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Development of an AI-Powered Knowledge Base Chatbot for Public Sector Legal and Customs Queries
  1. case
  2. Development of an AI-Powered Knowledge Base Chatbot for Public Sector Legal and Customs Queries

Development of an AI-Powered Knowledge Base Chatbot for Public Sector Legal and Customs Queries

edvantis.com
Government
Legal
Public Sector

Identifying Challenges in Efficient Public Sector Knowledge Management

The client requires a Proof of Concept to demonstrate how AI can provide fast, accurate answers to complex customs-related questions by utilizing an internal knowledge base. The existing documentation is extensive, making manual retrieval inefficient, and there is a need for an interactive, multilingual chatbot that can assist users in navigating regulations quickly and reliably.

About the Client

A specialized government agency or public institution managing a large repository of regulatory and legal documents related to customs and import/export laws, seeking to implement an AI-driven knowledge assistance platform.

Goals for Developing an AI-Driven Customs Knowledge Chatbot

  • Create a functional prototype demonstrating AI-based retrieval and response generation for public sector customs and legal queries.
  • Implement a retrieval-augmented generation (RAG) framework to ensure accurate, source-cited answers from an extensive document library.
  • Support multiple languages to facilitate international and diverse user access.
  • Design the system to handle large, multi-format document repositories and to be easily manageable by administrators.
  • Ensure seamless integration with existing government or public sector websites or platforms.
  • Guarantee data privacy, conversation context management, and the ability to restart or reset dialogues.

Core Functional Features for AI Customs Knowledge Platform

  • Utilize public sector knowledge base (customs legal documents) for precise, regulation-specific responses.
  • Fallback to embedded AI knowledge model when database information is unavailable.
  • Cite the sources of information where applicable to maintain transparency.
  • Maintain conversation history for contextual follow-up questions.
  • Allow users to restart conversations with prior histories disabled for privacy.
  • Support seven key European languages, with potential for future language addition.
  • Filter user inquiries to ensure relevance to customs, import/export laws, and regulations.
  • Provide an admin interface to add, review, or delete documents in the knowledge repository.
  • Integrate seamlessly into existing websites or testing environments.
  • Support multiple document formats, including DOC, DOCX, PDF, TXT, and HTML.
  • Design for scalability and future integration with alternative AI models.

Preferred Technologies and Architectural Approaches

OpenAI API (or equivalent large language models)
Retrieval-Augmented Generation (RAG) framework
Cloud-hosted knowledge base infrastructure, such as Google Cloud or equivalent cloud services
Multi-language NLP capabilities

Essential External System Integrations

  • Existing knowledge base or document repository for customs and legal documents
  • Website or user interface for access and testing
  • Administrative management system for document control

Non-Functional System Specifications

  • Scalability to handle increasing document volume and user queries
  • Response time within 2-3 seconds for each user query
  • High accuracy and reliability in responses, targeting legal/official information sources
  • Multilingual support for at least seven European languages, with scalability for additional languages
  • Robust security measures to protect sensitive data and user privacy
  • Compliance with data privacy standards and regulations

Projected Business Benefits and Impact of the AI Knowledge Platform

The development of this AI-powered chatbot aims to deliver quick, accurate, and transparent responses to customs-related inquiries, significantly reducing response times and improving user satisfaction. It will enhance the efficiency of knowledge retrieval within the client organization, support multilingual international users, and lay a foundation for scalable, future-proof AI solutions—providing a strategic advantage in digital government services and legal compliance management.

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