Explore practical uses of AI in enterprise reporting with a live comparison of Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry.
AI is showing up in almost every business conversation, and its use in reporting and analytics is no exception. Users want to ask questions in plain language, get answers faster, trust the answer, and spend less time digging through reports. The challenge is figuring out how to apply AI in a way that is practical, trusted, and supportable.
Organizations have data in systems, reports, spreadsheets, and documents, so getting the right answer can take too much time. Business users may not know where to look, how to interpret the data, or who to ask when a number does not seem right. AI can help, but only when it is applied to the right data with the right expectations. AI does not magically fix reporting challenges. It works best when paired with effective data architecture, clean data, and a clear understanding of the business use case.
In our upcoming webinar, “AI in Enterprise Reporting: Comparing Microsoft 365 Copilot, Copilot Studio, and Foundry,” we will compare three Microsoft-based approaches to AI-enabled reporting.
Microsoft 365 Copilot: a familiar option for helping users find, summarize, and interact with information already available within the Microsoft 365 ecosystem. It can be a low-barrier entry point with limited development needed, but it is best suited for search and lookup scenarios rather than analytics or aggregations.
Copilot Studio: a low-code option for creating a more customized conversational reporting experience tied to specific business processes, data sources, or reporting needs. It can translate natural language into SQL queries against a live database and support more accurate responses, but success depends heavily on curated data, clear agent instructions, and appropriate database-level access.
Azure AI Foundry: a more flexible development platform for building AI-enabled applications and experiences with greater control over data, logic, and user interaction. It offers the highest level of customization, with access to a broader set of models that can support more advanced or complex reasoning, but it also requires custom development to design, build, and support the solution.
The webinar will include actual demos, not just high-level concepts. The goal is to help you see how these tools behave in real scenarios, what they do well, and where they may require additional planning or architecture. The goal is for attendees to leave with a better understanding of which approach may fit different reporting needs, levels of complexity, and business goals.
So, join us for this live webinar on Tuesday, June 2nd to see a practical comparison of Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry in enterprise reporting scenarios. We will walk through real demos, discuss where each tool fits, and share considerations to help your organization take a more practical next step with AI.
