What is Ebi AI?
Ebi AI is an AI customer service platform and AI chatbot builder that lets businesses create, deploy, and manage AI assistants across digital channels. Companies use it to handle customer queries automatically, reducing the load on human support teams. It covers the full workflow — from building a chatbot using an existing website or company documents, to training it, monitoring performance, and escalating complex conversations to live agents.
Features & Benefits
- Website AI chatbot builder – Create a trained AI assistant from a website URL and deploy it within minutes, no manual setup required.
- Document-based chatbot training – Upload company documents to train the assistant on specific business knowledge using Retrieval-Augmented Generation (RAG).
- Text, card, button, and multiple-choice responses – Generate replies in various formats including text bubbles, image cards, carousels, web link buttons, and branching conversation paths.
- 130+ language support – Read and respond to customer messages in more than 130 languages, including slang and dialect variations.
- LLM-powered response generation – Use large language models including OpenAI GPT with guardrails to generate and expand assistant responses.
- Natural Language Processing (NLP) – Recognize and interpret free-form customer queries without requiring structured input.
- Editable and draft responses – Review, edit, reject, or save AI-generated responses before they go live, keeping messaging consistent.
- Automated training suggestions – Receive real-time recommendations for new responses based on incoming customer queries.
- Multi-channel deployment – Run one AI assistant across a website, WhatsApp, Facebook Messenger, Microsoft Teams, phone lines, and other channels simultaneously.
- Live chat with unlimited seats – Hand off conversations to human agents when queries are sensitive, unusual, or unresolved.
- Conversation routing – Gather information from users mid-chat and route them down different paths based on their answers.
- QR codes – Direct customers to specific chat conversations from physical or digital locations.
- Chatbot customization – Set a name, avatar, brand colors, and logo; add images, links, and buttons to chat responses.
- Performance dashboard – Monitor conversation count, success rate, popular topics, busiest times, and channel-level data in one place.
- Conversation review with PII redaction – Inspect full conversation logs with all personally identifiable information automatically removed.
- Conversation export – Export conversation data for external reporting and analysis.
- App and API integrations – Connect to tools like Zapier, HubSpot, and Jira, or build custom connectors to internal business systems.
- Multiple chatbot management – Build and manage separate assistants for internal use, external customers, or multiple agency clients.
- Industry templates – Start with pre-trained chatbots built for specific sectors.
- Choice of LLM – Select from AI models across OpenAI, Google, Meta, Microsoft, Anthropic, and Hugging Face depending on the use case.
- Dialog engine – Handles entity detection, conversation digressions, and user feedback.
- Private AI workspaces – Build, test, and deploy chatbots in a secure, isolated environment.
- Role-based access control with two-factor authentication – Restrict platform access by user role with admin-controlled permissions.
Real-World Applications
A growing e-commerce business might use Ebi AI as an AI customer service tool to handle high volumes of order status, returns, and product questions without scaling its support headcount. The website AI chatbot builder lets the team train an assistant directly from their existing site, then deploy it on both the website and WhatsApp — covering customers wherever they prefer to reach out.
A financial services company operating across multiple countries may need multilingual AI customer service that handles queries in each customer’s native language automatically. The platform’s 130+ language support combined with GDPR compliance and enterprise-grade security can make it a practical fit for regulated industries where accuracy and data handling standards are non-negotiable.
Agencies managing customer service infrastructure for multiple clients might use the AI chatbot builder to create and maintain separate branded assistants for each client within one platform. The ability to handle multiple chatbots, apply per-client customization, and monitor performance across channels could significantly reduce the overhead of running AI-powered support at scale.
Internal support teams can also benefit from the platform. An HR or IT department might deploy a private assistant to answer employee questions about policies, processes, or systems — connecting it to tools like Jira for ticket creation or HubSpot for CRM updates, so the chatbot handles more than just answering questions.
