There’s a noticeable shift happening in how business leaders talk about AI. The conversation is moving from curiosity to expectation and, in some cases, pressure. Microsoft Copilot in Business Central is part of that shift, especially for organizations running Business Central and looking for practical ways to get more value from their ERP.
But adopting Copilot isn’t a single decision or a switch you flip. It’s the outcome of a series of choices about data discipline, process design, and how your systems work together.
When those pieces are in place, Copilot can help teams move faster and make better-informed decisions. When they aren’t, the results tend to disappoint.
This post is the first in a short blog series that looks at Copilot through a practical lens: What it can help with today, what needs to be in place first, and how organizations can approach AI in Business Central with clear expectations.
What can Copilot do in Business Central?
At its core, Copilot is designed to help users interact with their ERP more efficiently. It can assist with explaining data, summarizing information, and guiding users through tasks using natural language.
Instead of digging through menus or exporting data to answer a question, users can ask Copilot for context or clarification directly within Business Central.
What’s important to understand is what Copilot is… and isn’t.
Copilot doesn’t replace financial controls, override business logic, or make decisions on your behalf. It works within the structure of your existing data, permissions, and workflows, meaning the quality of its output is directly tied to the quality of the environment it’s operating in.
Microsoft’s own documentation makes this clear: Copilot is meant to support users by surfacing insights and explanations, not by automating judgment or bypassing governance.
That distinction matters, especially for finance and IT leaders who care about accuracy, accountability, and risk management.
How does Copilot change how teams work in Business Central?
When the foundation is solid, Copilot changes how teams interact with information. Instead of spending time hunting for answers, users can focus on interpreting results and making decisions:
- Finance teams can get faster explanations of variances.
- Operations leaders can explore trends without waiting on reports.
- IT teams can reduce ad-hoc data requests because users are more self-sufficient.
But that shift only happens when processes are consistent, and data is trustworthy. If teams are working around gaps, reconciling conflicting numbers, or relying on offline spreadsheets, Copilot doesn’t remove that friction — it exposes it.
AI tends to amplify whatever is already happening in your system, good or bad.
This is where many organizations struggle. They expect Copilot to compensate for years of workaround-driven processes. In reality, Copilot rewards organizations that have already invested in clarity and consistency.
What should companies consider before enabling Copilot in Business Central?
This is the most important question. And it’s the one that often gets skipped.
Before enabling Copilot in Business Central, organizations should take an honest look at three areas:
Data discipline
Are your core records complete, consistent, and governed? Copilot relies on existing.
Are workflows standardized, or does every team operate differently? Copilot works best when processes are repeatable and well-defined.
System connectivity
Is Business Central operating as part of a connected Microsoft platform, or as a standalone system? Integration across Microsoft 365 plays a significant role in how much context Copilot can access and use effectively.
This is why Copilot readiness is less about features and more about foundations.
According to McKinsey’s research on AI adoption, organizations that see real value from AI focus first on operating models, data, and governance, not tools alone.
Is Copilot in Business Central secure for enterprise use?
Security is often one of the first concerns I hear, especially from organizations coming from on-premises GP or NAV environments. Here’s what you need to know:
Copilot operates within Microsoft’s existing security and compliance framework. It respects role-based access, data permissions, and tenant boundaries. In other words, Copilot can only surface information that a user already has access to. It doesn’t introduce a separate data store or bypass established controls.
That said, security isn’t just a technology question; it’s an operational one. If access controls are inconsistent or data governance hasn’t been enforced, Copilot will reflect those realities. This is another reason readiness matters. AI doesn’t create new risk, but it can make existing risk more visible.
Why Copilot in Business Central depends on platform integration
One of the biggest readiness signals I look for is whether Business Central is operating as part of a broader, connected Microsoft platform.
When Business Central is integrated with Microsoft 365, organizations benefit from shared context across tools. Data is easier to surface, collaboration is more natural, and insights travel with the work.
That connectivity directly influences how useful Copilot can be.
I wrote about this in more detail in my post Business Central Microsoft 365 integration for scaling, where I explore how connected systems support better decision-making and reduce operational friction. Copilot in Business Central builds on that same foundation. Without it, AI remains isolated, and its value is limited.
Who benefits most from Copilot in Business Central?
Organizations that benefit most from Copilot tend to share a few traits:
- They’ve already modernized off heavily customized or siloed systems
- Their teams trust the data they’re working with
- Processes are documented and consistently followed
- Business Central is treated as a strategic platform, not just an accounting system
For these organizations, Copilot in Business Central becomes a force multiplier. It doesn’t replace expertise, but it reduces friction and accelerates insight.
Setting expectations before you scale
This post sets the foundation for the rest of this series. In the next two posts, I’ll dig deeper into what readiness really looks like and how organizations can move from AI curiosity to practical, measurable outcomes in Business Central.
If you’re exploring Copilot or thinking about how AI fits into your Business Central roadmap, this session will help you connect readiness to real-world results.
Copilot can be powerful, but only when it’s built on the right foundation. Readiness is where the real work begins.
About the Author
Adam Drewes is the Chief Technology Officer at Kopis, where he helps companies make smarter software decisions that align with their business goals, whether that means deploying proven tools or building custom solutions that protect their competitive edge.
With more than two decades in the software services space, Adam brings a rare mix of technical depth and business insight to every conversation. He’s endlessly curious about how companies operate, what drives their success, and how the right technology choices can accelerate their growth.
