HoverBot
AI-Powered Chatbots That Work for You
HoverBot is a comprehensive chatbot management platform designed for businesses that need more than just a generic AI assistant. It enables organizations to create, customize, and manage AI-powered chatbots tailored to their specific products, services, and workflows. With HoverBot, businesses can build chatbots that are not only accurate and responsive but also fully compliant with data privacy regulations like GDPR and CCPA.
The platform provides a flexible configuration interface where teams can define chatbot appearance, tone of voice, knowledge sources, and interaction flows. Businesses can integrate their own knowledge bases through files, URLs, and direct text inputs, ensuring the chatbot always delivers accurate and up-to-date information. HoverBot’s modular AI skill system allows companies to enable advanced functionalities such as lead qualification, product support, and document retrieval, turning simple bots into intelligent business assistants.
HoverBot also features guardrail systems, including AI-driven classifiers and PII masking tools, to ensure sensitive data is handled securely and conversations stay within approved boundaries. The admin dashboard offers real-time monitoring, analytics, and feedback loops, allowing teams to track usage, analyze unhandled queries, and continuously improve chatbot performance.
Whether you’re an SMB looking to automate customer support, a marketing team aiming to generate leads, or an enterprise needing compliance-first AI assistants, HoverBot provides a no-code, scalable solution that adapts to your business needs.
With HoverBot, businesses regain control over their AI chatbots, no more black-box AI responses, no more copy-paste bot templates. Just tailored conversations that align with your brand and deliver real value.
Features
- Grounded answers via RAG (files, text, URLs) with accurate citations
- Confidence threshold + safe fallback; auto-route to human when unsure
- Guardrails with ML classifiers (block off-topic/unsafe queries)
- PII analyzer to mask/unmask sensitive data around LLM calls
- Multilingual and channel-aware behavior (web, WhatsApp, email)
- Escalation ladder: live handoff, email/WhatsApp summaries, ticket creation via API
- Modular agent skills: lead capture, product support, FAQ, booking, and more
- Config UI to create flows, tune prompts, and manage per-client settings
- Multi-tenant architecture with team roles and permissions
Use Cases
- Website concierge + lead capture (answers, qualifies, pushes to CRM)
- Sales assist & demo Q&A (books meetings, smooth human handoff)
- Support triage & ticketing (classify, grounded answers, escalate)
- Order/account self-service (status, returns, exchanges, plan changes)
- Billing help (invoice copy, payment issues, refunds)
- Onboarding coach (guided setup, checklists, reminders)
- In-product help (contextual tips from latest docs/release notes)
- Internal HR/IT helpdesk (policies, access requests, device issues)
- Appointment booking & reminders (calendar integration, Zoom/Meet links)
- Analytics & feedback loops (deflection, CSAT/NPS, doc-gap insights)
Comments
We built HoverBot after watching too many customer bots fail at the human stuff: greetings with no question, “thanks!” mid flow, mixed languages, and low-signal inputs at 2am. Instead of chasing a bigger model, we focused on routing and guardrails: social-intent handling, confidence thresholds, grounded answers from your docs, and a fail-well ladder that never dead ends. On the builder side, we made the tool we wanted ourselves: clear analytics, Unseeded questions to find gaps, prompt versioning, and simple cleanup and re-index. Setup is fast: connect your docs, pick a few skills like support or lead capture, choose escalation, and you are live. We’d love your feedback. Which use cases matter most for you? What integrations should we prioritize? Try it and tell us where it breaks. Our goal is a bot you can trust to say “I don’t know” when it should, and still help your customer get to an answer.
This looks like the solution many businesses have been waiting for. The biggest challenge with most chatbots is their generic, "black-box" nature. HoverBot's focus on deep customization, integrating a company's own knowledge base, and providing robust compliance guardrails is a true game-changer. This isn't just about answering questions; it's about creating a reliable, on-brand AI assistant that businesses can actually control.
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Comments
We built HoverBot after watching too many customer bots fail at the human stuff: greetings with no question, “thanks!” mid flow, mixed languages, and low-signal inputs at 2am. Instead of chasing a bigger model, we focused on routing and guardrails: social-intent handling, confidence thresholds, grounded answers from your docs, and a fail-well ladder that never dead ends. On the builder side, we made the tool we wanted ourselves: clear analytics, Unseeded questions to find gaps, prompt versioning, and simple cleanup and re-index. Setup is fast: connect your docs, pick a few skills like support or lead capture, choose escalation, and you are live. We’d love your feedback. Which use cases matter most for you? What integrations should we prioritize? Try it and tell us where it breaks. Our goal is a bot you can trust to say “I don’t know” when it should, and still help your customer get to an answer.
This looks like the solution many businesses have been waiting for. The biggest challenge with most chatbots is their generic, "black-box" nature. HoverBot's focus on deep customization, integrating a company's own knowledge base, and providing robust compliance guardrails is a true game-changer. This isn't just about answering questions; it's about creating a reliable, on-brand AI assistant that businesses can actually control.
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