LiveChatAI — AI Chatbot for Customer Support (GPT-4o Powered)
LiveChatAI is an AI chatbot platform designed to empower customer support teams by training a GPT-powered bot on your own data. It blends AI-driven automation with human support, enabling instant responses, faster resolution times, and scalable multi-channel engagement across websites, Slack, and WhatsApp.
Key value proposition
- Resolve up to 70% of customer support queries instantly.
- Train the AI with your own data (website content, PDFs, Q&A, etc.) to deliver accurate, brand-consistent responses.
- Seamlessly escalate complex issues to human agents when needed.
- Localize responses in up to 95 languages for global reach.
- Works across multiple channels (website chat, Slack, WhatsApp) and platforms via API integrations.
How LiveChatAI works
- Train AI with your data: import content from your website, PDFs, documents, or Q&A to create a vector-backed knowledge base.
- Deploy a GPT-powered live chat: the AI bot answers questions in real time, drawing on your trained data.
- Handoff to humans when necessary: triage complex issues and hand off to human support without friction.
- Monitor and refine: use analytics to track performance and improve responses over time.
LiveChatAI emphasizes accuracy, security, and brand-aligned conversations, leveraging state-of-the-art OpenAI models (GPT-4, GPT-4o, and 3.5 variants).
Use Cases
- Customer Support: answer common inquiries instantly, reduce ticket load.
- Internal Support: provide quick help to teams using your own documentation.
- E-commerce: deliver product information, order status, and recommendations.
- Education: create a knowledge base chatbot for learners and staff.
How to get started
- Train AI with your data: upload your website content (or provide PDFs/text) to build a tailored knowledge base.
- Create and customize your AI chatbot for any website: generate a chatbot and embed it via iframe or chat bubble. Supports website embedding, Slack, and WhatsApp.
- Preview and test: use the preview mode to test prompts and bot behavior before going live.
- Deploy and monitor: publish to your site and track analytics to optimize performance.
Safety, Privacy & Compliance
- Data never leaves your environment: content is used to train a private model tailored to your data.
- Transparent AI conversations in inbox for monitoring by your team.
- Human handoff ensures high-stakes issues are handled by agents when needed.
Core Features
- Train AI with your own data (websites, PDFs, text, Q&A) and create a customized GPT-powered chatbot.
- Works across multiple channels: Website Chat, Slack, WhatsApp, with an API for other integrations.
- Instant, on-brand AI responses with 95-language instant localization.
- Human handoff: seamless triage and escalation to human support.
- Analytics and insights to monitor performance and improve responses.
- Preview mode to test AI prompts and behavior before publishing.
- Unlimited content import for long-term memory and improved accuracy.
- API access for advanced integrations and automation workflows.
- No required AI expertise: user-friendly setup and maintenance.
Why choose LiveChatAI? (Competitive advantages)
- AI bot that learns from your data to deliver precise, relevant answers.
- Combines AI automation with human support for a balanced, reliable customer experience.
- Scales with your business across channels and languages.
- Transparent conversations and easy monitoring for governance and compliance.
Example customer outcomes
- 70% faster resolution times.
- Significantly reduced support volumes while maintaining satisfaction.
- Improved agent productivity by surfacing relevant data and enabling efficient handoffs.
Pricing & Availability
- Available with flexible plans supporting multiple channels and data sources.
- API enabled for broader platform integration.
Quick Start Demo
- Interactive LiveChatAI Demo available to explore training with your data and testing bot behavior.
Related Resources
- Case studies and testimonials from various industries.
- Blog with guidance on AI chatbots, training data, and best practices.
- Help Center and community resources for self-serve learning.
Safety and Legal Considerations
- Use AI responsibly: verify critical information and provide human support for high-stakes inquiries.
- Ensure data privacy by controlling what content is fed into the model.
- Maintain user trust with transparent AI interactions and clear escalation paths.