Microsoft Copilot in Business Central: A practical guide

Microsoft Copilot in Business Central is an AI-powered assistant built into the ERP experience to help users work faster, reduce repetitive effort, and make better use of business data. It has capabilities that support finance, sales, setup, analysis, and navigation. It is included with Business Central licensing, inherits the user’s existing permissions, and is available only in Business Central online.

This is crucial because the ERP conversation is changing. AI is no longer a separate experiment sitting outside core operations. It is moving into the system where transactions are created, approvals happen, and decisions are made. Microsoft’s 2025 Work Trend Index –, based on survey data from 31,000 workers across 31 countries plus Microsoft 365 productivity signals – , points to a broader shift toward AI-enabled ways of working. At the same time, McKinsey’s 2025 State of AI found that 88% of respondents say their organizations use AI in at least one business function, but only about one-third have started scaling AI across the enterprise.

In Business Central, AI is increasingly embedded where users already spend time: reviewing records, analyzing data, drafting content, creating sales documents, and setting up the system. Microsoft’s current documentation highlights capabilities such as chat with Copilot, sales line suggestions, number series suggestions, marketing text generation, and AI-assisted analysis, alongside other predictive features like inventory forecasting, late payment prediction, and cash flow analysis.

For most organizations, the real impact is not a dramatic “AI transformation” on day one. It is the accumulation of small operational shifts such as:

• Less time spent searching for information across screens
• Faster completion of routine ERP tasks
• Quicker interpretation of data before taking action
• Better consistency in how users interact with the system
• More capacity for teams to focus on exceptions, not just transactions

Copilot adoption succeeds when the ERP foundation is already trustworthy.

The common misconception is that AI improves an ERP environment on its own. In reality, it works with and amplifies what is already there. If your data is fragmented, permissions are inconsistent, or integrations are unreliable, users will feel those weaknesses faster. McKinsey’s 2025 State of AI research is clear that organizations seeing stronger AI outcomes are more likely to redesign workflows intentionally, define validation processes, and invest in data and technology foundations.

Copilot in Business Central does not require customers to train a custom model before getting started, but it still depends on the quality of the underlying ERP data and setup. Poor item records, inconsistent customer data, duplicate vendors, weak document structures, and incomplete financial dimensions all reduce the usefulness of AI-generated assistance. 

According to Fortude’s Microsoft consulting team, this is where many organizations misread the opportunity: the first question is not “Which Copilot feature should we turn on?” but “Can our ERP produce trusted outputs consistently enough for AI to help users act confidently?”

Pro tip: Before expanding copilot use, run a data analytics health check to spot gaps in data quality, reporting, and integration that could limit AI outcomes. Get in touch with us to schedule your data analytics health check and start building a stronger foundation for AI success.

How do access controls and governance affect adoption?

Microsoft states that Copilot inherits the user’s existing permissions and cannot access more data than the user is already authorized to see. Microsoft also says it does not read prompts or use customer data to train AI models without explicit permission, and that customers in the EU Data Boundary can keep data within that boundary.

That makes role design, security configuration, and governance very important. When AI becomes a natural part of how people search and work inside ERP, weak access models become a bigger operational risk.

What role do integrations play?

Integrations play a critical role because AI-driven insights within  the ERP become far more valuable when they are informed by connected operational data. ERP users rarely make decisions from ERP transactions alone. Operational context matters too: customer activity, warehouse performance, supplier updates, reporting metrics, and financial trends all influence how teams respond and prioritize work.

Fortude’s Data and AI consulting emphasizes building cloud-ready analytics platforms using Microsoft Fabric, Azure, and Power BI, integrating Business Central into a trusted source of truth. This creates a trusted operational data foundation that strengthens AI capabilities inside the ERP itself. The value of Copilot therefore grows when the surrounding data environment is connected, reliable, and governed. AI becomes more useful when it can interpret operational context, not just isolated ERP records.

The risks outlined above are also the reasons many AI pilots stall. McKinsey reports that most organizations are still moving from experimentation to scaled value rather than operating at enterprise-wide maturity.

Yes, for organizations that treat it as an ERP capability and not a novelty feature.

The value is strongest when leaders see Copilot as part of operational design: better data discipline, better process design, clearer governance, and smarter daily execution. It is also a cloud conversation. Microsoft states that Copilot is exclusive to Business Central online, so organizations still using on-premises or private cloud deployments will need a broader readiness plan before they can benefit.

1. Assess Business Central data quality and ownership
2. Review role-based access and governance
3. Standardize high-volume workflows
4. Map critical integrations and reporting dependencies
5. Test changes continuously as the ERP evolves

Fortude supports this journey across the Microsoft ecosystem, including Business Central optimization, ongoing managed services, and Microsoft-powered data and AI consulting. Fortude’s managed services team positions itself as an extension of the customer team to keep Business Central optimized, while its data and AI consulting services focus on turning ERP data into a scalable foundation for analytics and AI.

Pro tip: Fortude’s AI Realization Assessment can help you identify where Copilot can create value first and what capabilities need to be in place to support it.

Explore Fortude’s Microsoft Dynamics 365 Business Central Consulting capabilities or speak with the team about next steps.