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Introduction 

For a lot of Australian businesses, sales order processing is still one of the most labour-intensive jobs in the order-to-cash cycle. Customer orders are received by email. Then teams end up doing the time-consuming work of checking stock, confirming customer information and finally entering everything into the ERP system. 

And when order volumes start rising, delays, errors and admin costs increase. 

That’s where AI sales order automation is transforming the process.  

Modern ERP platforms like Microsoft Dynamics 365 Business Central now have AI-powered features that help businesses automatically capture incoming orders, cut down the manual typing and speed up processing times. One of the bigger improvements is the Sales Order Agent in Dynamics 365 Business Central, which uses Microsoft Copilot technology to handle sales order workflows in a more automated way. 

Why is Traditional Order Management Becoming a Bottleneck? 

A lot of wholesalers, distributors, manufacturers and supply chain companies across Australia still depend on manual order handling.  

A typical flow goes like this:  

Customer Email-> Manual review->ERP entry->Inventory check-> Quote creation -> Order processing 

Even if it manages to get the job done, it still causes several challenges: high admin workload, slower response times and mistakes that come from manually keying in data. Also, the handling of orders ends up being inconsistent, and it becomes hard to scale when there is rapid growth. 

So, when team members manually re-enter the details from those emails into the ERP system, they end up with less time to focus on customer support and other higher-value work. 

What Is AI Sales Order Automation? 

AI sales order automation uses artificial intelligence to read customer requests, check the important parts, cross-check internal business data and then create sales quotes and orders inside an ERP system. It interprets unstructured information such as customer emails, PDF purchase orders, attached documents, product descriptions, requested quantities and even the delivery instructions. 

The goal is simple: reduce the manual effort while making business processes faster and also keeping accuracy higher. So, organisations can handle more orders without having to increase their admin staffing at the same rate. 

How Does the Dynamics 365 Business Central Sales Order Agent Work? 

Microsoft's Sales Order Agent is an AI-powered capability that’s built right into Dynamics 365 Business Central and it’s meant to help automate sales order intake, from the first customer email to the confirmed order. 

The process involves these key steps: 

1. The agent checks a Microsoft 365 mailbox 

Sales Order Agent works through email. It monitors a mailbox and a folder that you’ve set up for new customer requests. Microsoft states that the mailbox has to be a Microsoft 365 user or shared mailbox in the organisation.  

For example, an Australian distributor can have the agent monitor a dedicated sales inbox where customers send purchase orders and quote requests. 

2. The agent spots the customer and the request 

Then the agent checks the incoming email and identifies the customer by matching the sender’s email address to contact records in Business Central. It can read details from the email body and attachments too if they’re supported. This includes product identifiers, quantities and other request related details. 

That customer and item master data is particularly important because the agent depends on Business Central records when it matches the request. If contact email addresses or item records are incomplete, matching suffers and the request needs manual help. 

3. The agent checks item availability 

Depending on how it’s configured, Sales Order Agent checks whether the requested items exist in the needed quantities before it adds them into the quote or order. 

4. The agent makes a sales quote first 

Sales Order Agent creates or updates a sales quote using the customer’s request. It then prepares a reply to the customer with the quote attached as a PDF. 

5. Human review remains part of the process 

Depending on the configuration, users review incoming messages, quotes and orders, make changes where needed and confirm each step before the agent continues. Outgoing emails always need human review before they are sent. 

6. Customer confirmation initiates the transition to a sales order 

Once the customer confirms the quote, the Sales Order Agent continues, converting the quote into a sales order. This is all subject to the configured workflow and any required user confirmations. For trusted customers, the agent can also be set up to convert quotes straight into orders without sending the quote for confirmation first. 
 
After that, the agent prepares the sales order communication for the customer too. 

So, the default flow looks like: 

Email → Quote → Customer confirmation → Sales Order 

Real-World Industry Scenario 

Suppose there is an Australian wholesale distributor processing hundreds of orders every week. 

Without automation, sales administrators spend much of their time handling order emails manually. 

Consider a customer message such as: “Please supply 250 units of Product A and 150 units of Product B for delivery next week.”   

The process flow will be:  

1. Sales Order Agent: Picks up the incoming email and creates a task for review. 

2. Reviewer: Reviews and confirms the request. 

3. Sales Order Agent: Checks the customer and the items they asked for, confirms whether the items are in stock and works out the delivery dates when required, then creates the sales quote. It adds a review step with the reply email and quote PDF attached. 

4. Reviewer: Reviews and approves the quote. 

5. Sales Order Agent: Sends the quote to the customer. 

6. Customer: Reads the quote carefully and confirms the order over email. 

7. Sales Order Agent: Identifies the confirmation and then creates another review step. 

8. Reviewer: Reviews again and confirms the customer’s approval. 

9. Sales Order Agent: Converts the quote into the actual sales order and prepares the order confirmation email. 

10. Reviewer: Reviews the email. 

11. Sales Order Agent: Sends the order confirmation to the customer. 
     

Several of these review steps can be switched off for registered senders or trusted customers, but outgoing emails always need a reviewer’s approval. 

Three Major Value-Led Capabilities of Sales Order Agent  

Here are three capabilities that make AI sales order automation with Sales Order Agent worth considering:  

• Secure Infrastructure 

The Sales Order Agent runs with limited permissions. Admins set the access rules so it fits your security and compliance needs. 

• Comprehensive tracking of activities  

Every action gets logged. The emails and PDFs are also reviewed before they go out to customers. 

• Human Oversight 

The agent takes on the repetitive tasks like reading emails, drafting the quotes and advancing the workflow, while designated users review and approve the key steps. That gives salespeople time for customers, relationships and closing deals. 

Business Central 2026 Changes: Key Updates  

Here are the main updates around Business Central and Sales Order Agent: 

1. You can now run multiple Sales Order Agents in the same company, each one with its own mailbox, rules and general settings. 

2. Item matching is also smarter. It checks item numbers, vendor item numbers, GTINs and cross-references first, then product attributes, and then falls back to a broader search. 

3. PDF support has also improved: the agent now processes PDFs up to 50 pages (up from 10), within file-size and content limits. 

4. Before anything gets processed, there’s a relevance filtering step. Incoming emails and attachments are reviewed first, then only the relevant ones get handled, so credits aren’t spent on marketing emails or out-of-scope requests. 

5. Business Central 29.0 is in public preview and general availability is expected around October 2026. 

For Australian businesses getting ready for AI agent adoption, this makes version planning and sandbox testing especially important. 

Sales Order Agent Pricing: What Should Businesses Expect? 

Pricing is an important consideration Australian businesses look at when they’re evaluating a Sales Order Agent. 

The first area is the gap between the Business Central licence cost and what the AI agent consumes. 

Currently, Microsoft lists Business Central Essentials and Premium in Australia at AU$119.70 and AU$164.60 per user/month respectively and it’s paid yearly excluding GST. Sales Order Agent uses Copilot Credits for AI interactions that incur charges based on interaction complexity. Microsoft also lists Sales Order Agent and Payables Agent separately and states they both need Copilot Credits.  

Explore more about Business Central and it’s licensing cost here: Microsoft Dynamics 365 Business Central Partner | Dynamics Square 

Because of that, Dynamics 365 Sales Order Agent needs to be planned for as a consumption-based AI capability. 

Conclusion 

For Australian distributors, manufacturers, wholesalers and even the growing SMB category, AI sales order automation is becoming a real differentiator when it comes to operating efficiently and also supporting scalable growth.   

As a Microsoft Solutions Partner, Dynamics Square helps organisations use Dynamics 365 Business Central, Microsoft Copilot and AI-powered agents to modernise their order management workflows and unlock business value.  

Connect with Dynamics Square to assess your Sales Order Agent use case, estimate your Copilot Credit needs and determine the crucial next steps.