HR scenario: Implement awards and recognition
Implementation information: Awards and Recognition Agent
Available with: Microsoft Copilot Studio Scenario level:
KPIs impacted
Employee retention
Value benefit
Employee experience
Using Copilot to implement awards and recognition
1. Create nomination
Agent prompts the user for the nomination details like category and the nominee (single, multiple people or Team).
Copilot Studio Agent
Benefit: Agent drives the user to fill in right details.
2. Generate nomination summary
Use the agent to create the summary of the nomination.
Copilot Studio Agent
Benefit: Turn a few thoughts on the data collected into a detailed summary.
3. Review and submit nomination
The agent presents the complete nomination details to the user and requests review and confirmation. User can choose to further edit or submit the nomination.
Copilot Studio Agent
Benefit: Review and make updates to the nomination.
4. View nominations
Employees can ask Copilot to show all the nominations submitted by them.
Copilot Studio Agent
Benefit: Hold the history of the nominations submitted by employee.
5. View recognitions
Employees can also see all the recognitions they have received.
Copilot Studio Agent
Benefit: Track their growth by reviewing the history of recognitions.
1Access Copilot at copilot.microsoft.com or the Microsoft Copilot mobile app and set toggle to “Web”.
2Access Business Chat at copilot.microsoft.com or the Microsoft Copilot mobile app and set toggle to “Web”.
3Copilot agents allow Microsoft 365 Copilot to access your company-specific apps. In the past, this would have required an API call to get data from a system of record. The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
