesses that have a specific process bottleneck and want measurable, governed results. Best for defined workflows where control, logging, and approval matter.

The key distinction is between "AI as a tool I use" (ChatGPT, Copilot) and "AI as a managed process" (workflow). Most businesses need both: a governed general-purpose tool for individual productivity, and managed workflows for the specific processes where AI can save the most time.

The mistake to avoid

The most common mistake is treating a consumer AI tool as a substitute for a governed approach. Buying ChatGPT Team licences and telling staff to "use AI" is not AI adoption. It is uncontrolled tool distribution. The business gets no visibility, no governance, and no ability to measure results.

Start with governance (an AI usage policy and a controlled environment), then layer in the right tools for the right purposes. That is the sequence that works.