Known Online
Known Online
Known Online

ChatFlow AI: chatbot that understands, learns and resolves

Personalized chatbot platform with AI agents for intent classification and humanization. Built on your internal knowledge base with RAG. With management dashboard, metrics and real-time conversations. Versatile for customer care, sales, support and internal management.

ChatFlow AI: chatbot that understands, learns and resolves

Personalized chatbot platform with AI agents for intent classification and humanization. Built on your internal knowledge base with RAG. With management dashboard, metrics and real-time conversations. Versatile for customer care, sales, support and internal management.

ChatFlow AI: chatbot that understands, learns and resolves

Personalized chatbot platform with AI agents for intent classification and humanization. Built on your internal knowledge base with RAG. With management dashboard, metrics and real-time conversations. Versatile for customer care, sales, support and internal management.
Who it is for

For any business that has more inquiries than it can handle

Customer Service Teams

Resolves up to 80% of frequent queries autonomously. Complex cases are escalated to the human agent with the full context of the conversation, eliminating the frustration of repetition.

Ecommerce and Retail

Order status, product inquiries, returns, stock availability and personalized recommendations, all automatically resolved in the chat channel.

Health, Pharma and Regulated Services

Appointments, coverage inquiries, service orientation and referrals, with accurate responses based on internal protocols and full control over what information the bot can and cannot provide.

Companies with Complex Internal Management

Internal assistant for employee queries on HR policies, procedures, technical documentation or any corporate knowledge base that today lives in scattered documents.

Features

More than a chatbot: a conversational AI agent

Intent Classification Agent

Intent classification system that identifies the real purpose of each user’s message, beyond the exact words. Routes each conversation to the correct flow, agent or channel automatically.

Response Humanization Agent

The bot’s responses go through a humanization agent that adapts them to the brand tone, the context of the conversation and the user’s profile. The result is a conversation that feels natural, not robotic.

Knowledge Base with RAG

Build your own knowledge base using Retrieval Augmented Generation (RAG). The bot responds based exclusively on your internal documentation, manuals, FAQs and policies – without hallucinating information that doesn’t exist.

Multichannel Deployment

Publish the chatbot on your website or WhatsApp Business from a single platform. Single setup, multiple touch points.

Intelligent Scaling to Humans

When the bot detects a conversation that requires human intervention (due to complexity, negative emotion or explicit request), it escalates to the human agent with all the history and context of the conversation.

Management and Monitoring Dashboard

Central panel to monitor conversations in real time, review histories, intervene in active conversations, manage the knowledge base and access all performance metrics.

Conversation Analytics

Reports on conversation volume, autonomous resolution rate, most frequent issues, user satisfaction, resolution time and detection of gaps in the knowledge base.

Integration with Internal Systems

Connect the chatbot to your CRM, ERP, ticketing system, customer database and any internal API so that it can query information in real time and execute actions (create tickets, query orders, etc.).

Continuous Agent Training

Feedback loop system to improve the bot from real conversations. Review incorrect answers, adjust the knowledge base and train the agent with real examples from your business.

We are endorsed by our certifications

AI Chatbots

What is RAG and why is it crucial for an enterprise chatbot?

RAG (Retrieval Augmented Generation) is the technique that allows a language model to respond based on specific documents you provide it with, rather than just its general knowledge. For an enterprise chatbot, it is critical because it ensures that responses are accurate, up-to-date and aligned with actual company policies. Without RAG, an AI bot tends to "hallucinate" or give generic answers that may be incorrect or counterproductive to the business. With RAG, the bot can only respond with what you taught it.

How is the knowledge base updated when processes or information change?

The ChatFlow AI knowledge base has a management interface that allows you to add, modify or delete documents in a simple way, without technical intervention. You can upload new versions of documents, policies or FAQs and the system automatically indexes them. Changes are reflected in the bot's responses within minutes. You can also connect the knowledge base to dynamic sources such as your CMS, product database or documentation system to be automatically updated when the source content changes.

How does the bot handle cases it cannot solve?

The ChatFlow AI bot is trained to recognize its own limits. When it detects that a query is outside its knowledge base, that there is a strong expression of disagreement, or that the user explicitly requests a human, it triggers the escalation protocol: it informs the user that it will connect them to an agent, moves the conversation to the management dashboard with all history and context, and notifies the care team. The human agent can take over the conversation without the user having to repeat himself, which significantly improves the escalation experience.

Can it be configured so that the bot does not respond on certain topics?

Yes, it is a core functionality of the platform. You can define topics outside the bot's scope (legal questions, crisis situations, sensitive topics), and for those conversations the system immediately escalates to a human without attempting to respond. You can also configure the minimum confidence level that the bot must have before responding: if confidence is low, it prefers to escalate rather than risk giving a wrong answer. This control is especially important in regulated industries such as healthcare, finance or legal services.

Customers

They trust us

Success stories

How we help brands stand out and grow in search engines and AI engines

Contact

We help you to keep growing