{"id":16613,"date":"2026-06-04T10:37:57","date_gmt":"2026-06-04T09:37:57","guid":{"rendered":"https:\/\/fortude.co\/?post_type=blog&p=16613"},"modified":"2026-06-08T07:27:12","modified_gmt":"2026-06-08T06:27:12","slug":"microsoft-copilot-in-business-central-a-practical-guide","status":"publish","type":"blog","link":"https:\/\/fortude.co\/blog\/microsoft-copilot-in-business-central-a-practical-guide\/","title":{"rendered":"Microsoft Copilot in Business Central: A practical guide"},"content":{"rendered":"
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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\u2019s existing permissions, and is available only in Business Central online.<\/p>\n

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.\u00a0Microsoft\u2019s 2025 Work Trend Index<\/a>\u00a0\u2013, based on survey data from 31,000 workers across 31 countries plus Microsoft 365 productivity signals \u2013 , points to a broader shift toward AI-enabled ways of working. At the same time,\u00a0McKinsey\u2019s 2025 State of AI<\/a>\u00a0found 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.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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How is AI within ERP changing day-to-day operations now?<\/h3>\n<\/div>\n<\/div>\n
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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.\u00a0Microsoft\u2019s<\/a>\u00a0current 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.<\/p>\n

For most organizations, the real impact is not a dramatic \u201cAI transformation\u201d on day one. It is the accumulation of small operational shifts such as:<\/p>\n