Skip to main content

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 and apply intelligent agents, this tutorial presents two progressive, typical practice cases, covering the complete path from a basic Q&A assistant to a complex business process agent. By studying these two cases, users will fully master how to choose the appropriate building method according to actual business needs, enhancing their capabilities in digital intelligent work.

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

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

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

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

  • Knowledge base integration and management
  • Agent capability configuration and debugging
  • Optimization of question recognition and answer matching mechanisms

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 via Workflow​

When business requirements go beyond simple Q&A, such as operating across multiple systems and handling multi-step business logic, agents built with basic methods are no longer sufficient. At this point, you can leverage the Workflow mechanism provided by SERVICEME NEXT to achieve more advanced intelligent agent capabilities.

This case will guide users through a real business process example to build an intelligent agent with abilities such as "judgment, decision-making, invoking 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 scenarios such as complex form approval, automated data processing, and cross-system task orchestration, making it 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 automated Q&A to automated execution.