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MangoApps AI Guide
MangoApps AI Guide
  • 🥭MangoApps AI Guide
  • Overview
    • Overview of MangoApps AI Studio
    • Introduction to AI Assistants
      • HR Support AI Assistant Use Case
      • Company Knowledge AI Assistant Use Case
      • IT Support AI Assistant Use Case
  • User Portal
    • User Getting Started
    • 🆕AI Assistants
      • 🆕Using AI Assistants
      • 🆕Out of the Box AI Assistants
    • AI Agents
      • Out of the Box AI Agents
      • Using AI Agents in Trackers
  • Admin Portal
    • Admin Getting Started
    • AI Admin Role
    • 🆕AI Studio Module
      • 🆕AI Studio Insights
      • AI Assistants
        • Create an Assistant
        • 🆕Writing Instructions for AI Assistants
        • Use Case Examples
          • Setting up an HR Support AI Assistant
          • Setting up an IT Support AI Assistant
      • AI Agents
        • Create an Agent
      • AI Service Providers
      • Templates
      • 🆕AI Settings
    • Understanding Your Knowledge Base
    • Navigation Menu
    • Widget
  • Bring Your Own Assistant
    • 🆕Custom Embed Assistant (BYOA)
    • Integration with AWS Bedrock
  • External Knowledge Bases
    • 🆕Overview of External Knowledge Bases
    • 🆕Knowledge Base: Confluence (Basic Authentication)
    • 🆕Knowledge Base: Confluence (OAuth 2.0 Authentication)
    • 🆕Knowledge Base: SharePoint
    • 🆕Web Page Crawler
  • Mobile
    • Download the App
  • Additional Resources
    • AI Studio by MangoApps
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On this page
  • Overview
  • The Need for AI Assistants
  • What Are AI Assistants?
  • How AI Assistants Work
  • Key Benefits of AI Assistants
  • Real-World Applications
  1. Overview

Introduction to AI Assistants

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Last updated 3 months ago

Overview

AI Assistants, powered by MangoApps AI Studio, deliver real-time, contextual answers and task support. These tools act as virtual employees, integrating with your organization’s systems, knowledge bases, and workflows. By automating repetitive tasks, they help employees focus on core responsibilities.


The Need for AI Assistants

Employees often face inefficiencies caused by switching between apps and systems to find information or support. This disrupts focus and generates repetitive help requests, which overburden HR, IT, and other support teams.

AI Assistants centralize access to information and automate repetitive tasks. Built within MangoApps AI Studio, they use enterprise data to provide accurate, on-demand support, reducing dependency on support teams and improving productivity.


What Are AI Assistants?

AI Assistants replicate subject matter expertise using generative AI and company-specific data. Their key features include:

  • Contextual Knowledge: Use curated knowledge from internal policies, technical documentation, and past support tickets.

  • Task-Oriented: Complete tasks, make decisions, and guide employees through processes based on established protocols.

  • Customizable: Adapt to your company’s specific needs and workflows.


How AI Assistants Work

AI Assistants use Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG):

  • Large Language Models (LLMs): Understand natural language questions and interpret employee intent for accurate responses.

  • Retrieval-Augmented Generation (RAG): Retrieve specific, contextual information from enterprise data.

These technologies enable AI Assistants to process queries, provide answers, and perform tasks within existing systems.


Key Benefits of AI Assistants

AI Assistants improve efficiency and reduce operational strain:

  • Productivity: Automate repetitive inquiries and tasks, allowing employees to focus on important work.

  • Response Times: Provide instant answers and task support, reducing delays.

  • Scalability: Handle increased inquiry volumes without additional staff.

  • Customization and Security: Operate within secure infrastructures and align with workflows.


Real-World Applications

AI Assistants streamline workflows across departments:

  • HR Support: Address routine inquiries about policies, benefits, and procedures.

  • IT Assistance: Automate troubleshooting, software installations, and access requests.

  • Finance Operations: Guide employees through expense submissions and compliance processes.

  • Operational Tasks: Provide step-by-step guidance on standard operating procedures.