AI Agent & Copilot Podcast: Kristoffer Ruyeras Shares Copilot Use Cases, Influence of AI on Business Tools

Key Takeaways

• Improving personal productivity: Copilot helps by summarizing missed meetings and action items, allowing efficient catch-up without bogging down colleagues, which can be helpful when returning from being out of the office. Copilot can also provide specific details from past meetings, such as budget discussions, ensuring transparency and accuracy, explains Kristoffer. These use cases have helped improve his productivity.
• Copilot for Finance use case: Kristoffer explains that he tested Copilot for Finance in Excel and found it effective for reconciliation tasks between two Excel sheets. It performed well and hopes its analytical capabilities continue to expand, making it easier to manage data without relying solely on Excel.
• Influence of AI on finance tools: Implementing Copilot in Business Central or Copilot for Finance in Excel, for example, raises questions about the future necessity of reconciliation tools, as AI could eliminate human errors. Initially, AI results may be met with skepticism, but over time, trust will build, reducing the need for manual verification. Shawn asks Kristoffer for his thoughts.
• Data acceptance requires human influence: Implementing NAV faced skepticism about data accuracy initially, and adopting Copilot will similarly take time for trust to build, Kristoffer notes. Despite Copilot's ability to provide reasoning and receipts, the human element of emotion and experience will always play a role in data acceptance.