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    Nous’ AI-Powered Customer Support: 4-Week PoC

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    Sold by: NOUS Infosystems Inc. 
    Nous' AI-Powered Customer Support enhances satisfaction and retention through an AI-driven intelligent agent, offering real-time, personalized support while reducing operational costs

    Overview

    Nous’ 4-week AI-Powered Customer Support Proof of Concept (PoC) leverages Amazon Bedrock to deploy AI-driven intelligent virtual agents that enhance customer satisfaction, automate responses, and optimize ticket resolution. This structured PoC helps businesses integrate AI-based support into their existing customer service platforms, ensuring improved efficiency and reduced costs.

    Key Action Items

    Week 1: Assessment & Requirement Gathering – Define business goals, KPIs, and PoC scope. Analyze historical ticket data and customer interactions. Week 2: Technical Setup & Integration – Set up Amazon Bedrock, integrate with CRM and ticketing systems, and prepare training datasets. Week 3: Model Training & Deployment – Train AI models with NLP capabilities, implement in a test environment, and refine based on real-time feedback. Week 4: Performance Review & Optimization – Evaluate AI performance against KPIs, provide scaling recommendations, and optimize workflows.

    Deliverables

    1. System Architecture & Workflow Documentation – A detailed guide to AI integration.
    2. Custom AI Models – AI models trained on Amazon Bedrock, tailored to business needs.
    3. Functional AI Prototype – A working version of AI-driven customer support in a test environment.
    4. PoC Results & ROI Analysis – Insights, performance evaluation, and future recommendations

    Highlights

    • AI-powered virtual agents for real-time customer support.
    • A structured 4-week PoC framework for seamless AI integration
    • Scalable and cost-effective AI-driven customer service solutions

    Details

    Sold by
    NOUS Infosystems Inc. 
    Categories
    ML Solutions 
    Generative AI 
    Managed Services 
    Delivery method
    Deployed on AWS

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