Have you ever looked at dozens of reports and felt like instead of getting answers, you were just getting more questions? In many companies, data is everywhere – in ERP systems, Excel spreadsheets, marketing tools – and instead of making life easier, it often makes it much more complicated. 

This is where Microsoft Fabric with built-in artificial intelligence comes in. Instead of spending hours analyzing tables, you can simply ask for the insight you need and instantly get an answer, a recommendation, or a forecast. 

And that’s exactly what this article is about – because AI in Fabric is not just a trend, but a real tool for making business decisions, helping companies act faster and more confidently. 

What problems does AI in Fabric solve? 

Anyone who has ever tried to combine data from multiple systems – sales from ERP, marketing from Google Ads, and finance from Excel – knows it’s a real headache. You end up spending hours searching for the right report and checking whether the numbers even match. 

AI in Fabric eliminates this problem. Instead of digging through dozens of files, you get a single, unified view of your data and can focus immediately on analysis. 

But that’s not all. Artificial intelligence doesn’t just organize the data – it also suggests what actions to take. It’s a bit like having an analyst who’s available 24/7, saying things like, “Pay attention to this sales drop” or “Here’s an opportunity to increase your margin.” 

On top of that, Copilot in Fabric analyzes trends and detects anomalies that might slip through traditional reports. This way, you not only react faster but can also anticipate problems before they become real business risks. 

Examples of AI in Fabric in action 

Theory is one thing, but it’s best to see how it works in practice. AI in Fabric can be applied in many everyday business scenarios – from sales to finance. 

Sales report with instant action recommendations 
Imagine opening a report and immediately seeing not just numbers, but also a suggestion: “Focus on this region – growth is fastest here.” This isn’t science fiction – it’s everyday life with AI in Fabric. 

Product demand forecasting 
Instead of guessing which products to order next quarter, the system analyzes historical data, seasonality, and market trends to predict what the market will need. This makes purchasing decisions more accurate and less risky. 

Detecting anomalies in financial data 
AI in Fabric can spot deviations that might seem insignificant to a human. Unexpected drop in payments? Extremely high cost in one category? The system notices it instantly and flags it. 

These features make AI in Fabric not just an analytical tool, but a real advisor that supports your company in making decisions every day. 

Why implement AI in Fabric in your company? 

Every manager knows how much time it can take to prepare a “regular” report – and even more to interpret it. AI in Fabric minimizes this process. Instead of spending hours on analysis, you get ready-made insights and suggested actions. 

This means: 

• Time savings and error reduction – the system automatically detects inconsistencies that might go unnoticed in Excel or manual analyses. 

• 24/7 access to data – whether you’re in the office, traveling, or in a client meeting, you have a complete view of the situation on your computer or mobile devices. 

• Enhanced decision-making – managers and business teams no longer have to rely solely on intuition. They have hard data and AI-driven recommendations to support better decisions. 

AI in Fabric vs. the competition 

There are many analytics tools on the market, but AI in Fabric stands out thanks to integration within a single environment. Other solutions often require connecting multiple systems, using additional plugins, or manually configuring artificial intelligence. 

In Fabric, AI is built-in and works right away – no extra setup or installation needed. From day one, you can leverage forecasts, anomaly detection, and smart recommendations. 

This is the advantage of Fabric: it’s not just about collecting data, but about real interpretation and support for business decisions. In practice, this means less complicated processes and more time for what really matters – growing your company. 

Data Agent in Microsoft Fabric – what is it?

Imagine your data scattered across multiple locations – in SQL databases, Excel spreadsheets, the cloud, and marketing systems. Normally, you would have to manually combine it all, which takes time and often leads to errors. This is where Data Agent in Microsoft Fabric comes into play. 

This solution acts like an intelligent “data courier.” Its job is to securely connect data sources that are outside the Microsoft cloud (for example, local databases or applications in your infrastructure) with the services available in Fabric. This way, you can take full advantage of Fabric analytics without having to move everything to the cloud. 

What problems does Data Agent in Microsoft Fabric solve? 

• Secure access to on-premise data – connect to local sources without needing to migrate them to the cloud. 

• Automated integration – data is automatically fetched and updated, so you don’t have to do it manually. 

• Flexibility – combine data from multiple sources (local and cloud) and analyze it all in one environment. 

Why is this important? 

In practice, it means you don’t have to choose between “cloud or local databases.” Data Agent in Microsoft Fabric gives you both worlds at once – accessibility, security, and convenient analytics all in one place. 

Conclusion 

AI in Fabric is practical support, not a futuristic vision. It’s a tool that already helps companies analyze data faster, make better decisions, and respond more effectively to changes in the business environment. 

If you want to see how AI in Fabric can work in your company – contact us. You’ll see that artificial intelligence in business is not just a theory, but a daily tool that truly makes a difference.