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Business Central AI

AI and Copilot in Microsoft Dynamics 365 Business Central

A practical guide to Business Central AI and Copilot capabilities across finance, sales, purchasing, inventory, reporting, and user productivity.

LeXurey Dev Team2026-05-0511 min read

AI and Copilot in Microsoft Dynamics 365 Business Central

Helping growing businesses reduce manual work, improve accuracy, and make faster decisions.

Executive Summary

Microsoft Dynamics 365 Business Central includes embedded AI, Copilot, and agent capabilities that assist users directly inside ERP workflows such as finance, sales, purchasing, inventory, reporting, and customer communication.

Unlike standalone AI tools, Business Central AI is designed to work where business transactions and decisions already happen: customer records, items, sales orders, purchase invoices, bank transactions, and financial data.

These capabilities assist users with suggestions, summaries, automation, and natural-language interaction. They do not replace human review, approval, financial control, or implementation design.

Audience: Business owners, finance managers, operations managers, sales managers, and organisations evaluating Business Central or considering a migration from older NAV or Navision systems.

Purpose: To explain practical AI use cases in Business Central, the business problems they address, and where to find Microsoft reference material.

Capability Overview

Business area
Daily navigation
Common problem
Users cannot find pages, reports, or actions
Business Central AI capability
Advanced Tell Me; Copilot Chat
Expected value
Faster onboarding and less support dependency
Business area
User assistance
Common problem
Users ask how to complete common tasks
Business Central AI capability
Copilot Chat
Expected value
In-system guidance and productivity support
Business area
Reporting
Common problem
Users export to Excel to analyse data
Business Central AI capability
Analysis Assist
Expected value
Natural-language analysis inside Business Central
Business area
Record review
Common problem
Users need quick business context
Business Central AI capability
Summarise Records
Expected value
Faster customer, item, and document review
Business area
Master data
Common problem
Blank fields and inconsistent setup
Business Central AI capability
Autofill with Copilot
Expected value
Faster data entry and improved completeness
Business area
Ecommerce
Common problem
Product descriptions take time
Business Central AI capability
Marketing Text Suggestions
Expected value
Faster product content for web and Shopify scenarios
Business area
Sales entry
Common problem
Customer requests are vague or incomplete
Business Central AI capability
Sales Line Suggestions
Expected value
Faster sales quote/order creation
Business area
Sales automation
Common problem
Email order requests require manual handling
Business Central AI capability
Sales Order Agent
Expected value
More efficient quote/order capture workflow
Business area
Finance
Common problem
Bank reconciliation is manual
Business Central AI capability
Bank Reconciliation Assist
Expected value
Faster month-end processing
Business area
Accounts payable
Common problem
Vendor invoices require manual entry
Business Central AI capability
Payables Agent
Expected value
AP automation with human review
Business area
Purchasing
Common problem
Supplier invoices do not match POs cleanly
Business Central AI capability
E-document PO matching
Expected value
Faster invoice-to-PO matching
Business area
Inventory
Common problem
Out-of-stock alternatives are hard to find
Business Central AI capability
Substitute Item Suggestions
Expected value
Reduced lost sales and faster fulfilment
Business area
Implementation
Common problem
Number series setup is repetitive
Business Central AI capability
Suggest Number Series
Expected value
Faster company setup
Business area
Finance planning
Common problem
Cash flow visibility is limited
Business Central AI capability
AI-supported cash flow forecasting
Expected value
Better liquidity planning

Why AI in Business Central Matters

Many businesses already experiment with standalone AI tools. However, standalone tools are usually disconnected from ERP data, approval controls, master data, inventory records, customer balances, and posting processes.

Business Central AI is different because assistance is embedded into the system where users manage customers, vendors, items, sales orders, purchase orders, invoices, bank transactions, inventory, financial data, and reports.

The practical benefit is not simply having AI. The value comes from reducing manual work, improving user productivity, speeding up operational workflows, and helping users make better use of existing ERP data.

Key AI Capabilities Available in Business Central

1. Copilot Chat: Ask Questions and Find Information Faster

Business challenge: Users often spend time searching for records, navigating menus, or asking colleagues how to complete tasks in Business Central. This is especially common during onboarding, migration from older NAV or Navision environments, or for occasional system users.

How Business Central helps: Copilot Chat allows users to ask questions in natural language inside Business Central. Users can ask for guidance, search for records, and understand how to complete common tasks.

Business value: This can reduce training time, improve user confidence, and reduce internal support questions.

Important note: Microsoft marks Chat with Copilot as production-ready preview, so clients should review availability and preview terms.

2. Smarter System Search With Advanced Tell Me

Business challenge: Users may know what they want to do but not know the exact page, report, or action name. Traditional keyword search can fail when users use different wording.

How Business Central helps: Advanced Tell Me uses semantic search to help users find pages, reports, and actions even when they do not use the exact Business Central terminology.

Business value: This improves usability and helps users find functions more quickly, especially after a migration from older systems.

Important note: Advanced Tell Me is intended for navigation and discoverability. It does not search live business records or external content.

3. Natural-Language Reporting and Analysis

Business challenge: Many companies rely heavily on Excel because users find it difficult to build analysis views inside the ERP system. This can create delayed reporting and inconsistent versions of data.

How Business Central helps: Analysis Assist with Copilot allows users to describe the analysis they want in plain language. Copilot can help create analysis views with filters, grouping, sorting, totals, and related fields.

Business value: This helps users analyse data directly inside Business Central instead of constantly exporting data to spreadsheets.

4. Record Summaries for Faster Decision-Making

Business challenge: Before making a decision, users often need to check multiple tabs, related entries, statistics pages, and document history.

How Business Central helps: Summarise with Copilot can generate a short summary of selected records such as customers, items, or sales documents.

Business value: This helps account managers, customer service staff, finance users, and operations teams quickly understand the situation before taking action.

Important note: AI-generated summaries should be reviewed before decisions are made.

5. Faster Master Data Entry With Autofill

Business challenge: Creating and maintaining customer cards, vendor cards, item cards, and document fields can be time-consuming. Incomplete master data can affect reporting, pricing, posting, and operations.

How Business Central helps: Autofill with Copilot can suggest values for blank editable fields on cards and documents. Users review, accept, or reject suggestions.

Business value: This can reduce data entry effort and improve data completeness during setup and day-to-day maintenance.

Important note: Autofill is a preview feature and does not apply to every page or field type.

6. AI-Generated Product Descriptions

Business challenge: Businesses that sell products online often need clear and attractive product descriptions. Writing this content manually can be slow, especially with many SKUs.

How Business Central helps: Marketing Text Suggestions with Copilot can generate product descriptions based on item information such as description, category, attributes, colour, size, and material.

Business value: This helps retail, wholesale, distribution, and ecommerce businesses create product content faster for web shops, Shopify scenarios, emails, or catalogues.

Important note: Generated marketing text is a suggestion and should be reviewed before publishing.

7. Sales Line Suggestions

Business challenge: Sales teams often receive incomplete or informal product requests, such as "same as last time" or vague product descriptions. Selecting the correct SKU can be difficult in large catalogues.

How Business Central helps: Sales Line Suggestions with Copilot helps users create sales quote, sales order, or sales invoice lines using structured input or natural language. It can help identify products using item numbers, descriptions, barcodes, item references, and attributes.

Business value: This can speed up sales order entry and reduce the risk of selecting the wrong product.

8. Sales Order Agent

Business challenge: Many businesses receive orders or quote requests by email. Staff must manually read the email, identify the customer, interpret the requested items, check availability, create a quote or order, and respond.

How Business Central helps: The Sales Order Agent helps process customer email requests. It can interpret incoming emails, identify customers, clarify missing information, check item availability, and help prepare a sales quote.

Business value: This can improve sales productivity and help customers receive faster responses.

Important note: The agent requires setup and configuration. It should be introduced with clear review and approval processes.

9. Bank Reconciliation Assistance

Business challenge: Bank reconciliation can take significant time when transactions do not automatically match. Common issues include lump-sum customer payments, unclear bank descriptions, small differences, and manual general ledger coding.

How Business Central helps: Bank Reconciliation Assist with Copilot helps users match bank statement lines to ledger entries and can suggest general ledger accounts for unmatched transactions.

Business value: This helps finance teams reduce manual reconciliation work and speed up month-end processing.

Important note: Operational limits may apply depending on the number of open ledger entries and description length.

10. Vendor Invoice Processing With Payables Agent

Business challenge: Accounts payable teams often spend time reading supplier emails, opening PDF attachments, extracting invoice details, identifying vendors, coding lines, and creating purchase invoice drafts.

How Business Central helps: The Payables Agent can monitor a mailbox, import vendor invoice attachments, extract invoice information, identify vendors, and help create purchase invoice drafts for review.

Business value: This can reduce manual AP processing and help finance teams handle invoices more efficiently.

Important note: This capability may use Microsoft Copilot Studio messages, which may have additional cost depending on usage.

11. E-Document Purchase Order Matching

Business challenge: Supplier invoices do not always match purchase orders perfectly. Users may need to manually compare invoice lines, purchase order lines, descriptions, quantities, prices, and vendor references.

How Business Central helps: Copilot can help map incoming e-document invoice lines to purchase order lines using text comparison and semantic matching.

Business value: This can reduce manual invoice matching effort and improve purchasing and accounts payable efficiency.

Important note: This feature is marked by Microsoft as production-ready preview.

12. Substitute Item Suggestions

Business challenge: When an item is unavailable, staff need to find a suitable alternative quickly. This can be difficult when there are many similar products or substitute relationships have not been maintained.

How Business Central helps: Copilot can suggest substitute items based on item descriptions, item references, item attributes, and related product information.

Business value: This helps sales and inventory teams respond faster when products are unavailable, reducing lost sales and improving customer service.

13. Number Series Setup Assistance

Business challenge: During implementation or company setup, number series must be created for customers, vendors, items, invoices, orders, and posted documents. This setup is repetitive and must be done carefully.

How Business Central helps: Copilot can suggest number series based on natural-language instructions, including different document types or financial-year-based numbering.

Business value: This helps reduce setup effort during implementation and improves configuration efficiency.

Important note: Results should be reviewed carefully to avoid unwanted or conflicting number series.

14. Cash Flow Forecasting With AI

Business challenge: Many businesses struggle to maintain accurate cash flow forecasts. Manual forecasting can be slow and may not reflect current transactions, open invoices, payment terms, and historical trends.

How Business Central helps: Business Central supports cash flow forecasting and can use Azure AI capabilities to improve cash flow analysis.

Business value: This helps business owners and finance managers better understand expected cash inflows and outflows, supporting planning around supplier payments, customer collections, and working capital.

Important note: This is AI and machine-learning supported forecasting rather than the same experience as Copilot Chat.

Business Benefits by Department

Finance: Bank reconciliation assistance, vendor invoice automation, invoice matching, cash flow analysis, and faster review of financial data.

Sales: Sales line suggestions, faster quote and order preparation, AI-assisted email order processing, and better use of product catalogue data.

Inventory and product management: Substitute item suggestions, item data support, product descriptions, and ecommerce content creation.

Management reporting: Natural-language analysis views that reduce reliance on manual spreadsheet preparation.

User productivity: Improved search, navigation, record summaries, and guidance inside Business Central.

Important Considerations Before Implementation

AI in Business Central is designed to assist users, not replace them. Users should review AI-generated suggestions before accepting, posting, sending, or publishing information.

Some capabilities may be preview features, require configuration, or have licensing and usage considerations.

Organisations should define user permissions, governance, review steps, and approval controls before adopting AI-assisted workflows.

The quality of AI assistance depends on the quality of business data, including item attributes, customer and vendor records, dimensions, posting setup, and document history.

For agent-based automation, organisations should clarify who reviews outputs, who approves transactions, and how exceptions are handled.

Recommended Next Step

The best way to assess the value of Business Central AI is to identify where the organisation currently spends the most time on manual work. Common starting points include:

  • Bank reconciliation
  • Vendor invoice processing
  • Sales order entry
  • Product description creation
  • Inventory substitution
  • Management reporting
  • User onboarding and system navigation

A practical assessment can then map these pain points to the most relevant Business Central AI capabilities, confirm licensing and configuration requirements, and identify a suitable implementation roadmap.

Microsoft References