🤖 Create your first AI agent in minutes with Copilot Studio 🧠

Can you imagine having a virtual assistant that speaks your company's language, knows your processes and can act for you?
With Copilot Studio, from Microsoft, that is already possible.

💡 What is Copilot Studio?

It is the platform that allows create custom copilots: AI agents capable of answering questions, automating tasks and connecting to your work tools (Microsoft 365, Power BI, SharePoint, Dynamics…).

And the best bit: You don't need to be a programmer. Copilot Studio combines a very intuitive visual interface with the power of state-of-the-art language models (such as GPT).

✨ Checklist: What do you need to create your agent?

🧩 Quick checklist: what you need before creating your copilot

✅ Microsoft 365 account
✅ Access to Power Platform
✅ Updated data (SharePoint, OneDrive or CRM)
✅ Clarity on which tasks to automate
✅ Time to test, measure and adjust

⚙️ How to create your agent step by step

1️⃣ Access the portal 👉 https://copilotstudio.microsoft.com
Create your new copilot by choosing a name, language and purpose.

2 Design the conversation topics
You can create conversation flows or let the AI generate them for you.
You just have to describe what you want your agent to do (for example: “Help with billing queries”).

3️⃣ Train it with your own data
Connect the copilot to your documents from SharePoint, OneDrive or your corporate website.
You can even link it with Power BI o Power Automate to consult data or execute real actions (like sending emails or creating tickets!).

4️⃣ Publish it wherever you need to
You can integrate it into Teams, your website or your business apps.
From there, the copilot will respond to users and learn from interactions.

🔗 The magic of integration

Copilot Studio is part of the Power Platform, so it easily connects with:

💬 Power Automate for automated workflows.
📱 Power Apps to create personalised experiences.
📊 Power BI so that the agent responds with real data.

Example: Imagine asking: “What were last quarter's sales?” And having the agent show it to you instantly, without opening any reports.

🌍 The future of work is already here

Agents created with Copilot Studio they go beyond the traditional chatbot:

✅ They understand natural language.
✅ They adapt to the context.
✅ And they can act, not just answer.

We are looking at a new generation of smart assistants that they enhance human productivity and turn the data into conversation.

💰 How much does it cost to create and maintain an agent in Copilot Studio?

When we talk about deploying a AI agent via Copilot Studio, it has to be considered two main types of cost: the licence/subscription and the cost per use (maintenance) of the agent.

• Licence / subscription

– If you already have the licence for Microsoft 365 Copilot for internal users (employees) in apps like Teams, SharePoint, etc., use Copilot Studio to create agents in those environments can be included at no additional cost for those internal interactions.
– If you want a broader deployment (custom agents, published to external channels, premium connectors, etc.), Copilot Studio is licensed under credit packages (“Copilot Credits”) or via a pay-as-you-go model:

A typical package: 25,000 Copilot Credits/month for approx. US $200 per month (≈ €170/month) for that volume.
Alternatively, a pay-as-you-go model: you pay only for what you use, at ~US $0.01 per credit (≈ €0.0085) depending on the scenario.

• Cost per use / maintenance

Once the agent is published, the cost depends on:

The number of interactions it gets (how many times users use it).
The complexity of the responses it gives (whether it is a simple response, a more complex generative one, or whether it performs actions).
For example:
A “classic response” to a question can cost 1 credit.
A “generative response” can cost 2 credits.
An “agent action” (which triggers a flow, integrates data, etc.) can cost more (e.g. 5 credits or more depending on the action).

• Example tailored for you

If your company launches an agent that is used 5,000 times a month, and each interaction costs, say, an average of 2 credits → that would be ~10,000 credits per month. Under the package model: with 25,000 credits per month from the ~US$200 package, you’d be well covered. If usage skyrockets (for example, 100,000 interactions per month), the PAYG model might suit you better.
Also, extra costs will need to be factored in if:

You connect the agent to multiple data sources (Dataverse, premium connectors, etc.)
You publish on external channels (website, WhatsApp, etc.)
You need development/production environments, monitoring, governance, etc.

• Considerations for maintaining the agent

“Maintenance” is not just the economic cost of use – it also includes:

Usage monitoring, failures, conversation flow adjustments
Knowledge base update (to keep the agent relevant)
Security, compliance (especially if you are in Spain/EU, with data protection regulations)
Scalable if usage grows, which may involve changing plan or adjusting consumption model

👌 Good practices for designing a good agent

When creating an agent, you have to think about the conversational experience. Don't forget to do this:

Define a personality or tone (formal, empathetic, technical...).
Use clear language and avoid overly long answers.
Take advantage of the option to suggested replies to guide the conversation.
Regularly update the topics and data to keep it relevant.
Manage permissions and security: who can access, what they can do.

Real-world use cases

These are some real examples of how companies are using Copilot Studio:

Internal IT support: An agent that helps employees with technical incidents, password resets, or internal policy queries.
Customer services A copilot connected to the customer and invoicing database to resolve queries instantly.
Sales analysis: An agent that queries Power BI and answers similar questions “What are the most profitable products this month?”
Human Resources An assistant who answers questions about holidays, payslips or training.

📈 Impact on productivity and ROI

Below is an example of how an agent reduces costs and hours.

“A well-designed agent can handle more than 60 % of repetitive internal enquiries, freeing up staff time and improving customer satisfaction.”

And add a small estimate like:

“If an agent handles 1,000 queries a month that previously took 2 minutes of human time each, we are talking about more than 30 monthly hours freed up.”

🧠 Future: integration with Copilot 365 and Azure OpenAI

These are the future trends of Copilot agents:

Copilot Studio it will become increasingly integrated with Microsoft 365 Copilot.
You will be able to take advantage custom Azure OpenAI models (for example, training the agent using a GPT model specialising in your sector).

In the near future, every company will have its own corporate copilot

🚀 In short

Create a AI agent with Copilot Studio it's like adding a new digital colleague to your team:
fast, efficient and completely personalised.