Reviewed in Last 12 Months How Alternatives Are Selected My overall experience using Microsoft Copilot has been really good. The product significantly helps in productivity, as all Microsoft products now integrate Copilot, supporting the crafting of messages and information across applications like Word, Excel, and Teams chats. My organization primarily utilizes Microsoft 365 Copilot as an end-user for our day-to-day work. Specifically, in Word, we leverage it to create and understand documents, as well as for summarizing complex documents. In Outlook, Copilot offers various features, such as crafting messages based on raw feedback and coaching on the appropriate tone for communication. For Excel, it provides quick analysis capabilities, which means we no longer need to learn or Google specific formulas, making tasks quicker and easier. Additionally, in PowerPoint, it aids in creating presentations and slides based on the information or documents we provide. From an organizational perspective, the strategy behind implementing Copilot is to bring awareness to the entire workforce about AI products. It serves as a foundational tool for common users to become accustomed to prompt engineering and the general use of AI. While we do not currently track Copilot’s impact as part of our measurable Key Performance Indicators (KPIs), we have received positive feedback regarding productivity improvements. Users have reported at least a 20% reduction in time spent on refining content created within these applications. When it comes to specific examples, quantifying time savings can be difficult due to varying use cases. However, for tasks like creating PowerPoint presentations, which might typically take a full day to gather and organize information, Copilot can save 20% to 30% of the time by generating an initial draft that then requires review and refinement. Our approach to rolling out Copilot has been phased, initially including individuals who have a direct need to interact with AI, and subsequently expanding to those who express interest. This phased implementation has resulted in a positive response. Regarding the accuracy and reliability of AI-generated responses, I would say they are pretty accurate, generally around 80% to 90%. Getting started with Copilot was quite easy for users. The basic functionality is intuitive, much like chatting with a person. Personally, I did not undergo formal prompt engineering training. Instead, I learned by refining my questions over time. I found that the first question might not always yield the most accurate result, so I would rephrase and ask more specific questions, which helped develop a "prompt engineering kind of mindset". This iterative process helped me understand how to phrase prompts more effectively over time, without needing explicit training to get started. Data
security, privacy, and compliance are areas where I believe Microsoft Copilot performs really well. My organization agreed to adopt it because we understand that when questions are asked based on internal documentation within our SharePoint or other instances, the information does not leave our company's secure environment. This robust security and data compliance is a primary reason why organizations are willing to adopt it. My organization has also issued internal advisories and best practices, outlining what kind of data can be inputted and what should be refrained from using with Copilot. These guidelines are complemented by general learning materials and specific organizational trainings. I have also observed that within a chat session, Copilot can retain information from previous interactions and understand context, much like a human conversation. However, this retention does not extend once the chat session is closed. Based on my experience, I would give Microsoft Copilot an overall rating exceeds expectations. The primary reasons my organization purchased this product include the desire to create internal and operational efficiencies, drive innovation, and enhance decision-making. We also considered its potential to reduce time to market for certain initiatives. Key factors influencing this decision were Microsoft's strong services expertise, breadth of services, product roadmap and future vision, and pre-existing relationships with the vendor. Read all insights and reviews for Microsoft 365 Copilot
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