Business Process Automation

9:30 上午 - 10:30 上午 (UTC)

In this session, participants will learn how to leverage Microsoft Copilot Studio and Code Interpreter to automate financial audit processes and gain actionable insights from financial data. The session focuses on transforming traditional manual audit activities into intelligent, AI-driven workflows that improve accuracy, efficiency, and decision-making. Participants will discover how to build an AI-powered audit assistant capable of analyzing financial statements, identifying anomalies, detecting inconsistencies, generating audit summaries, and answering natural language questions about financial records. Key Topics Covered: Introduction to AI-powered financial auditing Understanding Microsoft Copilot Studio for business automation Using Code Interpreter for financial data analysis Uploading and analyzing financial reports and spreadsheets Detecting anomalies, outliers, and compliance risks Generating automated audit findings and summaries Creating conversational audit assistants Building end-to-end audit workflows with AI Hands-On Project: Build a Financial Audit Copilot that can review financial data, identify potential issues, generate audit reports, and provide insights through a conversational interface. Learning Outcomes: Understand AI applications in financial auditing Analyze financial data using Code Interpreter Create intelligent audit assistants with Copilot Studio Automate audit reporting and compliance checks Reduce manual effort while improving audit accuracy By the end of this session, participants will have a working AI-powered financial audit solution and a clear understanding of how to apply Copilot Studio and Code Interpreter to real-world finance and compliance scenarios.

9:30 上午 - 10:30 上午 (UTC)

In this practical technical session, you will learn how to build an enterprise Employee HR Policy Assistant using Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, Azure Blob Storage, AI models, and Retrieval-Augmented Generation (RAG). The assistant will securely search approved HR documents such as employee handbooks, leave policies, travel guidelines, reimbursement rules, remote-work policies, and benefits information to provide accurate, contextual, and source-based answers. During the session, you will learn how to: • Store enterprise HR documents securely in Azure Blob Storage. • Index and retrieve policy information using Azure AI Search. • Use semantic, vector, and hybrid search for better document retrieval. • Configure chat and embedding models in Azure AI Foundry. • Build a RAG-based solution that generates grounded answers from company documents. • Create the employee-facing assistant in Microsoft Copilot Studio. • Display citations and source references in generated responses. • Reduce hallucinations by restricting answers to approved HR content. • Extend the assistant with Power Automate for leave requests, travel approvals, reimbursement requests, and HR escalations. • Publish and use the assistant directly within Microsoft Teams. • Apply Microsoft Entra ID authentication, access control, governance, and monitoring. By the end of the session, participants will understand the complete architecture and implementation approach for building a secure, enterprise-ready HR Policy Assistant using Microsoft Power Platform and Azure AI services.