How the AI Agent ASI Biont Integrates with Microsoft Dynamics 365: No-Code ERP Automation

Microsoft Dynamics 365 is an enterprise platform that combines CRM and ERP. However, even the most modern versions require manual effort when entering orders, updating the customer base, and generating reports. The AI agent ASI Biont solves this problem: it connects to Dynamics 365 through an open API and automates routine tasks. The key point is that you don't need to be a developer. Simply paste an API key into the chat and describe the task, and the agent will write the integration code itself and run the scenario. In this article, we'll look at how this works, which tasks it covers, and where to apply it.

Microsoft Dynamics 365: A Brief Overview for First-Timers

Dynamics 365 is not a single program but a family of cloud modules from Microsoft. These include: Sales (sales management), Customer Service (client service), Field Service (on-site service), Finance (financials), Supply Chain Management (logistics and procurement), and Business Central (ERP for mid-sized businesses). All modules are built on a unified platform called Dataverse, which stores data in tables and provides access via a REST API (OData).

This is important because the presence of an open API makes Dynamics 365 an ideal candidate for integration with external AI agents. Programmers have used this API for a long time: they can create records, update contacts, retrieve current statuses, and invoke business processes. But for the average entrepreneur or manager, these methods are hidden behind complex terminology: authentication via Azure AD, obtaining an OAuth token, constructing POST and GET requests. ASI Biont takes over this technical work.

Why Connect Dynamics 365 to an AI Agent

The main reason is saving time. Employees have to log into the system, click buttons, fill in fields, and export data. An AI agent does the same thing through the API, but dozens of times faster and without clicks. The connection solves four tasks:

1. Automated data entry. A request from Telegram, email, or a form automatically becomes an order in Dynamics 365.
2. Quick access to information. An employee asks in the chat: "What's the status of invoice No. 2045?" — and gets an answer in a second.
3. Updating reference data. Did a client change their address or tax ID? The agent updates the record in Dataverse.
4. Proactive notifications. The agent can monitor the system and send alerts about payments, delays, or status changes.

In all scenarios, Dynamics 365 remains the "system of record," and ASI Biont becomes a convenient interface between the human and the ERP. This is similar to how a messenger became the interface to email: you don't open an email client; you just write a message.

How ASI Biont Integration with Dynamics 365 Works

The traditional integration approach looks like this: hire a developer, spend several months writing code, set up an integration bus, run tests, and only then implement. With ASI Biont, it's different — integration is configured through a dialogue with the AI agent in a chat.

You need to take three steps:

1. Get an API key (more precisely, the client ID and client secret of an application registered in Azure Active Directory).
2. Provide these details to the ASI Biont chat.
3. Describe what exactly you want to automate.

Then the agent acts on its own:

• analyzes the structure of the Dynamics 365 API (endpoints, methods, fields);
• determines the authorization protocol — usually OAuth 2.0 client credentials flow;
• writes a wrapper code in the language chosen for the task;
• tests the connection on test data;
• runs the scenario and reports readiness.

There is no control panel with an "Add integration" button. There is no list of fifty connectors, half of which don't work. ASI Biont connects to any service that has an API. If the API is documented, the agent will write code for it right now.

Why This Works Faster Than Power Automate

Microsoft offers its own tool, Power Automate, for creating automation scenarios. It's convenient for simple flows but has limitations. The visual designer can get confusing when the logic is branched. Moreover, standard connectors don't always cover the required operations, and for non-standard APIs you have to write custom expressions or use HTTP requests — simplification doesn't help.

An AI agent works differently. You don't build a flowchart; you formulate a task in natural language: "Connect Dynamics 365 and create orders from customer messages." The agent itself decides which API methods to use, how to handle errors, and how to account for duplicates. This is much closer to an assistant than to an automation builder.

Mechanics Under the Hood: How the AI Agent Writes Code

To make it clearer, let's look at an example. You write in the ASI Biont chat:

"Connect Dynamics 365 using client ID and client secret, here they are. I need that when a request from Telegram is received, a record is created in the 'Order' entity with a linked contact and products."

The agent sequentially:

1. Authenticates: forms a POST request to login.microsoftonline.com with parameters client_id, client_secret.
2. Obtains an access token for the Dynamics 365 API.
3. Studies Dataverse metadata via Web API, finds the order entity and related fields.
4. Creates a new record using a POST request to https://org.crm.dynamics.com/api/data/v9.2/orders.
5. Links the contact and line items using navigation properties.
6. Returns the result to you: "Done, order OR-12345 created." If there is an error in the code, the agent sees the error text in the API response and fixes the code right in the dialogue.

You don't need to understand code. The agent does it all itself, according to your instructions. You can ask to change the logic at any time: "Add a mandatory comment field," "Check the customer by tax ID and don't create duplicates," "Disable notifications at night."

Practical Use Cases

Here is a table of typical tasks that can be automated with the ASI Biont and Dynamics 365 combination.

Scenario 1: Automatic Order Creation from Correspondence

A wholesale company receives requests from customers via WhatsApp, Telegram, and email. Managers copy the request text into the ASI Biont chat. The agent finds the customer in Dynamics 365 by name, checks product availability, calculates the price, and creates an order. If the request specifies non-existent SKUs, the agent asks the employee for clarification to avoid creating an error in the system.

Before implementation, one order took about 10–15 minutes of manual entry. With the agent, it takes a couple of minutes for verification. The company eliminated typos and forgotten fields. The system is always up to date, and accounting sees orders immediately after they are created.

Scenario 2: Status and Analytics on Demand

The head of the sales department asks the agent at 10 a.m.: "Give me a summary of funnel conversions for yesterday, grouped by managers." The agent requests data via the Dynamics 365 Sales API, aggregates it, and sends a table. Previously, the manager had to build a report in Power BI or manually export data — now it takes a minute.

Scenario 3: Data Reconciliation and Synchronization

A company uses several services: Dynamics 365, Bitrix24, and an external database on Google Sheets. A client changes an address in an email — the manager forwards the email to the chat, the agent finds all duplicates and updates the address in all systems with appropriate access rights. This is also integration: ASI Biont connects to each system via API and moves data.

Step-by-Step Guide to Connecting Dynamics 365 to ASI Biont

If you're ready to try it, here is the connection protocol.

1. Set up an application in Azure AD. Log in to the Azure portal, create an app registration, get the client ID and client secret. Instructions are available in Microsoft Learn.
2. Grant permissions. Assign the application minimal necessary roles, e.g., data reading or access to specific Dataverse entities.
3. Copy the environment URL. This is your CRM address, e.g., https://org.crm.dynamics.com.
4. Open the ASI Biont chat. Paste the client ID, client secret, and URL. The agent will ask what data types your Dynamics 365 uses.
5. Create a scenario. Describe the task in words: "Create an order for every message from this chat" or "Show the last 5 open invoices."
6. Test on test data. The agent will make a trial API call and show the result. If something is wrong, ask to fix it.
7. Run in production mode. After confirmation, the agent starts working with real data.

There is no need to click buttons like "add integration" in a wizard. Everything happens through a dialogue. You can write at any moment: "Stop," "Change the scenario," "Add duplicate checking" — and the agent will make the adjustments.

Security and Access Rights

When integrating, it's important to follow basic security rules.

• Don't share secrets with third parties. The client secret is access to your data. Store it securely; don't paste it into public chats.
• Use the principle of least privilege. Most agents require only read and write rights on specific entities. Don't grant administrator rights.
• Start with a test environment. If Dynamics 365 has a sandbox, first test the scenario there.
• Key revocation. If you suspect a leak, you can always delete the key in Azure AD and issue a new one.

ASI Biont does not have access to your Dynamics 365 password. It works only with the token you provided and within the scope of that token's permissions.

Saving Time and Money: What You Get

It's hard to give an exact amount of savings: it depends on the number of operations. But the logic is simple. Suppose your company creates 100 orders a day. Manual entry of one order takes about 5 minutes. That's 500 minutes, or more than 8 hours daily. You'd have to pay a hired operator for that. An AI agent does it in seconds, and a human only checks the result.

Plus data quality. Manual transfer always comes with errors: missing fields, wrong counterparty selection, typos in SKUs. The agent works strictly via API and takes values from your own message or from an external system, so the number of errors significantly decreases. This saves time on fixing consequences, as well as money that could be lost due to an incorrectly formed order.

Another factor is launch speed. An integration project with an external contractor can take anywhere from two weeks to two months. ASI Biont is configured within an hour, including scenario review. Faster start means earlier beneficial impact.

Frequently Asked Questions

Can ASI Biont connect to Dynamics 365 Business Central?

Yes. Business Central also has an open API v2.0 based on OData. You provide the authentication data, and the agent works with the same principles: it can create records for invoices, orders, and contacts.

Do I need to know programming languages?

No. The code on the ASI Biont side is written by the AI agent. You are only responsible for providing the key and describing the task. However, understanding basic terms — API, token, endpoint — will help you give precise instructions.

What if the service changes its API?

If Microsoft updates the Dynamics 365 API, the agent on the next run will notice a connection error, examine the new documentation, and make changes to the code. You just need to report the issue in the chat, and the agent will adapt the integration itself.

Is this suitable for small businesses?

Yes. ASI Biont can be used without an IT development team. The subscription for an agent is usually cheaper than a programmer's salary or outsourced integrator services. For a small company where every hour matters, this is a tangible benefit.

Sources and Official Documentation

To verify facts, refer to official materials:

• Microsoft Dynamics 365 Documentation — https://learn.microsoft.com/en-us/dynamics365/
• Microsoft Dataverse Web API (OData) — https://learn.microsoft.com/en-us/power-apps/developer/data-platform/webapi/overview
• Dynamics 365 Business Central API v2.0 — https://learn.microsoft.com/en-us/dynamics365/business-central/dev-itpro/api-reference/v2.0/
• ASI Biont website — https://asibiont.com

Conclusion

Microsoft Dynamics 365 is a powerful system, but without automation it forces employees to perform tedious routine. ASI Biont makes Dynamics 365 accessible directly from chat: it creates orders, answers queries, synchronizes contacts, and generates reports. All integration is configured through a dialogue with the AI agent — no code, no long projects, and no fragile connectors.

Try it right now. Go to asibiont.com, start a chat with the AI agent and ask it to connect your Dynamics 365. You'll see how, within minutes, the agent writes the integration itself and starts saving your time and money.