Overview of MangoApps AI Studio

Introduction

MangoApps AI Studio is a centralized platform that integrates artificial intelligence services across existing systems. It enables AI Assistants to utilize the knowledge you have already unified in MangoApps to improve search capabilities, employee self-service, and more. It consolidates AI Assistants, Agents, and tools in a single location, making them easy to access and use for daily tasks. By combining your enterprise-specific data with advanced AI capabilities, MangoApps AI Studio improves workflows, reduces repetitive tasks, and increases efficiency across departments.


How Does the MangoApps AI Work?

AI Assistants Trained on Enterprise Data: MangoApps AI Studio leverages Retrieval-Augmented Generation (RAG), which enables the AI to respond with your company’s unique data, ensuring responses are accurate and contextually relevant. This approach enhances operational efficiency while maintaining data security.

  • Provides precise answers drawn from enterprise resources such as policy wikis, workspace knowledge basis, and uploaded documentation.


Integration of the AI into Active Domains: The AI Studio integrates with your existing IT infrastructure and workflows, minimizing disruptions during implementation and ensuring smooth operations.

  • Compatible with current systems and processes, requiring minimal additional setup.

  • Scales to match organizational growth and evolving needs.

  • Enhances workflows with AI capabilities tailored to enterprise requirements.


Data Access Controls: MangoApps ensures data privacy and security by keeping sensitive information within the organization’s control.

  • Data Sovereignty: MangoApps AI Studio is designed with a security-first architecture, guaranteeing that corporate data is safeguarded and never used to train large language models (LLMs). This ensures that your data remains within your control and is not exposed to external entities.

  • Access Control: Administrators have the ability to configure permissions for AI agent workflows, ensuring that only authorized personnel can access and manage AI-related activities. This includes setting up who can view, edit, and manage the AI assistants and their outputs.

  • Data Governance: MangoApps emphasizes data governance, allowing enterprises to manage their company-wide and team-specific content. This helps in turning scattered information into actionable insights while maintaining strict control over data usage and access.


AI Studio User Analytics: MangoApps AI Studio provides IT teams with detailed insights into AI usage for management and optimization of resources within the company domain.

  • Tracks usage metrics, including prompts and responses, to identify patterns and areas for improvement.

  • Ensures compliance with internal policies and regulatory requirements through moderation.


Enterprise Use Cases

  • Knowledge Discovery: Employees can use an AI Assistant to quickly find answers to questions about company policies, projects, workflows, and resources, reducing time wasted finding information.

  • HR Support: AI Assistants and Agents can manage common HR inquiries, such as questions about benefits, leave policies, and compliance requirements. This reduces repetitive workloads for HR teams.

  • IT Support: AI Assistants and Agents help with troubleshooting, system access requests, and ticketing processes, improving response times and reducing IT team workloads.

  • General Assistance: Employees can use AI Assistants and Agents for tasks like drafting emails, summarizing documents, complete repetitive tasks, or brainstorming ideas.


Getting Started

To implement MangoApps AI Studio, contact your Account Management team. The onboarding process involves:

  • Identifying specific use cases and determining licensing requirements.

  • Ensuring knowledge bases are centralized and prepared.

  • Training on deployment and usage of AI Assistants, both admin and end-user.

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