AI Agents in Business Central: A Complete 2026 Guide to Agentic ERP

The way businesses interact with their ERP systems is evolving with the help of artificial intelligence. Modern ERP platforms are increasingly taking over tasks that previously depended entirely on employees, such as entering data, reviewing transactions, moving information between screens, and following repetitive procedures. With Copilot, integrated AI agents, and the ability to create personalized agentic experiences, Microsoft Dynamics 365 Business Central is moving in this direction. At Attaya, we help businesses explore modern Microsoft Dynamics 365 solutions that support smarter operations, improve efficiency, and simplify business processes. These AI capabilities allow businesses to automate certain processes while keeping employees involved when decisions, approvals, or exceptions require human judgment.

This represents a significant shift for companies using Business Central. The focus is no longer limited to automating individual tasks. With limited human assistance, AI agents can work across multiple stages of a business process, analyze data, interact with Business Central data, and perform specific tasks. This guide explains what AI agents are, how they work in Business Central, where they can be used, how they differ from Copilot and traditional automation, and what businesses should consider before adopting agentic capabilities in their ERP environment.

 

What Are AI Agents in Business Central?

Unlike conventional assistants or automation tools, AI agents are software-based workers designed to carry out specific business tasks with a higher level of autonomy. An agent can be configured in Business Central around a particular business process. It can perform activities, work with relevant ERP data, analyze information, and request human involvement when a decision or approval is required.

For example, an AI agent can handle several tasks within a connected process, such as reading a customer email, identifying the requested products, checking inventory, creating a sales document, and preparing a response, instead of requiring an employee to complete each step manually. This does not mean that AI should make every ERP decision. The goal of agentic ERP is to automate suitable tasks while maintaining business rules, authorization, monitoring, and human oversight.

According to Microsoft, Business Central agents are autonomous capabilities that can help automate repetitive tasks while allowing people to oversee and review activities that require their involvement. 

 

Why Agentic ERP Is Becoming Important

Traditional ERP systems are highly effective at recording transactions and managing business processes. However, many employees still spend significant amounts of time performing repetitive tasks within the ERP.

Consider a few common examples:

• Reviewing data from emails

• Entering customer orders

• Processing supplier invoices

• Matching documents

• Checking inventory

• Preparing documents for approval

• Following up on missing information

• Moving data between connected processes

• Reviewing common exceptions

Although these activities may be important, employees do not always need to perform every step manually. Because of this, AI agents can be particularly valuable for businesses looking to improve efficiency without removing the structure and controls provided by their ERP system.

 

Business Central Copilot vs. AI Agents

Copilot and AI agents both play an important role in Microsoft's AI strategy for Business Central, but they serve different purposes. A copilot generally acts as an assistant when a user requests help. It can generate content, provide insights, assist with specific tasks, or summarize information.

AI agents, on the other hand, are designed to perform specific tasks with greater autonomy. They can complete multiple activities, work in the background, and involve an employee when human input is required.

 

How AI Agents Work with Business Central

Artificial intelligence alone is not enough to operate an AI agent. It needs a controlled environment, clear instructions, appropriate permissions, and access to relevant business data.

 

A typical agentic process may involve several steps:

 

1. Determine the Trigger

An email, document, transaction, or another business event can initiate the process.

2. Recognize the Data

The agent interprets the available information and identifies the relevant details.

3. Obtain Business Information

The agent interacts with Business Central data, including customers, vendors, items, inventory, prices, and documents.

4. Complete the Assigned Task

The agent performs the required actions according to its instructions and the available business logic.

5. Look for Exceptions

If important information is missing or a situation falls outside the defined process, the agent can request human assistance.

 

AI Agents Available in Business Central

Microsoft has introduced several AI capabilities in Business Central, including autonomous agents and AI-assisted features for areas such as inventory, sales, finance, and other business functions. The Sales Order Agent and Payables Agent are among the capabilities highlighted in current Business Central documentation, while Microsoft's 2026 roadmap also includes enhanced agent management and personalized agent experiences.

 

AI Agents Across Business Operations

AI agents can be used for purposes beyond accounts payable and sales orders. As agentic capabilities continue to expand, businesses can explore opportunities across various areas of Business Central.

 

Finance

AI agents can assist with repetitive financial activities, including document preparation, transaction-related processing, expense workflows, and reconciliation-focused tasks.

Sales

Sales teams can reduce manual effort involved in handling incoming customer requests, preparing orders, and processing related information by using agentic capabilities.

Purchasing

Procurement teams can benefit from automating supplier documentation, purchasing processes, approvals, and routine procurement tasks.

Inventory

AI-supported workflows can help employees understand inventory data and identify issues that require attention.

AI can also help users work with ERP information more effectively by summarizing data and highlighting important business insights.

Custom AI Agents for Business Central

Every business has processes that differ from standard ERP operations. Distributors may have different approval procedures from manufacturing companies. Similarly, project processes may vary between wholesalers and professional services organizations.

 

Microsoft is expanding Business Central's ability to support personalized agentic experiences, allowing businesses and developers to create AI-driven processes based on specific business requirements. Microsoft's 2026 release plans include custom AI agent capabilities and enhanced MCP-based agentic experiences.

 

Key Advantages of Agentic ERP

 

Reduced Manual Repetition

Employees can spend less time entering data and performing routine administrative tasks.

Faster Business Processes

Processes can continue without waiting for every task to be completed manually when an agent can handle multiple connected steps.

Better Use of Employee Time

Finance, sales, purchasing, and operations teams can focus more on analysis, customer interactions, exceptions, and business decisions.

Connected Business Information

Because agents work within or connect to Business Central, they can use the organization's ERP data instead of relying on separate spreadsheets or disconnected systems.

Improved Process Consistency

Defined agent instructions can help teams standardize repetitive tasks and processes.

Scalable Operations

Agentic capabilities can help businesses manage repetitive activities without increasing manual effort at the same rate as transaction volumes grow.

Faster Access to Business Data

AI-assisted capabilities can make it easier for users to understand ERP data and take appropriate action.

 

Challenges to Consider Before Implementing AI Agents

Although AI agents can provide significant benefits, businesses should not implement them without proper planning.

 

Data Quality

Agents depend on reliable business data. Inaccurate customer, vendor, item, inventory, or financial data can affect the quality of automated processing.

Process Standardization

Automating an unclear or constantly changing process with an agent can make the process more complicated rather than simpler.

Exception Handling

Not every business situation can be handled automatically. Processes should clearly define when an agent needs to stop and request human assistance.

Permissions

Agents should only have access to the information and actions required for their assigned tasks.

User Adoption

Employees need to understand what an agent does, when it can take action, and when they are expected to review or approve its work.

Cost and Usage

Businesses should evaluate expected usage and operating costs before deploying agents at scale, as some AI capabilities may involve consumption-based costs.

 

A Practical Approach to Adopting Agentic ERP

 

Step 1: Select Appropriate Processes

Choose high-volume, repetitive processes with measurable outcomes.

Step 2: Review Existing Business Central Processes

Understand the current processes for approvals, integrations, customizations, and exception handling.

Step 3: Organize and Clean Business Data

Review customers, suppliers, items, pricing, inventory, financial information, and other relevant data.

Step 4: Define the Agent's Responsibilities

Clearly specify what the agent can read, what actions it can perform, and when it should request human assistance.

Step 5: Define Approval Points

Determine which tasks require human validation and which can be automated.

Step 6: Test Before Scaling

Start with a controlled process and monitor accuracy, results, employee feedback, and exceptions.

Step 7: Measure Business Impact

Track metrics such as processing time, manual effort, throughput, exception rates, and employee productivity.

Step 8: Scale Gradually

If the initial process performs consistently, consider extending agentic automation to other suitable workflows.

 

The Future of AI-Powered Business Central

Business Central is moving toward an ERP model where AI can do more than generate summaries and answer questions. Autonomous agents, personalized agent experiences, enhanced MCP capabilities, agent job management, and other AI-driven features are part of Microsoft's current direction.

This suggests that ERP systems may become increasingly proactive. Instead of waiting for employees to identify and perform every routine task, technology can increasingly recognize specific business conditions and take appropriate action. At Attaya, we help businesses explore Microsoft Dynamics 365 solutions and understand how emerging AI capabilities can support smarter operations, streamline workflows, and improve decision-making. As Business Central continues to evolve, businesses can look for opportunities to adopt AI-driven features that align with their operational needs and long-term goals.

 

Is Agentic ERP Suitable for Every Business?

AI agents are not necessarily the best solution for every process.

They can be especially useful for businesses with:

• High volumes of repetitive transactions

• Well-defined business processes

• Reliable ERP data

• Regular manual data entry

• Document-heavy workflows

• Clearly defined approval requirements

• A measurable opportunity to improve productivity

 

Businesses with highly unpredictable processes or poor data quality may need to improve their underlying processes before implementing agentic automation.

The best approach is to identify specific business problems first and then determine whether an AI agent is the right solution.

 

Why Work with a Business Central Partner?

Implementing AI agents is more than a technology decision. It also requires an understanding of ERP processes, security, integrations, customizations, data, and user requirements. A Business Central partner can help organizations assess existing processes, identify suitable automation opportunities, configure AI capabilities, manage integrations, and establish appropriate governance.

 

This can also help businesses that already use Business Central ensure that new AI capabilities work alongside existing processes and customizations instead of creating disconnected automation. Attaya provides consulting, implementation, customization, integration, upgrades, training, and ongoing support to help businesses get the most from Microsoft Dynamics 365 Business Central. Our approach focuses on understanding the business process first and then selecting the right technology to improve it.

 

Conclusion

AI agents are changing the role of ERP systems from platforms that primarily record business activities into systems that can increasingly participate in business processes. With capabilities such as the Sales Order Agent, Payables Agent, personalized agent experiences, and MCP-based connectivity, Business Central is creating new opportunities for businesses to automate repetitive tasks while keeping people involved in important decisions.

For businesses, the opportunity is about more than simply "adding AI." The real value comes from selecting the right processes, maintaining reliable data, establishing appropriate controls, and applying automation where it can deliver measurable improvements. At Attaya, we help businesses explore Microsoft Dynamics 365 solutions and identify opportunities to improve operational efficiency through modern ERP capabilities. By taking a strategic approach to agentic ERP, businesses can use AI to accelerate processes, reduce repetitive work, and give employees more time to focus on tasks that require judgment, experience, and business expertise.