In this blog, I’ll provide a concise guide on swiftly getting started with building a chatbot powered by your or your customers’ data.

Microsoft is putting a lot of attention into producing products which allow their customers to access and use AI simply and effectively; essentially removing barriers to implementation. One of these products is the Copilot studio, which allows you to, in a no-code environment, create chatbots based on various data repositories.

What is Copilot Studio?

Copilot Studio is Microsoft’s enhanced version of Power Virtual Agents, reflecting their significant investments in generative AI and improved integrations. This upgrade brings the virtual agent capabilities into Copilot Studio, allowing you to create powerful AI-powered copilots. These copilots can handle a wide range of requests, from answering common questions to resolving complex issues.

You can engage with customers and employees in multiple languages across various platforms, including websites, mobile apps, Facebook, Microsoft Teams, and any channel supported by the Azure Bot Framework.

Why should you use it?

What really attracts me to this tool is its ease of use. Over the past 1-2 years, the technology has significantly advanced, especially with the integration of large language models into the Microsoft stack. Previously, setting up an intelligent chatbot was cumbersome and required substantial knowledge and some coding skills.

Now, with Copilot Studio, if you have a well-formatted website or a Sharepoint site with well-formatted and concise documents contained as your source material, you can create an intelligent chatbot and make it available to customers within minutes—no exaggeration. Additionally, it’s now much easier to deploy these bots across various popular channels, such as:

How to do it?

Step 1

This is probably the simplest step and will take just about two minutes to create a functional chatbot! Currently, you can still obtain a Copilot license on a free trial, making the licensing process as straightforward as creating a Microsoft account. You’ll then see the following screen (with some details hidden for client confidentiality). From there, click ‘New copilot’.

Step 2

We can then proceed with the setup for Copilot:

 

Step 3

It’s now time to name your bot. Start by giving your bot a unique name and selecting a language. You can choose from most European and major Asian languages.

Step 4

Input a source for the generative AI, such as a website. For simplicity, you might use your current employer’s site as it typically requires fewer permissions.

Step 5: Create!

Then, click ‘Create’ and wait a minute for the setup to complete.

Your bot will then be ready to answer questions based on the provided source material within the studio window. This means you can immediately start interacting with it and see how effectively it can assist with inquiries, providing accurate and reliable information right from the start.

Setting up your chatbot is incredibly simple and efficient, making it accessible for everyone, even those with minimal technical experience. The flexibility to name your bot, select a preferred language, and use a familiar data source ensures a personalised and relevant user experience. This streamlined process, paired with the power of generative AI, enables you to quickly deploy a functional chatbot tailored to your specific needs.

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