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Development of an AI-Powered Internal Support Chatbot to Enhance Employee Efficiency
  1. case
  2. Development of an AI-Powered Internal Support Chatbot to Enhance Employee Efficiency

Development of an AI-Powered Internal Support Chatbot to Enhance Employee Efficiency

effectivesoft.com
Business services
HR & Recruitment
IT Services

Challenges Faced by Growing Organizations in Internal Knowledge Management and Employee Support

The organization is experiencing increased volume of employee inquiries related to HR, IT, and internal processes, coupled with expanding internal knowledge resources. This situation results in operational inefficiencies, longer query resolution times, and delays in employee task completion, stressing departments and reducing overall productivity.

About the Client

A mid-sized corporate organization experiencing growth, seeking to streamline internal communication, process automation, and information access for its employees across departments.

Goals for Implementing an AI Internal Support System

  • Create a 24/7 virtual support system to assist employees by answering inquiries and providing relevant information.
  • Reduce the query processing time for internal questions, improving overall employee productivity.
  • Defer routine support load from HR, IT, and other departments by automating common informational requests.
  • Enable instant, easy access to internal knowledge bases, internal reporting, HR platforms, and communication tools.
  • Automate notifications and reminders regarding work logs, company announcements, holidays, and leave management.
  • Integrate seamlessly with existing internal systems and communication channels.

Core Functionalities for the AI Support Chatbot System

  • Conversational interface enabling human-like interaction for employee inquiries.
  • Integration with internal knowledge base to retrieve procedural instructions, policies, and resource links.
  • Information retrieval for employee data such as the number of employees, sick leaves, birthdays, and leave balances.
  • Reminders and notifications for work logs, company updates, holidays, and celebrations.
  • Functionality to facilitate leave requests and other HR-related operations.
  • Secure hosting within the company's infrastructure to ensure data privacy and compliance.
  • Integration with internal messaging platforms for instant accessibility.

Recommended Technologies and Architectural Approach

Python with LangChain for conversation management
Chroma for vector storage and retrieval
LLM models similar to Llama 3 170b for generative responses
RAG (Retrieval-Augmented Generation) architecture for accurate information retrieval
Deployment within existing corporate infrastructure

Essential System Integrations for Functionality Enhancement

  • Internal knowledge base systems
  • Internal reporting and HR management platforms
  • Employee communication channels (e.g., internal messaging systems)

Non-Functional System Requirements for Performance and Security

  • High availability to ensure 24/7 access with 99.9% uptime
  • Fast response times, ideally under 2 seconds per query
  • Scalable architecture to accommodate increasing user load
  • Strict data privacy and security compliance within the corporate infrastructure
  • Regular updates and improvements for evolving needs and expanded functionalities

Projected Business Benefits and Expected Outcomes of the AI Support System

The implementation of the AI-powered internal support chatbot is anticipated to significantly enhance employee productivity by reducing time spent searching for information. It aims to automate routine inquiries, thereby decreasing support workload on HR, IT, and other departments, and improving response times. Expected results include improved operational efficiency, quicker access to critical information, and better compliance with company policies, ultimately leading to a more agile and responsive organization.

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