Agentic AI in ERP: What Business Leaders Should Know

What if the biggest bottleneck in your ERP system isn't the software, but the fact that everyone is waiting for someone else to do the next thing?

If you've ever wondered why a process suddenly stopped moving, there's a good chance the answer was, "because nobody realized it was their turn."

Imagine a warehouse supervisor receives an alert that inventory levels are running low on a critical component.

Normally, that alert would trigger a familiar chain of events. Someone checks inventory.

Someone reviews upcoming orders. Someone contacts a supplier. Someone follows up.

And someone inevitably asks why nobody noticed the issue sooner.

Now imagine software helping coordinate those steps automatically: gathering information, identifying options, and preparing recommended actions before anyone starts digging through reports.

That possibility is driving growing interest in Agentic AI in ERP.

While much of the recent attention around AI has focused on chatbots, content generation, and virtual assistants, the next evolution may involve systems that can reason through problems, coordinate activities, and help move business processes forward.

For organizations running ERP platforms like Microsoft Dynamics 365 Business Central, this shift could eventually influence everything from operations and inventory management to finance, customer service, and supply chain planning.

This article is the first installment in a three-part series exploring what Agentic AI in ERP means, why ERP systems may be one of its most valuable applications, and how organizations can begin preparing for what's ahead.

Why Agentic AI in ERP is generating so much attention

Most business leaders are already familiar with automation.

When a workflow automatically routes an approval request, sends a notification, or updates a status field, that's automation. The rules are defined in advance, and the system follows those instructions.

More recently, organizations have become familiar with AI assistants and copilots that help summarize information, answer questions, or generate content.

Agentic AI in ERP represents another step forward. Rather than simply responding to requests, agentic systems are designed to evaluate context, identify potential actions, and help move work toward a desired outcome.

That's why conversations around Agentic AI in ERP are gaining momentum from shop floors to boardrooms.

Microsoft's recent discussion of "the open agentic web" shows how quickly the conversation is evolving beyond AI assistants and toward systems that can coordinate activities across applications and workflows.

At the same time, businesses are taking more interest in how emerging technologies can help employees spend less time searching for information and more time making decisions.

That's where agentic agents begin to enter the conversation.

What is agentic AI and how is it different from traditional ERP automation?

Traditional ERP automation follows predefined rules, while agentic AI can evaluate context, recommend actions, and help move work forward based on business conditions.

Think of traditional automation as a train running on a fixed track. Agentic AI is closer to a skilled coordinator that can review information, recognize exceptions, identify options, and help determine what should happen next.

Let’s look at an example: A traditional workflow might automatically send an approval request when a purchase order exceeds a certain threshold.

A future agentic workflow could identify the exception, gather supporting information, determine who should review it, and prepare recommended next steps before the approver even opens the request.

This distinction is important because businesses don't struggle with routine work nearly as much as they struggle with exceptions, delays, and decisions that require context.

If you're evaluating ERP automation vs agentic AI, the simplest way to think about it is this: automation executes instructions, while agentic systems help move work forward when business conditions become more complex.

As Microsoft's AI strategy continues to evolve, many future business applications are expected to combine traditional automation, copilots, and agentic agents rather than relying on only one approach.

Why are ERP systems a good fit for agentic AI?

ERP systems are a strong fit for agentic AI because they contain the operational and financial data agents need to understand business context.

An AI agent is only as useful as the information available to it.

That's where ERP systems become especially valuable.

Systems like Business Central contain information about customers, vendors, inventory, purchasing, finance, projects, service operations, approvals, and business processes. In many organizations, the ERP system serves as the operational backbone that connects multiple departments.

With access to ERP data, an agent may be able to identify patterns, surface risks, and help coordinate activities across the organization.

Say you’ve noticed that inventory levels are starting to trend lower than expected while customer demand is increasing.

An agentic system could potentially identify the trend, gather relevant information, and present recommended actions for review. The system isn't making business decisions independently. It's helping employees reach informed decisions faster.

For organizations evaluating the future of AI in Business Central, understanding why ERP systems provide such rich business context is an important first step.

That's one reason so many industry observers view Agentic AI in ERP as a natural progression of business software.

The opportunities agentic AI could create

Although the technology continues to evolve, the potential opportunities are already becoming clear.

Organizations exploring Agentic AI in ERP are often interested in four potential outcomes.

1.     Faster operational decision-making

Employees spend significant time gathering information before they can make decisions. Agentic systems may help assemble relevant context more quickly.

2.     Reduced manual follow-up

Many business processes depend on reminders, status checks, and repeated follow-up. Agentic workflows could help reduce some of that administrative effort.

3.     More proactive issue detection

Future agentic systems may help identify exceptions, risks, or delays earlier in the process.

4.     Better coordination across teams

Agentic workflows may help improve visibility and coordination across operations, finance, sales, procurement, and service teams.

These opportunities aren’t about removing people from the process. They're about helping people spend less time playing detective and more time making decisions.

The requirements organizations cannot ignore

Every exciting conversation about AI eventually comes up against the same question:

Is the business ready?

The effectiveness of Agentic AI in ERP depends heavily on the quality of the environment supporting it.

Poor data produces poor recommendations.

Confusing processes create confusing outcomes.

Weak security controls introduce unnecessary risk.

Organizations should focus on:

• Data quality and governance

• Clearly defined business processes

• Appropriate permissions and security controls

• Human review and oversight

• Organizational accountability

This is not glamorous work.

In fact, it's a little like prepping a house for renovation. Would you add a second story before inspecting the foundation? I hope not. The exciting part is picking out the new kitchen. The expensive part is discovering the floor wasn't level to begin with.

The same principle applies to AI readiness.

According to McKinsey's State of AI research, organizations generating the greatest value from AI are increasingly treating it as a business transformation effort rather than a standalone technology project.

Should small and midsize businesses start preparing for agentic AI now?

You don't need to implement agentic AI tomorrow morning. But now is a good time to start getting your data, processes, and governance in order.

One of the biggest misconceptions surrounding AI is that every business needs to move immediately or risk being left behind.

Everyone wants to talk about moving fast. Readiness matters more than speed.

Most small and midsize businesses don’t need fully autonomous workflows tomorrow.

But they do need a clear understanding of their processes, data, and decision-making workflows.

This is especially true for organizations exploring future uses of AI in Business Central. Businesses with clean data, well-documented processes, and strong governance will be better positioned to adopt emerging capabilities.

The companies that will benefit most from Agentic AI in ERP are likely the ones building strong operational foundations today.

Looking ahead

Agentic AI in ERP is still emerging, but organizations are moving beyond systems that simply store information and toward systems that can help coordinate work, surface insights, and support decision-making.

For ERP users, that creates exciting opportunities, but also new responsibilities around governance, security, and process design.

The reality is that most businesses don't struggle because people aren't working hard enough. They struggle because information, approvals, and decisions don't always move as quickly as the business does.

That's what makes the conversation around agentic agents so interesting.

Next up in the series:

• Part 2: How Agentic Agents Could Change ERP Workflows

• Part 3: What Businesses Need to Do to Prepare Their ERP Environments for Agentic AI

The foundation for success starts long before any new technology is deployed.

If you're thinking about AI readiness, process improvement, or how emerging capabilities could fit into your ERP strategy, Key Partner Solutions can help.

Feel free to reach out. I'd be happy to continue the conversation.

About Matt Keyes

Matt Keyes is a visionary leader, founder, and CTO of Key Partner Solutions. With over two decades of experience in Microsoft Dynamics, he is passionate about driving digital transformation for businesses through innovative technology solutions.

His deep technical expertise, combined with a strategic approach to solving business challenges, makes him a sought-after thought leader in the industry.

Today, Matt is focused on empowering companies to unlock new levels of growth and efficiency through cutting-edge software development and consulting.

Connect with Matt on LinkedIn.