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Streamlining & Automating Business Conversations through LLM Agent(s)

Agent Framework Customer Support Sales

Overview

Agent M is an AI-driven LLM framework designed to automate and streamline business conversations by enabling natural language interactions with documents, data, and applications.

Key Features:
  • AI-powered conversational agents for customer support, sales, and help desk automation.
  • Pre-built and customizable skills for various enterprise interactions.
  • Seamless API integration with business applications and cognitive search.
  • Eliminates AI hallucinations through built-in accuracy verification.
  • Supports user session management and real-time orchestration of multiple AI agents.
  • Pre-defined AI agents for CRM, calendar, weather forecasts, and more.


    • Use Cases:
  • Automating customer support and sales enablement with AI-powered chatbots.
  • Optimizing knowledge base search with AI-driven cognitive search capabilities.
  • Streamlining workflows by integrating AI with business applications and APIs.
  • Reducing response times and enhancing real-time customer engagement.
  • Developing AI-driven virtual assistants for finance, healthcare, and logistics.


    • Benefits:
  • Increases efficiency by automating complex business conversations.
  • Reduces operational costs with AI-driven support and sales automation.
  • Enhances user experience with fast, accurate, and contextual AI interactions.
  • Minimizes AI hallucinations with built-in verification and accuracy control.
  • Seamlessly integrates with existing enterprise systems for quick deployment.


    • Capabilities

    • Automates contact center operations with VoiceGPT technology
    • Deploys custom LLM agents via the Agent M framework and Floatbot UNO no-code platform
    • Processes natural language across over 150 languages for multi-lingual interaction
    • Analyzes customer data to identify preferences and drive actionable insights
    • Streamlines insurance claims and First Notice of Loss (FNOL) processes
    • Provides real-time AI assistance for monitoring and managing calls and chats
    • Indexes, analyzes, and enriches unstructured data for enhanced usability
    • Integrates seamlessly with APIs and external systems through a no-code studio
    • Troubleshoots technical issues and escalates service complaints effectively
    • Generates leads, qualifies prospects, and supports sales through upselling/cross-selling
    • Resolves errors and updates service tickets with minimal manual intervention
    • Tracks customer sentiment and ensures compliance with analytics tools
    • Leverages pre-trained AI models tailored to industry-specific needs
    • Orchestrates advanced technologies, including LLMs, NLP, and speech AI, for optimal outcomes
    • Reduces operational costs and increases efficiency with automated workflows

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