# HoverBot - Complete Product Guide > Intelligent AI Chatbot Management Platform **Website**: https://www.hoverbot.ai **Demo Portal**: https://demo.hoverbot.ai **App**: https://app.hoverbot.ai --- ## Executive Summary HoverBot is an AI chatbot management platform designed for businesses that need production-ready conversational AI with enterprise controls. It combines large language model capabilities with retrieval-augmented generation (RAG), safety guardrails, and multi-channel deployment to create chatbots that are accurate, compliant, and effective. Unlike generic chatbot builders, HoverBot focuses on: - **Accuracy over fluency**: Responses are grounded in your knowledge base, not fabricated - **Safety by default**: PII protection, topic boundaries, and content filters are built-in - **Measurable outcomes**: Analytics focused on deflection rates, lead capture, and resolution --- ## Product Capabilities ### Core Features #### 1. AI-Powered Conversations - Large language model integration (GPT-4, Claude, and others) - Context-aware responses with conversation memory - Multi-turn dialogue handling - Natural language understanding for intent detection #### 2. Knowledge Base Management - Document upload (PDF, DOCX, HTML, Markdown) - Website content ingestion - FAQ and knowledge article management - Automatic chunking and embedding for RAG - Real-time content updates #### 3. Guardrails and Safety - **PII Protection**: Automatic detection and masking of personal data - **Topic Boundaries**: Restrict conversations to relevant subjects - **Content Filters**: Block inappropriate or off-brand responses - **Hallucination Prevention**: RAG-grounded responses with confidence scores - **Human Escalation**: Automatic handoff when confidence is low #### 4. Skills Framework Modular capabilities that can be enabled per chatbot: - **Intent Detection**: Identify user goals and route appropriately - **Lead Capture**: Collect contact information through conversation - **Promotional Messaging**: Share offers and announcements contextually - **Appointment Booking**: Schedule meetings and demos - **CRM Sync**: Update customer records from conversations #### 5. Multi-Channel Deployment - **Website Widget**: JavaScript embed with full customization - **WhatsApp Business**: Native integration via BSPs - **API Access**: Build custom integrations and experiences #### 6. Analytics and Insights - Conversation volume and resolution metrics - Common questions and unanswered queries - Lead capture and conversion tracking - Agent performance and handoff rates - Sentiment analysis ### Enterprise Features #### Compliance and Security - GDPR and PDPA compliance - Data residency controls (Singapore, EU, US) - SOC 2 Type II (in progress) - Audit logging and access controls - Single sign-on (SSO) support #### Team Collaboration - Role-based access control - Multiple chatbot management - Shared knowledge bases - Workflow approval for content changes #### Integrations - Zendesk (helpdesk) - Intercom (live chat) - HubSpot (CRM) - Custom webhooks - REST API --- ## Use Cases ### Customer Support Automation **Problem**: Support teams are overwhelmed with repetitive questions **Solution**: HoverBot deflects 30-50% of tickets by answering common queries accurately **How it works**: 1. Ingest support documentation and FAQs 2. Enable guardrails to prevent off-topic responses 3. Configure escalation rules for complex issues 4. Monitor unanswered questions to improve knowledge base ### Lead Qualification **Problem**: Sales teams waste time on unqualified leads **Solution**: HoverBot engages visitors, qualifies interest, and captures contact info **How it works**: 1. Enable lead capture skill 2. Configure qualification questions 3. Integrate with CRM for lead routing 4. Track conversion metrics ### Product Guidance **Problem**: Complex product catalogs confuse visitors **Solution**: Chat-to-buy flows that guide customers to the right product **How it works**: 1. Upload product catalog and specifications 2. Configure constraint matching (budget, requirements, compatibility) 3. Generate dynamic suggestion chips 4. Track product-specific engagement ### Knowledge Base Chat **Problem**: Documentation is hard to navigate **Solution**: Conversational access to technical content **How it works**: 1. Ingest documentation from multiple sources 2. Enable semantic search across content 3. Provide contextual answers with source citations 4. Track common queries to identify gaps --- ## Implementation ### Getting Started 1. **Sign up** at https://app.hoverbot.ai/signup 2. **Create a chatbot** with basic configuration 3. **Add knowledge** by uploading documents or connecting website 4. **Configure guardrails** for safety and topic boundaries 5. **Test** in the preview environment 6. **Deploy** with a JavaScript snippet ### Timeline - Basic deployment: 1-3 days - Full implementation with integrations: 7-14 days - Enterprise rollout with custom features: 2-4 weeks ### Technical Requirements - Modern web browser for admin dashboard - JavaScript-enabled website for chat widget - WhatsApp Business account for messaging integration --- ## Pricing HoverBot offers flexible pricing based on conversation volume and features. Contact sales for a customized quote. **Request pricing**: https://www.hoverbot.ai/request-demo --- ## Frequently Asked Questions ### How easy is it to install HoverBot on my website? Installing HoverBot is simple. Just add our lightweight JavaScript snippet to your website, and you're ready to go. No coding experience is required. We also offer plugins for popular platforms like WordPress, Shopify, and Webflow. ### How accurate is the AI in understanding customer queries? HoverBot uses advanced machine learning (ML) and natural language processing (NLP) to understand queries with high accuracy. It is powered by large language models (LLMs) and trained on custom datasets to provide context-aware responses. You can also train it on your specific knowledge base to enhance accuracy for your business. ### Can HoverBot integrate with my existing CRM system? Currently, HoverBot does not integrate with CRMs, but we plan to introduce CRM plugins in the future. This will allow seamless lead tracking and data synchronization with platforms like Salesforce, HubSpot, and Zoho. ### How does HoverBot handle sensitive customer information? HoverBot prioritizes security and privacy. Our trained ML models automatically mask personally identifiable information (PII) before sending data to the LLM, ensuring that no sensitive data is shared outside HoverBot. We leverage industry leading cloud providers, including Amazon Web Services and Microsoft Azure, to securely store and process your data. Our robust encryption protocols ensure data confidentiality and protect against unauthorized access. ### Can I customize the appearance of the chatbot to match my brand? HoverBot is fully customizable to match your brand's colors, fonts, and style. You can also configure the chat widget's position, size, and behavior to create a seamless user experience. ### What languages does HoverBot support? HoverBot supports multiple languages including English, Chinese (Simplified and Traditional), Malay, Tamil, Japanese, Korean, and more. Multi-language support is available for both the chat interface and knowledge base content. ### How does HoverBot compare to other chatbot platforms? HoverBot differentiates through its focus on accuracy (RAG-grounded responses), safety (built-in guardrails and PII protection), and enterprise readiness (compliance, integrations, and team features). Unlike generic chatbot builders, HoverBot is designed for production customer-facing deployments. ### Can HoverBot handle complex multi-step conversations? Yes. HoverBot maintains conversation context across multiple turns and can guide users through complex workflows like product selection, appointment booking, or issue resolution. --- ## Blog and Resources HoverBot publishes technical guides and best practices for AI chatbot implementation: - **Multilingual RAG Architecture**: Best practices for multi-language knowledge retrieval - **PII Protection Patterns**: Seven production-tested patterns for handling personal data - **Smart Routing Architecture**: How to route requests to the right model based on complexity - **Close the Loop Analytics**: Building feedback systems that improve chatbot accuracy - **Chat-to-Buy Flows**: Technical guide for conversational commerce Full blog: https://www.hoverbot.ai/blog --- ## Company Information **Company Name**: HoverBot **Founded**: 2024 **Headquarters**: Singapore **Industry**: Artificial Intelligence, Customer Service Technology **Target Market**: Enterprise and SMB businesses requiring AI-powered customer engagement ### Links - Website: https://www.hoverbot.ai - Blog: https://www.hoverbot.ai/blog - Demo Portal: https://demo.hoverbot.ai - Contact: https://www.hoverbot.ai/contact - Request Demo: https://www.hoverbot.ai/request-demo ### Social - Twitter: https://twitter.com/hoverbotai - LinkedIn: https://www.linkedin.com/company/hoverbotai/ --- ## Machine-Readable Resources For programmatic access to HoverBot information: - **Structured Facts**: https://www.hoverbot.ai/facts.json - **Blog Feed (JSON)**: https://www.hoverbot.ai/feed.json - **Blog Feed (RSS)**: https://www.hoverbot.ai/feed.xml - **Sitemap**: https://www.hoverbot.ai/sitemap.xml - **Content API**: https://www.hoverbot.ai/api/content --- ## License This document is available under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Attribution to HoverBot (https://www.hoverbot.ai) is appreciated when citing this content. Last updated: 2025-01-08