Prompt-based agent builder
Create an agent by choosing a template or describing a business goal. The system configures roles, responses, and data collection without requiring code.
An AI agent platform for building, connecting, and monitoring chat and voice assistants across business channels.
Botnoi AI Chatbot is an all-in-one platform for creating AI chatbots and voicebots for customer communication. Businesses can describe an agent's role and goals, connect it to supported messaging, website, and phone channels, then monitor conversations and analytics from one system. It supports automated responses, information collection, document-grounded answers, and filtering urgent requests for staff follow-up.
Create an agent by choosing a template or describing a business goal. The system configures roles, responses, and data collection without requiring code.
Build teams of role-based agents that work together in workflows for end-to-end automated processes.
Connect an agent to LINE, Facebook Messenger, WhatsApp, Instagram, a website, and phone calls, with channel availability depending on the setup.
Use documents, frequently asked questions, and website content as sources for automated answers, with knowledge updates available from the platform.
Extend agent capabilities by adding, switching, and managing MCP tools with minimal coding.
Track incoming messages, view statistics, analyze conversation data, and use the results to improve an agent.
Handle recurring questions across configured chat and phone channels, provide automated responses, and flag urgent requests for staff follow-up.
A showcased LINE customer integration combines product browsing, cart and payment steps, and a LIFF shopping page. This illustrates a store-connected use case; it does not establish that every Botnoi plan includes its own checkout system.
Deploy the same assistant across a website and social messaging channels so visitors can get information without switching between separate support systems.
Collect relevant customer information during conversations, filter requests by urgency, and help teams focus on higher-priority opportunities.
Use company documents, FAQs, and website content to answer recurring product and policy questions, updating the knowledge base as information changes.
Choose a template or type a prompt to configure an agent, connect channels, and deploy it. The core builder is no-code; extending the agent with MCP tools can involve some coding.
The listed channels include LINE, Facebook Messenger, WhatsApp, Instagram, websites, and phone calls. Available connections may depend on the selected setup.
Yes. The knowledge base and AI Q&A feature can use documents, FAQs, and website content to provide answers.
Yes. The platform provides real-time monitoring, analytics, statistics, and conversation data for ongoing review and improvement.
Review replies against your documents and policies before exposing an agent to customers. After launch, use conversation monitoring and analytics to check responses, handle urgent requests, and improve the agent. Automated answers do not replace staff responsibility for consequential support or sales decisions.
Les données de trafic sont fournies à titre indicatif uniquement.