Fini
Fini is a powerful AI chatbot tool that enables companies to engage and retain more users through 24/7 interactive chat support, powered by their own knowledge base.
What is it
Fini is an AI chatbot tool that helps companies improve user engagement and retention by providing seamless and interactive chat support. By leveraging their knowledge base, Fini delivers personalized and timely customer assistance.
Key features
Fini offers multiple key features:
- Easy Deployment: No coding or integration required. Deploy Fini by sharing a link to your knowledge base.
- Customization: Configure the tone and style of your AI assistant to match your brand's voice and identity.
- Seamless Human Routing: When the AI assistant encounters complex queries, it can seamlessly transfer the conversation to a human agent.
- Multi-Channel Support: Integrate Fini across multiple channels, including Intercom, Slack, and Discord.
- Growth Insights: Utilize AI to pinpoint reasons for customer churn and deliver personalized experiences to retain customers.
Pros
- Enhanced user engagement and retention.
- Streamlined customer support.
- Identify churn reasons and retain customers.
Cons
- May not fully replace human agents for complex queries.
- Requires comprehensive knowledge base for effective responses.
Summary
Fini provides companies with a powerful AI chatbot tool that enhances user engagement, retention, and growth. Its user-friendly deployment, customization options, seamless human routing, multi-channel support, and growth insights make it an effective solution for businesses looking to improve customer experiences. While it may not completely replace human agents for complex queries and relies on a well-maintained knowledge base, Fini offers a comprehensive approach toæå user engagement and driving business growth.
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Licode comes with built-in AI infrastructure that allows you to easily craft a prompt, and use any Large Lanaguage Model (LLM) like Google Gemini, OpenAI GPTs, and Anthropic Claude.
Supplies knolwedge to AI
Licode has a built-in RAG (Retrieval-Augmented Generation) system to retrieve knowledge for your choice of LLMs in your app.
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