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Practical Tutorial

Practical Tutorial Overview: A Step-by-Step Guide to Building Intelligent Agents from Beginner to Advanced​

To help users gain an in-depth understanding of how to build intelligent agents and apply them in practice, this tutorial designs two progressive typical practical cases, covering the complete building path from basic Q&A assistants to complex business process assistants. By studying these two cases, users will comprehensively master how to choose the appropriate construction method according to actual business needs, enhancing their digital intelligence work capabilities.

🧩 Case 1: Building a Simple Knowledge Q&A Agent from Scratch​

This case is aimed at beginners and focuses on how to create an intelligent Q&A agent based on a knowledge base from scratch. This agent can automatically retrieve information from the enterprise knowledge base and intelligently respond to user questions, thereby improving knowledge acquisition efficiency.

In specific scenarios, such as M365 operation and maintenance engineers who often need to consult a large number of technical documents, operation guides, and fault cases during daily operations. Facing a wide variety of scattered document resources, manual searching is often inefficient and prone to repetitive work.

Through the guidance of this tutorial, users will learn how to quickly build a usable intelligent Q&A assistant with the SERVICEME NEXT platform and complete:

  • Knowledge base integration and management
  • Agent capability configuration and debugging
  • Question recognition and answer matching mechanism optimization

This agent can be widely applied in scenarios such as internal IT support, employee self-service, and training material retrieval within enterprises.

🧠 Case 2: Building a Complex Business Process Agent through Workflow​

When business needs go beyond simple Q&A, such as requiring operations across multiple systems and handling multi-step business logic, agents created by basic methods are no longer sufficient. At this time, the Workflow mechanism provided by SERVICEME NEXT can be used to achieve higher-level intelligent agent capabilities.

This case will guide users through a practical business process example to build an intelligent agent with capabilities such as “judgment, decision-making, calling external services, and loop execution,” covering the following key capabilities:

  • Workflow node configuration and connection methods
  • Conditional judgment and data processing
  • Multi-system integration and task chain management
  • Failure handling and exception branch design

This type of agent is suitable for complex form approvals, automated data processing, cross-system task orchestration, and other scenarios, serving as an important tool in enterprise intelligent transformation.

Through these two practical tutorials, users will gradually establish a systematic understanding of intelligent agent construction methods and be able to flexibly choose technical paths according to their own business scenarios, achieving an intelligent leap from automatic Q&A to automatic execution.