AI is no longer just helping Microsoft Dynamics 365 Business Central users analyze information after the fact. It’s showing up inside everyday workflows – surfacing issues, recommending actions, and, in some cases, taking action directly.
What started just a few years ago as a tool to streamline basic tasks like writing email drafts, summarizing reports, or generating product descriptions is now supporting analytics, automation, and cross-functional workflows.
It’s an important distinction that seems to be resonating with the market. Microsoft announced that Business Central has now surpassed 55,000 cloud customers (22% year-over-year growth), suggesting that organizations are adopting Business Central less as just accounting software and more as a connected, AI-infused ERP.
How Copilot and AI Fit Into Business Central Workflows
You’re likely using Copilot in Business Central – even if you don’t think of it that way. Some Copilot agents are already built into Business Central today and can assist with everyday tasks, often working in the background or appearing as suggestions during normal workflows.
You’ll see them in three places:
- On the page: Suggestions appear while you’re working
- In Copilot: You can ask for help or generate content
- In the background: Matches, insights, and recommendations are prepared for you to review
Where Copilot Is Showing Up in Business Central:
| Capability | Key actions | Example |
| Create and draft Create content from business data | Draft product descriptionsSuggest email replies and summariesSet up records and fields | Copilot creates a product description from item attributes. |
| Ask and find Use plain language to find information | Find customers, items, and related recordsNavigate by plain language | A user types “open invoices for customer ABC” and gets the right records. |
| Summarize and explain Understand data faster | Summarize customer and transaction activityExplain fields and processesAdd decision context | A user gets a summary of recent orders, payments, and issues. |
| Analyze and understand Turn data into usable insight | Highlight trends and anomaliesStructure data for analysisReduce data exports | A finance user spots unusual variances without exporting data. |
| Match and reconcile Reduce manual review | Suggest reconciliation matchesCompare statements and ledger entriesFlag exceptions | A user reviews suggested matches and resolves discrepancies. |
| Work across Microsoft 365 Keep work connected | Work with Business Central data in Microsoft 365 appsCollaborate without switching systemsTie communication to transactions | A user updates Business Central data from Outlook while replying. |
Business Central AI Use Cases by Team
Finance teams are using AI to reduce manual reconciliation work, simplify invoice review processes, identify anomalies earlier, and prioritize collections activity. Surfaced exceptions help teams focus on transactions that actually require review instead of manually inspecting every line item.
Inventory and supply chain teams are seeing value through improved replenishment recommendations, earlier visibility into unusual demand patterns, and better awareness of supplier or fulfillment disruptions. Instead of reacting after inventory issues escalate, teams can identify operational concerns sooner and make decisions with more context around purchasing and availability.
Customer-facing teams are also benefiting from AI-driven summaries and contextual information. Sales and service users often spend significant time searching across systems for invoices, shipments, prior interactions, payment details, and operational updates before responding to customers. AI helps surface much of that information automatically, reducing delays.
The pattern is consistent: work starts with context instead of investigation, exceptions are surfaced earlier, recommendations are prepared in advance, and users spend less time searching for information. AI does not replace the work happening inside Business Central. It reduces friction around the work already being done.
For a more detailed look, check out JourneyTeam’s SMB Guide to AI in Microsoft Dynamics 365 Business Central. It explores how AI, Copilot, and operational agents are beginning to change how work gets done across finance, operations, inventory, and customer workflows. It also covers practical use cases, operational readiness considerations, and realistic starting points for SMB and mid-market organizations evaluating AI inside ERP environments.
Why Process and Data Maturity Matters for Business Central AI
An ERP system can’t become operationally intelligent if the foundation underneath isn’t solid. Organizations with disconnected systems, fragmented reporting structures, inconsistent processes, or unreliable data will struggle to get meaningful value from advanced AI capabilities.
The quality of implementation, governance, integrations, process design, and data are more important as AI capabilities become part of everyday work. In many cases, AI exposes operational inconsistency faster than traditional software ever did.
It’s the biggest reason many organizations are focusing first on improving process consistency, operational visibility, and data quality before attempting larger AI initiatives.
How JourneyTeam Helps Organizations Apply AI in Business Central
One of the biggest misconceptions surrounding AI is that value appears through one massive transformation project. The organizations seeing the most success with AI inside Business Central are usually not trying to automate everything at once. They are identifying where work slows down, and where manual investigation creates friction.
Good starting points often include:
- Bank reconciliation
- Collections follow-up
- AP invoice review
- Inventory replenishment
- Customer response workflows
If you’re looking for the right place to start, JourneyTeam’s Copilot + Power Platform FastStart can help you launch the right proof of concept. You’ll be able to see what works and understand the business value of what’s possible.
JourneyTeam’s Approach to AI in Business Central
At JourneyTeam, we have taken what Microsoft often refers to as a “Customer Zero” approach by testing and validating many of these AI and Copilot capabilities internally before deploying them in customer environments.
That process helps us understand where AI creates measurable operational value, where friction still exists, and what it actually takes to apply these capabilities inside real business processes. Our focus is not on theoretical AI scenarios, but on practical operational improvements tied to finance, reporting, inventory management, customer service, and workflow coordination.
That approach has helped us see:
- Where AI adds real value
- Where it creates friction
- What it takes to make it work in practice
Not Sure Where to Begin?
If you’re not sure which AI use case makes sense for your organization, start by looking at where teams are spending too much time reviewing, searching, matching, or following up. The best starting point is usually not the most advanced use case. It’s the one that removes friction from work your team is already doing every day.
We can help with a structured assessment to clarify priorities. JourneyTeam’s Business Central Use Case Development program can identify where AI and automation will deliver the most value across your finance, operations, and supply chain processes.
Contact Us Today
The future of ERP is intelligent. The future of Business Central is now.
AI in Business Central FAQs
Copilot in Microsoft Dynamics 365 Business Central can draft product descriptions, suggest email replies and summaries, help users find records, summarize activity, surface anomalies, and support reconciliation workflows. It helps teams spend less time searching, reviewing, and preparing information.
AI in Business Central is helping reduce manual work across finance, operations, inventory, and customer-facing processes. It improves how people work inside ERP workflows rather than replacing them.
Finance teams often see early value through reconciliation support, exception handling, invoice review, and collections follow-up. Inventory, operations, sales, and service teams also benefit from faster access to key information.
Start with a workflow where teams spend too much time reviewing, searching, matching, or following up manually. The best first use case is the one that removes friction from everyday work.
Yes. AI in Business Central works best when data, reporting, integrations, and processes are consistent and reliable. It can expose issues faster, but it does not fix the operational foundation on its own.
