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

A mid-sized manufacturer is heading into its busiest quarter. Finance is trying to forecast cash flow before month-end close, the warehouse lead cannot tell if stock will cover next week's orders, and sales reps are digging through inboxes to confirm quantities before quoting a customer back. One missed email and the whole sequence slips.

Now picture the same week with AI agents running in the background inside Microsoft Dynamics 365 Business Central. A Sales Order Agent reads the customer's email, checks live inventory, and drafts a quote for review before the rep even opens their inbox. A Payables Agent pulls a vendor invoice from a PDF attachment, matches it to the purchase order, and prepares a draft entry for approval. Nobody retyped a single line.

This is no longer a preview feature. With Microsoft's 2026 release wave 1 (Update 28.0, generally available since April 1, 2026), the Payables Agent and Sales Order Agent are now generally available inside Business Central, and a design experience for building custom agents is in public preview. Microsoft has been direct about the shift: Business Central is moving toward "autonomous, insight-driven operations," and agentic ERP is now part of the roadmap, not a future promise.

This guide breaks down what AI agents actually are, how they differ from Copilot, what the two generally available agents do today, what it costs to run them, and how to plan a rollout that your finance and operations teams will actually trust.

What Is an AI Agent in Business Central?

An AI agent in Business Central is a software role that operates inside a defined business process, using AI to read incoming information, take structured action, and hand off to a human for review at the right checkpoint. Unlike a workflow rule or a Power Automate flow, an agent interprets unstructured input, such as an email or a PDF invoice, and decides what to do with it based on context.

Agents run inside Business Central itself, using the same security model, permission sets, and audit trail as any other user. That is a deliberate design choice: an agent is treated conceptually like a named user with a defined job, not a background script with unrestricted access. Every action it proposes is visible, reviewable, and tied to a record of what it changed and why.

This distinguishes agents from earlier forms of ERP automation. A traditional workflow fires when a condition is met. An agent interprets a request, applies judgment based on your business data, and produces a draft outcome for a person to approve.

AI Agents vs. Copilot: What Is the Difference?

Copilot is a conversational assistant you prompt for help; an AI agent is an autonomous worker that monitors a process and acts on its own, generating drafts for your review. Copilot waits for you to ask; an agent watches for a trigger, such as an incoming email, and gets to work without being asked.

Both run on the same underlying AI investment Microsoft has made in Business Central, but they solve different problems.

A simple way to frame it for your team: Copilot is the assistant sitting next to your employee. An agent is the employee working a defined shift on its own, with a manager reviewing the output before it goes live.

The Two Generally Available Agents: Sales Order Agent and Payables Agent

As of Business Central's 2026 release wave 1, two built-in agents, the Sales Order Agent and the Payables Agent, are generally available, meaning they are production-ready and not gated behind a preview flag. A third capability, the Agent Designer for building custom agents, remains in public preview.

Sales Order Agent

The Sales Order Agent monitors a shared sales mailbox for customer requests. When an email arrives asking for a quote or placing a repeat order, the agent:

• Identifies the customer or contact record in Business Central
• Reads the request and matches items against current pricing and inventory
• Builds a draft quote or sales order using live data
• Converts a quote to an order once the customer confirms, without a rep re-entering anything

The rep still reviews and sends the quote; the agent removes the manual assembly work in between.

Payables Agent

The Payables Agent watches a designated accounts payable mailbox for incoming vendor invoices, typically PDF attachments. It:

• Extracts vendor, line item, quantity, and total details from the invoice
• Matches the invoice against the corresponding purchase order and receipt
• Proposes a posting account when there is no PO match, and flags exceptions for a human to route
• Creates a draft purchase invoice for your AP team to approve, never posting on its own

Neither agent bypasses approval. Both are built to reduce the manual assembly and matching work that eats up a finance or sales team's day, while leaving the final decision with a person.

How Do AI Agents in Business Central Actually Work?

An AI agent works through three steps: it watches for a signal (an email, a data change, a scheduled trigger), interprets that signal against your business context and historical data, and produces a structured draft action that a person reviews before anything is finalized. The agent never posts, sends, or commits data changes without the approval step you've configured.

This is governed centrally through the Agent Hub, which is where an administrator can:

• Activate, pause, or deactivate any agent
• Set the scope of what data and functions an agent can access
• Monitor what an agent has done, and review pending approvals
• Give an agent general instructions in natural language describing how to handle a task

Because agents run under the same security and permission model as a Business Central user, IT teams do not need a separate governance layer. Everything an agent does is auditable in the same way a user's actions are.

Setting up this scope correctly the first time matters more than most teams expect. Our Dynamics 365 implementation services team typically handles this alongside the initial Business Central setup or upgrade, so agent permissions are configured correctly from day one.

What Do AI Agents Cost? Understanding Copilot Credits

AI agents in Business Central consume Copilot Credits, a usage-based unit that is billed either through a prepaid allocation or a pay-as-you-go model, and businesses should plan for this as a variable cost tied to agent volume rather than a flat licensing fee. Every interaction an agent performs, reading an email, matching a line, drafting a document, consumes credits, so cost scales with how much volume you run through the agent, not a fixed per-user fee.

Before activating either agent, set up a billing model for your Business Central environment. For most SMBs, this is a budgeting conversation as much as a technical one: a business processing a higher weekly volume of vendor invoices will consume more credits than one processing only a handful, and it's worth estimating agent volume before rollout rather than after the first invoice. Our ERP implementation cost calculator can help you factor Copilot Credit consumption into your overall Business Central budget alongside licensing and implementation costs.

Both AI agents are available only to Business Central online customers; there is no on-premises equivalent as of this release.

How AI Agents Transform Finance, Sales, Supply Chain, and Reporting?

AI agents change day-to-day work across four core areas of Business Central by removing the manual assembly step between "information arrives" and "record is ready for review." Here is where the impact shows up first.

Finance and Accounting

• The Payables Agent matches vendor invoices to purchase orders automatically
• Cash flow forecasting uses AI to project near-term cash position from historical transaction data
• Late payment prediction flags which customers are statistically likely to pay late, ahead of time

Sales and Customer Service

• The Sales Order Agent turns a customer email into a draft quote or order
• Copilot surfaces cross-sell and upsell suggestions based on buying history during quote creation
• Customer-facing teams get faster turnaround on routine, repeat orders without adding headcount, especially when paired with Power Automate flows for downstream approvals

Supply Chain and Inventory

• Demand forecasting models predict near-term demand from seasonality and historical sales
• Reorder point recommendations reduce both stockouts and excess inventory
• Vendor performance data becomes easier to track when invoice and delivery matching is automated

Reporting and Decision-Making

• Natural language queries let a manager ask "what were our top-selling items last quarter" and get an answer without building a report
• Copilot in Excel and Power BI extends the same AI layer into the tools your team already lives in

An Illustrative Scenario: A Mid-Market Distributor During Peak Season

Here is a hypothetical, illustrative example of how this plays out, not a documented case study. Picture a wholesale distributor that receives a steady stream of reorder emails from regular customers during peak season. Before agents, a sales coordinator manually reads each email, checks stock, and builds a quote by hand, work that adds up fast once volume climbs.

With the Sales Order Agent active, the coordinator's role shifts to reviewing and approving drafts the agent has already assembled, rather than building each quote from scratch. The same distributor's AP team, receiving a comparable volume of vendor invoices, sees a similar shift in workload once the Payables Agent is scoped to their primary vendor mailbox.

Neither agent replaces the coordinator or the AP clerk. Both change the job from data entry to review and exception handling, which is a meaningfully different, higher-value use of the same headcount. Actual time savings will vary by business based on order complexity, data quality, and how narrowly the agent is scoped, so treat this as a directional example rather than a guaranteed outcome.

Talk to our Business Central team to walk through what this could look like for your own order and invoice volume.

Benefits of AI Agents in Business Central

• Less manual entry: Agents absorb the repetitive parts of order intake and invoice processing
• Faster turnaround: Draft documents are ready in minutes instead of sitting in a queue
• Fewer errors: Automated matching reduces the manual keying mistakes that cause reconciliation headaches later
• Built-in oversight: Every agent action requires review before it becomes final, so control never leaves the business
• Native integration: Agents work inside the Microsoft ecosystem you already use, including Outlook, Teams, Excel, and Power Platform
• Scales without a rebuild: Adding volume does not require re-architecting your setup, only adjusting scope and credit budget

Common Challenges When Implementing AI Agents (and How to Handle Them)

Most implementation problems with AI agents come down to five areas: data quality, integration with existing customizations, user trust, cost predictability, and ongoing oversight. None of these are reasons to avoid agents; they are reasons to plan the rollout deliberately, ideally with a Dynamics 365 consulting partner who has done this before.

If you're still weighing where AI fits into your broader Business Central setup, our overview of AI in Dynamics 365 Business Central covers Copilot and the wider AI feature set beyond just agents.

How to Roll Out AI Agents in Business Central: A Practical Starting Path

The fastest way to get value from AI agents is to start with one process, one mailbox, and a small volume of transactions before expanding scope. Here is a rollout sequence that works for most mid-market teams:

1. Pick one process to start: Vendor invoice processing or repeat sales orders are the two highest-volume, lowest-risk starting points
2. Clean the underlying data: Standardize vendor and item records the agent will be matching against
3. Set a conservative Copilot Credit budget: Estimate based on current email or invoice volume, then monitor actual usage
4. Scope the agent narrowly: Point it at a single mailbox or vendor group rather than your entire inbox on day one
5. Review drafts daily for the first two weeks: Build trust by watching what the agent proposes before expanding its scope
6. Expand gradually: Add mailboxes, vendors, or a second agent only once the first is running with minimal exceptions

If your team would rather not sequence this alone, our Dynamics 365 support services can manage the pilot, monitor exceptions, and handle the Agent Hub setup on your behalf.

AI Agents vs. Traditional Automation: Why This Is Different

A workflow rule fires when a condition matches; an AI agent interprets unstructured input, applies context from your business data, and produces a judgment-based draft, which is a meaningfully different capability than the "if this, then that" automation ERP systems have offered for years.

The practical difference shows up in what each can handle. A Power Automate flow can move a record from status A to status B when a field changes. It cannot read a customer's free-text email, recognize which items they mean by an abbreviated product name, check live stock, and assemble a priced quote. That interpretive step is what makes an agent different from a workflow, and it's also why agents need a review step that a simple automation rule typically does not.

Why Choose Dynamics Square for Your Business Central AI Implementation?

Rolling out AI agents well takes more than flipping a switch in the Agent Hub. It takes clean master data, a realistic credit budget, scoped access, and a team that trusts what the agent hands them. That is where an experienced implementation partner earns its place.

Dynamics Square has spent 15+ years helping businesses across the USA implement, upgrade, and support Microsoft Dynamics 365, including Business Central. Our certified consultants have worked across manufacturing, distribution, professional services, and retail, which means we've already seen the data cleanup and rollout sequencing questions your team is about to run into.

Here's what working with us looks like:

• Certified Microsoft Dynamics consultants with deep, hands-on Business Central experience
• End-to-end services: implementation, upgrades, customization, integration, and ongoing support
• A rollout approach built around starting small, proving value, and scaling deliberately, not a one-size-fits-all activation
• A strong customer success focus backed by a track record across industries
• Local presence across the USA, with additional support across the UK, Canada, and other regions

Get in touch with our Business Central AI specialists:

• California: +1 213 784 0845
• Texas: +1 281 899 0865
• Illinois: +1 312 488 1043
• New Jersey: +1 732 893 0520
• Massachusetts: +1 617 765 7669

Schedule a free consultation with Dynamics Square USA and let's map out a rollout plan for AI agents that fits how your team actually works.