Telegram AI bot-to-human handoff for sales calls
Bridge the gap between artificial intelligence and human expertise with this Telegram workflow that manages smooth sales handoffs and context-aware follow-ups. Using Redis for session tracking, the system intelligently toggles between an automated onboarding agent and a live representative to provide a high-touch customer experience. It ensures that when the bot resumes control, it possesses a full summary of the human interaction for seamless after-sales assistance.
Run this with your team's AIWhat This Recipe Does
This automation serves as the backbone for a sophisticated multi-channel AI chatbot system designed to handle complex customer interactions with speed and precision. By integrating Telegram with advanced logic processing and persistent memory via Redis, this workflow ensures that your business can provide 24/7 automated support that feels personal and informed. The system manages incoming queries, remembers user context to provide relevant answers, and routes requests through specific sub-processes based on the nature of the inquiry. This eliminates the need for manual triaging of common questions, allowing your team to focus on high-value tasks while the AI handles routine engagement. The result is a scalable communication infrastructure that improves response times, increases customer satisfaction, and reduces operational overhead without requiring additional headcount.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Telegram, Predis.ai connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Telegram and Predis.ai once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Customer Support Teams use this to automate responses to frequently asked questions while maintaining a history of previous interactions for a personalized experience.
- Sales Operations use this to qualify leads through interactive Telegram conversations before routing high-priority prospects to a human representative.
- Internal Operations Managers use this as a centralized bot to provide employees with instant access to company documentation and workflow status updates.
Frequently Asked Questions
Do I need a dedicated server to store conversation history?
No, this automation uses Redis to securely manage and store session data, ensuring the bot remembers the context of the conversation without complex database management.
Can I customize the bot's responses for different types of inquiries?
Yes, the workflow includes intelligent switching logic that allows you to define different paths and responses based on the keywords or intent detected in the user's message.
Does this support multi-step workflows beyond simple chat?
Absolutely. The system is designed to trigger specific sub-workflows, meaning the bot can perform actions like updating a CRM or generating a report based on the conversation.
What is required to connect my Telegram account?
You only need a standard Telegram Bot API token, which can be generated in seconds through the BotFather on Telegram and added to your Runwork credentials.
Coming from n8n?
This recipe uses nodes like Telegram, Redis, Langchain.lmChatOpenAi, Langchain.memoryRedisChat and 11 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork