Build an AI Agent with Copilot
Copilot is Microsoft's AI assistant. It runs on OpenAI's models (the GPT-5 family), on Microsoft's own models and, since 2026, on Anthropic's Claude models for certain tasks. Its real advantage isn't raw model quality. It's integration. Copilot lives inside Word, Excel, Outlook, Teams and Windows, exactly where the work already happens.
On the agent side, Microsoft has bet on Copilot Studio: a low-code, visual interface for building AI agents with persistent memory, knowledge sources connected to company data, and multi-step orchestration triggered by events. More than 230,000 organisations already use Copilot Studio to build custom agents. In GPTPro, you can test the same kind of agent against GPT, Claude, Gemini and Mistral, to see what the Microsoft layer actually adds for your specific use case.
- Vs GPT, Gemini, and Mistral
- No technical setup required
- Free trial
Why choose Copilot for your AI agent
Built into the tools you already use
Copilot drafts in Word, analyses in Excel, summarises in Teams, and triages in Outlook. The agent isn't an extra tab bolted on the side. It acts directly inside the open document, with full context of the file and the ongoing conversation.
For a company already running on Microsoft 365, that's the whole pitch. No new habits to learn, data stays inside the existing environment, and agents published from Copilot Studio become accessible straight from Teams or Microsoft 365 Copilot.
Copilot Studio: autonomous agents without code
Copilot Studio lets you build agents through a visual interface: plain-language instructions, knowledge sources (SharePoint, Dataverse, Salesforce, ServiceNow), and automatic triggers. These agents don't just answer chat messages. They plan and execute multi-step tasks without constant hand-holding.
Computer-use agents, able to operate websites and desktop apps without an API, are available. A prebuilt agent library covers common scenarios: support, HR, procurement, finance. It's the most complete agent offering among the major vendors for non-technical teams.
Enterprise governance built in
Microsoft provides a centralised control plane for agents: inventory, permissions, DLP policies, audit logging through Purview. IT approves or blocks agents directly from the Teams and Microsoft 365 admin centres.
Compliance follows Microsoft 365 standards: data stays within the tenant, actions are logged, access is controlled by role (RBAC). For regulated industries, and for teams that need to satisfy Malaysia's Personal Data Protection Act 2010 (PDPA), overseen by the JPDP (Jabatan Perlindungan Data Peribadi), or GDPR when serving EU customers, this level of governance is a genuine practical advantage.
Scale that comes with a large ecosystem
In Microsoft's third fiscal quarter of 2025, more than 230,000 organisations, including 90% of the Fortune 500, were using Copilot Studio. Over one million custom agents were created in that quarter alone, a 130% jump from the prior quarter.
That volume translates into extensive documentation, well-tested use cases and an active maker community. For a small or mid-sized business rolling out its first agents, that's a practical safety net.
Test Copilot on your specific use case, not just benchmarks.
Known limitations to consider
Value depends on your Microsoft licensing
The consumer-facing Copilot chatbot is free with usage limits. The integration into Word, Excel and Outlook, which is the real draw for business users, requires Microsoft 365 Copilot, priced at roughly RM130 per user per month on top of a Microsoft 365 licence. Advanced agents in Copilot Studio are billed on consumption through Copilot Credits.
Outside the Microsoft ecosystem, the maths stops making sense: you'd be paying for integration with tools you don't use. Run the numbers on licences plus estimated consumption before signing anything.
Rarely the strongest model head-to-head
Given the same prompt, conversational Copilot often underperforms GPT, Claude or Gemini used directly on long-form writing, complex reasoning or code. The Microsoft layer adds integration, not extra intelligence.
For an agent where output quality is what matters most (content, analysis, synthesis), compare the underlying models before defaulting to Copilot. GPTPro makes that comparison a five-minute exercise.
A confusing product lineup
Consumer Copilot, Copilot Pro, Microsoft 365 Copilot, Copilot Chat, Copilot Studio, Copilot Credits, Dynamics 365 agents: the naming is dense and the tiers overlap.
The real total cost of an agent deployment tends to surface gradually, especially once consumption-based billing kicks in. Be clear on the difference between Agent Builder (personal or team use, simple setups) and Copilot Studio (organisation-wide, complex workflows, IT governance) before picking your entry point.
How to build an AI agent with Copilot
Step 1: pick the right entry point for your use case
If the need is acting directly inside Word, Excel or Teams, Microsoft 365 Copilot is the tool for that job. If you're building an agent to automate an actual business process (support, HR, procurement), Copilot Studio is the right starting point.
Before committing to licences, GPTPro gives you access to the same underlying models (the OpenAI family) without a Microsoft subscription. Compare quality first, deploy second.
Step 2: configure the agent in Copilot Studio
In Copilot Studio, create a new agent in plain language: describe its role, its behaviour rules and the expected output format. Connect your knowledge sources: SharePoint, Dataverse, an internal site, or a third-party connector such as Salesforce or ServiceNow.
Add actions through Power Automate to trigger workflows: opening a ticket, sending an email, updating a record. Define the triggers: an incoming conversation, a calendar event, a system alert.
Step 3: test, publish and govern
Test the agent against real documents and real scenarios. Check that it sticks to the source material (no invented answers) before worrying about tone or polish. Use the analytics panel in Copilot Studio to spot the topics where it fails and refine the instructions.
Publish to Teams or Microsoft 365 Copilot from within Copilot Studio. IT signs off on production release through the admin centre. The agent then shows up in the internal Agent Store for the employees who need it.
Frequently Asked Questions
How do you build a Copilot AI agent without writing code?
Through Copilot Studio: a visual interface where you describe the agent's role in plain language, connect knowledge sources (SharePoint, Dataverse, internal websites) and add actions through Power Automate. No code is needed for common use cases. To test the agent's logic before deploying, GPTPro lets you configure a similar conversational agent in a few minutes.
What's the difference between Agent Builder and Copilot Studio?
Agent Builder, available directly inside Microsoft 365 Copilot, is built for personal or small-team use: a meeting assistant, a note-taker, that kind of thing. Copilot Studio is for organisation-wide deployments: complex workflows, automatic triggers, third-party connectors, IT governance, and publishing into Teams or the internal Agent Store.
Is Copilot Studio compliant with data protection rules like Malaysia's PDPA?
Data processed stays inside the organisation's Microsoft tenant, which helps with obligations under Malaysia's Personal Data Protection Act 2010 (PDPA), overseen by the JPDP (Jabatan Perlindungan Data Peribadi), and with GDPR if you serve EU customers. Microsoft provides audit tools (Purview), access controls and DLP policies. None of this replaces legal advice: check your specific obligations with counsel before rolling out agents that touch customer or employee data.
How much does a Copilot AI agent cost?
Copilot Studio is included with certain Microsoft 365 licences, with a monthly message quota. Beyond that, billing shifts to consumption-based Copilot Credits. Access to agents inside Microsoft 365 Copilot (Teams, Outlook, Word) requires the Microsoft 365 Copilot licence, at roughly RM130 per user per month. Total cost depends on message volume, number of users, applicable Sales and Service Tax (SST), and which connectors are enabled. Model your actual usage before committing.
Which model powers Copilot?
Microsoft relies mainly on OpenAI's models (the GPT-5 family), supplemented by its own models and, since 2026, by Anthropic's Claude models for certain Microsoft 365 Copilot features. Copilot Studio also gives access to a wide catalogue of models through Azure AI. That's why testing GPT or Claude directly in GPTPro gives a good read on output quality, without the Microsoft licensing overhead.
Can a Copilot agent connect to Salesforce or ServiceNow data?
Yes. Copilot Studio offers native connectors to Salesforce, ServiceNow and Zendesk as knowledge sources, alongside SharePoint, Dataverse and Azure AI Search. Agents can query these sources in real time through RAG (retrieval-augmented generation) to answer using your organisation's current data.
Test Copilot against other models
GPTPro brings Claude, GPT, Gemini, Copilot, and Mistral into one interface. Configure your agent, compare outputs, and select the best model for your workflow.