1. Input & Trigger
An inquiry arrives from a web form. The system verifies required fields and passes data to downstream steps, keeping contact information separate from AI prompts.
BotCentralHub helps design workflows connecting business tools, AI processing, and human oversight. Using a sample web inquiry, we show how automation triggers, what data it requires, and how errors are handled.
A general example of triggering automation from a web form. The goal is to verify inputs, prepare a draft reply, and send it only after human approval.
An inquiry arrives from a web form. The system verifies required fields and passes data to downstream steps, keeping contact information separate from AI prompts.
The AI model processes the message, prepares a requirement summary, and drafts a proposed reply. The model does not invent missing pricing or timelines.
An authorized team member receives the draft for review. The member can edit, approve for sending, or reject the message. Without human approval, no message is sent.
If inputs are incomplete, AI generates an invalid format, review time expires, or the sending service fails, automation halts the process and hands the case over for manual resolution. Timeout is never treated as consent.
The system logs a unique inquiry ID. Duplicate event deliveries are not treated as new orders.
The application checks data types and strips unnecessary personal data before passing context to AI prompt logic.
Human approval applies strictly to a specific version of text and recipient. Any subsequent change requires re-approval.
In automation tools such as n8n, execution pausing relies on the Wait node, while failure capturing uses the Error Trigger node.
Have a specific recurring task you want to connect with AI and safeguard against errors? Describe your workflow for review.