Copilot Studio Agent Usage Estimator: CFO ROI Metrics

Case study This is a case study. Case studies are not timed separately from other exam sections. You can use as much exam time as you would like to complete each case study. However, there might be additional case studies or other exam sections. Manage your time to ensure that you can complete all the exam sections in the time provided. Pay attention to the Exam Progress at the top of the screen so you have sufficient time to complete any exam sections that follow this case study. To answer the case study questions, you will need to reference information that is provided in the case. Case studies and associated questions might contain exhibits or other resources that provide more information about the scenario described in the case. Information provided in an individual question does not apply to the other questions in the case study. A Review Screen will appear at the end of this case study. From the Review Screen, you can review and change your answers before you move to the next exam section. After you leave this case study, you will NOT be able to return to it. To start the case study To display the first question in this case study, select the "Next" button. To the left of the question, a menu provides links to information such as business requirements, the existing environment, and problem statements. Please read through all this information before answering any questions. When you are ready to answer a question, select the "Question" button to return to the question. Overview Contoso, Ltd. is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance. Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American operations. The company designs and develops innovative products that have many patents and proprietary technologies. The patents and engineering designs are closely guarded secrets. Contoso executives want to integrate and adopt AI solutions to help scale the company in preparation for an anticipated period of rapid growth. The company has multiple legal entities and Azure subscriptions that will be used in the adopted AI solutions. Requirements AI Adoption The following executives will have specific responsibilities in the overall AI adoption: • Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain Management or Dynamics 365 Commerce prebuilt AI agent and one custom Microsoft Copilot Studio AI agent to prioritize and deploy during the initial AI adoption phase. • Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data used by the AI agents. • Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the AI agents being deployed. • Chief Information Security Officer (CISO): Discover and inventory AI resources for auditing. • Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible AI practices. All AI initiatives and agents will have a detailed business use case, a defined audience profile, and an estimated ROI that will compare the cost savings of the current process against the estimated costs of using the new AI solutions. The company's research and development (R&D) department already has a custom Model Context Protocol (MCP) server that contains comprehensive product specifications and compliance data. Prebuilt AI Agent The CTO has NOT yet selected which prebuilt AI agent to use in Dynamics 365 Supply Chain Management. The CTO wants to view available agent templates to identify which agent will add the most business value. Depending on which high-priority AI agents are identified, its agent capabilities must be previewed in a discovery meeting with the relevant business operation stakeholders. Custom AI Agent Contoso has identified the following custom AI agent requirements: • The custom AI agent will use data from Dynamics 365 Supply Chain Management to answer questions for the manufacturing team as a low-code solution. • The custom AI agent will be accessible from within Microsoft Teams. • The custom AI agent must be designed to eventually connect to other agents that can be selected based on their description. • The topics used in the custom AI agent will be selected based NOT on a trigger phrase, but on a description of the purpose of the query, to make the interactions more conversational. • The custom AI agent must be able to answer questions about product specifications by using existing technologies. The product specifications are maintained by the R&D department. • The custom AI agent must be integrated with and accessible from Dynamics 365 Supply Chain Management. • The custom AI agent must be able to use Dynamics 365 Supply Chain Management business logic that is stored outside of the application. Analysis, Reporting, and Troubleshooting Contoso has identified the following analysis, reporting, and troubleshooting requirements: • The CISO will audit all the AI solutions monthly for compliance and security. • The CFO will analyze all the AI solutions quarterly to compare the estimated ROI against actual measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to perform this analysis. • The CISO wants to identify how much sensitive data was accessed for a given AI agent run and who accessed the data. Too much sensitive data accessed by a single user might indicate a high security risk. • The CTO wants to track user feedback on the quality of the AI agent responses during user interactions with the agents. Consistently poor feedback will trigger an escalated reengineering discussion. • The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities. The tools used for the assessments must be Microsoft-recommended and must verify reliability, interpretability, fairness, and compliance. • The CFO wants to identify how many interactions with the AI agents are abandoned on a given day as compared to resolved conversations. Too many abandoned sessions might indicate that Copilot Studio credits are being used inefficiently by end users. Which two components in the custom AI agent design should the CFO evaluate in the quarterly agent analysis? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.