boost.ai's Generative AI solution integrates the power of large language models (LLMs) like GPT-4 with the efficiency and scalability of its existing conversational AI platform. This hybrid approach creates AI agents that deliver highly personalized and automated customer experiences while maintaining strict enterprise-level control and safety standards. The platform offers higher accuracy through its combined system, increased control by leveraging the strengths of both traditional conversational AI and generative AI without inherent risks, and cost-effectiveness by directing high-traffic interactions to the more efficient conversational AI and using generative AI for other areas. Four key pillars—Knowledge, Guardrails, API Hooks, and Action Hooks—ensure the Virtual Agent functions as intended. The "Knowledge" pillar allows for easy and secure setup by utilizing existing company content and data, employing LLM prompt engineering and Retrieval Augmented Generation (RAG) to guide responses. For customer service agents, LLM-empowered features enhance productivity and customer service, including seamless handover summaries of customer interactions, answer rewriting, and canned responses. The AI trainer tools are designed for creativity and control, offering features like content suggestion, training data management, content rewriting, translation, and synonym suggestion, enabling the virtual agent to generate on-brand and relevant replies sourced directly from website content.

Features & Benefits

• Hybrid AI System: Achieves higher accuracy by combining LLMs with traditional conversational AI.
• Enhanced Control & Safety: Maintains enterprise standards and mitigates risks associated with generative AI.
• Cost Optimization: Reduces costs by intelligently allocating high-traffic areas to conversational AI.
• Streamlined Setup & Integration: Leverages existing knowledge bases and RAG for quick, secure deployment.
• Agent Productivity Tools: Offers handover summaries, answer rewriting, and content suggestions for improved customer service.