In today’s fast-paced business environment, responding to emails quickly and accurately is essential. But handling repetitive queries like product pricing, business hours, and policy details can consume a lot of time.

In this blog, we’ll walk through how to build an intelligent AI agent using Copilot Studio that automatically responds to emails by integrating with Business Central and other data sources.

Benefits of AI Email Autoresponders in Business Central

Implementing an AI-powered email responder provides multiple operational and business advantages.

Key Benefits

• Automates repetitive email handling 

• Reduces manual support workload 

• Improves response time for customers 

• Provides accurate and contextual replies 

• Integrates directly with Business Central data 

• Enhances operational efficiency 

• Supports scalable customer communication 

• Reduces dependency on manual email monitoring 

Businesses receiving a large volume of repetitive emails can significantly improve productivity using AI-driven email automation.

1. Create Copilot agent

Click on “Create blank agent”

Add the name and description of your copilot agent. Also, select the agent’s model for responding.

Also, give your agent instructions to perform its major tasks.

Best Practice for Agent Instructions

While creating your agent, provide detailed instructions so the AI understands how it should behave. For example:

• Respond professionally to customer emails 

• Fetch business-related information from Business Central 

• Answer only based on provided knowledge sources 

• Send polite and accurate responses 

• Escalate unsupported queries when needed 

Well-defined instructions improve response quality and AI accuracy.

2. Add Knowledge:

In the Knowledge section of Copilot, we can source from where our agent will respond to the queries. 
Click on the “Add Knowledge” option to add knowledge. We can add files, SharePoint folders, Dataverse, and many more. 

I have added a file which contains data on business hours and return policies of products. 

Additional Knowledge Sources You Can Use

Apart from files and SharePoint, businesses can also connect:

• Product catalogs 

• FAQ documents 

• Customer service policies 

• Internal SOP documents 

• Business Central records 

• Dataverse tables 

• Website URLs 

• Knowledge base articles 

The more structured and accurate your knowledge sources are, the better your AI agent can respond to user queries.

Why Knowledge Sources Matter

Knowledge sources help the AI agent provide contextual and business-specific responses instead of generic AI-generated answers. This ensures users receive accurate and reliable information directly from company-approved content.

3. Add Tools:

In this section, we can add different tools to make our agent fetch data from it and share it with the user. 
Here I have added Business Central find record and send email Outlook as a tool. 

Additional Tools You Can Integrate

Depending on your business requirements, Copilot Studio also supports integration with several Microsoft tools and business applications to enhance automation capabilities.

Some commonly used tools include:

• Outlook Mail – Automatically read, draft, and send email responses
• Microsoft Teams – Send notifications, alerts, or approvals directly to Teams channels
• Outlook Calendar – Schedule meetings, check availability, and automate calendar events
• SharePoint – Access company documents, policies, and knowledge base files
• OneDrive – Retrieve stored business files and reference documents
• Excel – Read and update spreadsheet-based business data dynamically
• Dataverse – Store and access structured business application data securely
• Azure Data Explorer – Analyze large-scale operational and analytical datasets
• Dynamics 365 ERP – Fetch customer, finance, inventory, and operational business information in real time

Why These Integrations Matter

By connecting these tools with Copilot Studio, businesses can create AI agents capable of handling complex workflows instead of only responding to emails.
These tools allow the AI agent to perform actions beyond simple conversations, making the automation more intelligent and interactive.

4. Triggers:

Here in this section, we must specify the trigger event when we need our copilot agent to get activated. 

Here in our case, we must trigger/activate our Copilot agent when we receive any email on our outlook. For that, we have to select the Power Automate trigger named “When a new email arrives (V3)” trigger. 

Why Triggers Are Important

Triggers help automate the entire workflow without requiring manual intervention. Once configured properly, the AI agent can continuously monitor incoming emails and respond automatically in real time.

This enables:

• Faster response handling 

• Continuous email monitoring 

• Automated customer engagement 

• Reduced manual dependency

5. Publish Agent:

Once all the configuration is complete, publish your created Agent.

Here are some email responses that were made by the Copilot agent.

After publishing the agent, you can further customize the email responses, response formatting, subject lines, and conversational tone based on your business requirements. Businesses can configure the AI agent to send professional, friendly, or support-oriented email responses depending on the communication style they want to maintain.

Publishing the agent makes it ready for live business use and enables organizations to automate email communication workflows efficiently.

Building an AI Email Autoresponder using Copilot Studio and Dynamics 365 Business Central enables businesses to automate repetitive email communication intelligently. By combining AI capabilities, Business Central integration, Power Automate triggers, and knowledge sources, organizations can create scalable and efficient automated response systems.

Ready to Build Intelligent AI Agents for Your Business?

Connect with the experts at Madhda Inc, we help organizations leverage Microsoft technologies like Copilot Studio, Dynamics 365 Business Central, and Power Automate to build intelligent AI solutions tailored to real business needs.