Best AI tools for Business Central: Copilot, AI agents, forecasting, and more

Microsoft Dynamics 365 Business Central already contains the financial, sales, purchasing, inventory, and operational data businesses use to make decisions. The right AI tools for Business Central can make that information easier to use by reducing manual work, finding answers faster, improving forecasts, and automating defined business processes.

The best AI tools for Business Central include Microsoft Copilot, Business Central AI agents, AI-powered sales and operations planning, Power BI, Power Automate with AI Builder, and Microsoft Copilot Studio. Each addresses a different business need, so getting value from AI starts with choosing the right tool for the process you want to improve.

What is Dynamics 365 Business Central?

Microsoft Dynamics 365 Business Central is an ERP system designed for small and midsize organizations. It connects financial management, purchasing, inventory, sales, manufacturing, projects, service management, and other core business processes in one system.

Business Central also works with the broader Microsoft ecosystem, including Power BI, Power Automate, Microsoft 365, Copilot, and Power Platform. Businesses can use these connections to extend their ERP with analytics, automation, and AI based on their needs.

Organizations can explore the full range of Dynamics 365 Business Central capabilities to understand how the platform can support their broader operational requirements.

How Business Central connects with AI and automation

Business Central can serve as the operational and financial foundation for several Microsoft and partner AI tools. Some capabilities work directly inside Business Central, while others connect through Power Platform, Power BI, Azure, or specialized Business Central apps.

The best AI tools for Business Central

The best AI tool depends on what you want to improve. Business Central users can apply AI to everyday ERP work, transaction processing, forecasting, reporting, workflow automation, and custom processes. The following tools address different parts of that opportunity.

Microsoft Copilot in Business Central: AI built into your ERP

Microsoft Copilot brings AI capabilities into Business Central to help users work with ERP data without moving to a separate AI application. Business Central Copilot use cases range from finding information and analyzing data to assisting with specific financial and operational tasks.

Chat with Copilot, for example, allows users to interact with Business Central using natural language. A user can ask Copilot to find records or help analyze information instead of manually navigating through pages, filters, and reports.

Depending on the available Copilot capability, Business Central users can:

• Find Business Central records: Search for customers, vendors, items, sales orders, and other records with natural language.
• Analyze business data: Ask Copilot to organize and analyze information or help create analysis views.
• Understand Business Central: Ask questions about fields, pages, features, and processes while working in the system.
• Reduce repetitive data entry: Use AI-assisted capabilities such as autofill to suggest information for editable fields.
• Support financial processes: Use Copilot-assisted capabilities in areas such as bank reconciliation to help identify transaction matches.
• Work more efficiently: Reduce time spent searching for information or learning how to complete unfamiliar tasks.

Some Business Central Copilot capabilities continue to evolve or remain in preview. Organizations should verify the availability and requirements of a specific feature before making it part of a business-critical process.

Copilot is primarily designed to assist the person completing the work. When a business wants AI to take responsibility for more steps in a defined process, AI agents provide another option.

Business Central AI agents: Automating work instead of just assisting users

Business Central AI agents go beyond answering questions or making suggestions. Agents can work through defined tasks, prepare transactions, communicate with users, and involve employees when review or input is required.

Microsoft currently provides agents for common Business Central processes. Organizations can also develop custom Business Central agents for workflows that Microsoft-delivered agents do not cover.

Sales Order Agent and Payables Agent are generally available. Expense Agent is available as a production-ready preview as of September 2026.

Agents work best when businesses define what AI can do and where employees need to review its work. This is especially important when agents interact with financial transactions, customer information, inventory, approvals, or other business-critical data.

Businesses with processes that standard agents do not address can also explore custom AI agents in Dynamics 365 Business Central. These agents can support specialized workflows, but organizations should plan for development, permissions, testing, governance, and ongoing management.

AI-powered sales and operations planning for Business Central

Forecasting becomes difficult when sales, operations, purchasing, and finance teams work from different assumptions or spreadsheets. AI can help organizations use historical information to create a more data-driven starting point for sales and demand planning.

Rand Group’s Sales and Operations Planning app with AI Forecasting for Business Central combines Business Central planning processes with AI-powered forecasting.

The S&OP app can help organizations:

• Create sales budgets and demand forecasts
• Build different planning scenarios
• Use historical Business Central data as a forecasting input
• Import and work with planning information through Excel
• Coordinate sales, finance, operations, and purchasing around a shared plan
• Generate AI-powered forecasts using trained models

The AI Forecasting capability can sync historical sales data to Microsoft Azure, where businesses can train forecasting models based on their Business Central information. This gives planners a stronger starting point when estimating future demand. Teams can review the forecast and apply what they know about upcoming promotions, new customers, product changes, seasonality, supply constraints, and other business conditions.

AI does not need to make inventory or purchasing decisions on its own to provide value. It can give sales, finance, purchasing, and operations teams a common forecast to review and refine together.

Power BI: Turn Business Central data into actionable insights

Power BI gives businesses another way to apply analytics and supported AI capabilities to their Business Central data. Once Business Central data is available in Power BI, users can combine traditional reporting and visualization with AI-assisted analysis to explore performance, identify patterns, and get answers from their data. Businesses can connect Business Central and Power BI so Power BI can use ERP information as a data source for reports and dashboards.

Power BI includes AI-assisted capabilities that can help users:

• Ask questions using natural language: Copilot in Power BI can help users interact with supported reports and data conversationally.
• Summarize reports: Copilot can create narrative summaries that help users understand key information in a report.
• Create and refine reports: Report creators can use natural-language prompts to assist with building and editing report pages.
• Identify key drivers: AI-powered visuals such as Key Influencers can help users explore what factors contribute to a result.
• Detect unusual patterns: Anomaly detection can help highlight unexpected changes in time-series data.
• Explore forecasts and trends: Power BI provides forecasting and analytical tools that can help teams understand patterns in historical data.

When these capabilities are used with Business Central data, finance and operations teams can apply AI-assisted analysis to areas such as revenue, profitability, inventory, purchasing, customer performance, project margins, and financial results.

Copilot availability in Power BI depends on Microsoft’s licensing, capacity, and configuration requirements, so organizations should confirm requirements before planning around a specific AI capability. Businesses can also explore broader Microsoft Power BI reporting and analytics when Business Central reporting needs extend beyond standard ERP reports.

Power Automate with AI Builder: Automate Business Central workflows

Not every repetitive Business Central process needs an AI agent. When a process follows predictable steps and conditions, traditional workflow automation may provide greater control.

Microsoft Power Automate allows organizations to create automated workflows across Business Central and other applications. The Business Central connector can trigger actions based on ERP activity or move information between Business Central and connected Microsoft services.

Organizations can use Power Automate to:

• Route records and requests for approval
• Send notifications when specific events occur
• Coordinate processes between Business Central and other applications
• Create or update records through automated workflows
• Reduce manual handoffs between departments or systems
• Add AI capabilities when a workflow needs to interpret documents or information

AI Builder can extend these workflows when a process needs more than fixed rules. For example, AI-powered document processing can extract information from documents before Power Automate routes or uses that data in another process.

The distinction between automation and AI matters. If a process follows the same rules every time, traditional automation may be simpler and easier to manage. AI becomes more useful when the process requires interpretation, classification, summarization, or document understanding.

Microsoft Copilot Studio: Build custom AI agents for Business Central

Standard Copilot features and Microsoft-delivered Business Central agents will not cover every business process. Microsoft Copilot Studio gives organizations another way to build AI agents around more specialized requirements.

Copilot Studio is a low-code platform for creating agents and agent flows. Microsoft supports connecting Copilot Studio agents to Business Central through the Business Central connector or Business Central Model Context Protocol, or MCP, server.

Depending on the design and permissions, a Copilot Studio agent can work with Business Central data and business logic to support tasks such as:

• Finding customer, vendor, invoice, or inventory information
• Creating or updating Business Central records
• Creating sales orders
• Checking customer credit
• Triggering approvals or workflows
• Combining Business Central information with information from other applications

The technology can support complex AI use cases, but organizations should start with the business process rather than the agent itself.

Determine where employees spend time, what decisions they make, which information they need, and which steps require human judgment. Then decide whether the requirement calls for Copilot Studio, a custom Business Central AI agent, Power Automate, traditional Business Central development, or a combination of approaches.

How do you choose the right AI tool for Business Central?

The newest AI feature is not always the right tool for the job. Start with the business outcome you want and work backward to the technology.

The following questions can help determine which technology fits the requirement:

• What problem are we trying to solve? Identify the manual process, information gap, delay, or decision that needs improvement.
• What type of work is involved? Predictable, rules-based processes may be better suited to traditional automation, while AI can help with interpretation, classification, summarization, or context-based work.
• Where does the data live? Determine whether the process depends only on Business Central or also requires Microsoft 365, Dataverse, another business application, or an external system.
• How much autonomy should AI have? Decide whether the technology should make a suggestion, prepare work for review, or complete defined actions.
• Which technology best fits the requirement? Compare Copilot, agents, Power Automate, Power BI, Copilot Studio, and traditional Business Central development based on the process rather than choosing the newest option.

For example, a company may initially assume it needs an AI agent to route purchase approvals. If the process follows a consistent set of rules, Power Automate may be the simpler choice. An agent becomes more useful when the workflow requires AI to interpret information or make context-based decisions.

Choosing the simplest technology that solves the business problem can make the solution easier to test, manage, and expand.

What should you consider before adding AI to Business Central?

Once you identify the right use case and technology, the next step is determining whether the business is ready to deploy it. AI depends on the information, permissions, controls, and processes already present in the environment.

Before moving an AI use case into production, consider:

• Data quality: Review incomplete, duplicate, outdated, or inconsistent Business Central data that could affect AI results.
• Security and permissions: Give AI tools and agents access only to the information and actions required for the process.
• Human review: Define where employees must validate recommendations, transactions, exceptions, or generated information.
• Testing: Test common scenarios as well as exceptions before depending on AI for important business processes.
• Cost: Review licensing and consumption requirements. Some Business Central agents consume Microsoft Copilot Credits, so organizations should understand expected usage.
• Adoption: Train employees on what the tool can do, where its limits are, and when they should verify its output.
• Availability: Confirm whether the capability is generally available or still in preview before relying on it for a production process.

Businesses should also define what success looks like before implementation and assign responsibility for governance and ongoing management. A measurable goal such as reducing invoice processing time, shortening reporting cycles, improving forecast accuracy, or reducing manual data entry makes it easier to evaluate whether the AI initiative is delivering value.

Why work with Rand Group to get more from Business Central and AI?

Getting value from AI requires understanding how Business Central, Power Platform, reporting, development, data, and AI fit together. Rand Group has worked with Microsoft business applications since 2003 and supports organizations across the United States and Canada.

Our team includes Business Central consultants, developers, solution architects, data specialists, CPAs, and industry professionals. This cross-functional experience helps us determine whether a business process is best addressed through Copilot, an AI agent, Power Automate, Power BI, Business Central development, or another approach.

Rand Group was also named the 2025 Microsoft Americas Channel Emerging Partner of the Year. We support clients beyond implementation through optimization, Business Central training, development, reporting, AI adoption, and ongoing Business Central support.

How Business Central customers describe working with Rand Group

“Rand Group gives us the knowledge and the information to make the proper business decision to expand our business to that next level and open up new revenue opportunities.” – Nigel Paskinov, Managing Director, Canadian Spa Company

“Rand Group as a whole made us feel like we always knew who to call if there was an issue, and they always took it seriously. We were very happy overall.” – Susanna Stewart, Director of Finance & Administration, M&H Enterprises

Frequently asked questions about AI tools for Business Central

Get more value from AI in Dynamics 365 Business Central

AI gives Business Central users more options for reducing manual work, analyzing ERP information, improving forecasts, automating processes, and supporting faster decisions. The most useful AI initiative, however, is not necessarily the most advanced. It is the one that solves a defined business problem and produces a result the organization can measure.

Whether you are evaluating Copilot, Business Central AI agents, Power BI, forecasting, automation, or a custom AI solution, start with the process you want to improve. To discuss where AI can fit within your Business Central environment, contact Rand Group.