Zensar's Business Avatar - Omni-channel human touchpoint automation

Business Avatar, part of Zensar’s ECHO (Enterprise Cognitive Hyper-Automated Operations) utilizes Amazon bedrock and Sagemaker for intelligent, human-like interactions, real-time data retrieval, automated task management, and personalized support. The solution integrates enterprise data from diverse sources and preprocesses it using various techniques like Noise removal, OCR, Scraping, and Document splitting. Solution seemlessly works with any Vector DB, providing robust support for multi-indexing, semantic search, metadata-based filters, and multi-modal search

Features Customizable framework - A flexible framework that can be tailored to specific industry and business needs. Generative AI capabilities - Utilizes advanced AI to generate responses, understand context, and provide intelligent assistance. Industry-specific solutions - Designed to cater to the unique requirements of various industries, including healthcare, finance, retail, and more. Seamless integration - Easily integrates with existing enterprise systems and workflows. Continuous learning - Continuously learns and adapts to improve performance over time.

Key differentiators Provides a comprehensive strategic playbook for implementing business avatars, ensuring a structured and effective approach Specifically infused with generative AI to enhance the intelligence and adaptability of the assistants Offers highly customized solutions that address the specific needs and challenges across industries Acts as an accelerator, speeding up the development and deployment of business avatars

Unique Value Proposition Enable domain specific answers, reduce hallucinations Conversational chain for contextual response Generate multi-modal insightful responses Cost Optimization Framework with semantic caching Testing framework specific to RAG applications MACH driven architectural design Accelerated Time to market with pre-built components Battle Tested Solution & secured design Responsible AI Framework & Strategy Domain specific prompt templates LLMOPS & framework for reduced hallucination Supports Bring your own model