Use the power of AI to improve customer engagement
Unlock the full potential of artificial intelligence with our No-code solution that seamlessly integrates with OpenAI’s ChatGPT. WeConnect.chat empowers you to harness the power of AI and enhance your customer interactions and streamline information retrieval.
Customer Engagement platform
Blend AI Chatbots with Human Connection
chatGPT integration
Our AI chatbot builder allows you to connect easily with chatGPT and provide AI powered responses to users queries on chatbot.
Deploy AI in 3 easy steps
Combine AI with rule based chats
Analyse AI chat history

Train AI with custom data
Train AI model with data from multiple sources like Web, Files, Free Text and Manual Q&A. Combine variety of data to suite your use case.
Multiple data format support
Reuse and retrain the pre-trained model
Intuitive UI for easy data upload

Configure and Deploy AI model
Our openAI chatGPT integration setup provides an intuitive UI to configure all possible parameters required to finetune the chatGPT responses.
Choose multiple LLM models from openAI
Tailor the AI prompt to suit your use case
Edit and update the parameters anytime

Fallback to Human Handover
AI cannot replace humans therefore we offer a fallback mechanism to connect to Human agent in case user is not happy with AI responses or need specific details from an agent.
Continue AI chat with back to back questions
Connect to Agent for live chat / video call
Switch AI to Rule based conversation

key features
chatGPT integration
Custom train AI Model
Multiple data source
Easy training UI
Configure AI parameters
Reuse trained models
GPT 3.5 Model
GPT 4 Model
Use your API key
Fallback to Human
Back 2 Back queries
Blend AI with nonAI
How it works
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Connect Data Sources
Integrate your desired data sources. Scrape data from website, data from files (PDF, DOCX, TXT), create FAQ, raw Text
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Scrape your data
Use data from multiple sources to use for the custom AI LLM training
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Configure AI parameters
Set AI persona & behaviour to get the accurate responses. Configure base prompt, select GPT model, temperature etc.
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Deploy model
Finally deploy the custom AI Model. Regularly update and refine your AI model to adapt to changing user needs.
"One good conversation can shift the direction of change forever”
– Linda Lambert