The arrival of Copilot in the Hungarian localization of Microsoft Dynamics 365 Business Central has raised a key question for many companies: what can this AI assistant actually do in the local business and regulatory environment? While often compared to Microsoft 365 Copilot, the tool built into Business Central is a fundamentally different system. It works directly with ERP data, understands business processes, and provides context-aware recommendations based on the company’s own financials, inventory, and operational records.

Because Copilot is only available in the cloud (SaaS) version of Business Central, users can access it instantly and at no additional cost. The assistant is designed to simplify everyday work by generating product descriptions, summarizing data, preparing emails or offers, and assisting in tasks that would otherwise require manual review. In finance and accounting, it helps interpret bank statements, detect mismatches, categorise transactions, and produce quick explanations of monthly results or cash-flow changes. In sales and customer service, it can draft proposals, analyse order history, and highlight buying patterns, while in procurement and inventory management it supports replenishment decisions by interpreting stock movements and suggesting potential reorder quantities.

The quality of AI-generated text still requires human review, but the administrative workload is significantly reduced.

A major strength of the Hungarian localization is that Copilot understands local accounting rules, VAT logic and reporting structures, and can interpret Hungarian-language instructions as well as mixed English–Hungarian business terminology. Although the NTCA Online Invoice integration itself is a native BC feature rather than an AI capability, Copilot helps interpret invoice data, flag potential inconsistencies and recognise typical error patterns.

This makes onboarding easier for new users and reduces the risk of misunderstandings in processes where Hungarian-specific phrasing or regulatory requirements play an important role.

Not every feature available globally is fully enabled in Hungary yet, and the AI’s reasoning capabilities are still evolving. Some prompts or outputs may appear in English, and certain forecasting or advanced planning functions remain in Microsoft’s development roadmap. Even so, the current toolset already provides immediate value by turning complex datasets into understandable insights and by answering natural-language questions such as which products performed best last quarter or where notable cost deviations occurred.

As artificial intelligence becomes a built-in element of enterprise systems, tools like Copilot are rapidly becoming standard rather than optional enhancements.

For Hungarian businesses, this offers an opportunity to streamline operations, improve decision-making and build a more data-driven culture without increasing system complexity. While human oversight remains essential, the direction is clear: companies that start exploring AI-supported ERP workflows today will be better positioned to benefit from the technology’s accelerating capabilities tomorrow. If you want to understand how Copilot could support your organisation’s processes or where it can generate short-term, tangible value, DynaGo’s experts can help navigate the options and tailor the solution to your operational needs.

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