Capture leads on WhatsApp and save them to Sheets
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
Commerzbank's Bene chatbot, now on Gemini, handles over two million chats and resolves 70% of inquiries.
Commerzbank's Bene chatbot, now on Gemini, handles over two million chats and resolves 70% of inquiries.
Commerzbank was an early adopter of Google's Customer Engagement Suite. It used the suite to build Bene, its own specialized banking chatbot, and has since added Gemini to improve the experience. The source is a Google product announcement. It gives no detail on how the chatbot was built, what data it can reach, or where staff step in.
Bene now handles over two million chats and resolves 70% of all inquiries. The source gives no baseline, no definition of resolved, and no cost or timeline figures.
The source is a vendor announcement with a single sentence on Commerzbank, so check the results and the setup details elsewhere before copying it.
Help me build a customer support chatbot for [bank or business type]. Using these FAQs and policies: [paste], write its instructions, the topics it should resolve itself, the ones it must escalate with a handoff summary, and tone guidelines. End with 15 realistic customer questions and ideal answers to test it.
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
An n8n agent handles customer WhatsApp messages, searches info, checks the calendar, logs to Sheets or Notion, and replies by WhatsApp and email.
A Lindy agent researches YouTube ideas and scripts, and another emails a brief on discovery-call contacts 10 minutes before meetings; complex content stayed on Make.