Automatically receive, standardize, classify, route, notify, and respond to contact form inquiries using GPT-4.1, Gmail, Telegram, and structured data tables.
This AI Agent ingests website form submissions via webhook, normalizes the data into a consistent internal structure, and classifies messages by intent. Real inquiries are saved to a data table, forwarded to the internal team, and answered with a professional confirmation email. Spam and seller messages are filtered, keeping the inbox clean and improving data quality for CRM imports.
Automatically classifies and routes inquiries with minimal manual intervention.
Ingest new submissions via webhook.
Normalize data into a consistent internal schema.
Classify messages by intent (genuine enquiry, seller/outreach, or spam).
Save genuine enquiries to a data table and forward to the internal team.
Send a professional confirmation email for genuine inquiries.
Filter spam and low-value submissions to keep the process clean.
Before triage, response times are slow and data is inconsistent. After implementing this AI Agent, inquiries are triaged instantly, data is standardized, and real leads are routed promptly.
Simple 3-step process anyone can follow.
A new form submission arrives via webhook and is normalized into a consistent internal structure.
GPT-4.1 analyzes the message and assigns it to genuine enquiry, seller/outreach, or spam.
Real enquiries are saved and notified to the team with a professional confirmation email; seller messages are forwarded; spam is filtered.
A realistic scenario showing time-to-action.
Scenario: A visitor submits a pricing inquiry at 2:13 PM. The AI Agent classifies it as a genuine enquiry, logs the submission in the data table, forwards it to the sales queue via Gmail, and sends a professional confirmation email to the requester within two minutes.
Roles that gain concrete improvements in enquiry handling.
Need faster triage of inquiries and cleaner lead data.
Require accurate routing to the right queue and timely follow-up.
Seek consistent data capture for CRM and analytics.
Want to separate genuine inquiries from spam to reduce noise.
Need reliable, uniform lead records for imports.
Handle multiple clients with a scalable triage workflow.
Core tools that enable end-to-end triage.
Triggers the AI agent when a new form submission arrives and passes structured data.
Performs intent classification and generates the confirmation email content.
Sends professional confirmation emails and forwards genuine inquiries to the team.
Notifies internal teams about genuine inquiries in real time.
Stores submissions with classification, status, and timestamps for CRM import.
Scenarios where AI-powered triage adds the most value.
Common questions and detailed answers.
If misclassification occurs, the system logs the incident and routes it to a human review queue. You can adjust fine-tuning prompts or add post-classification checks to improve accuracy. Over time, the model adapts to your typical inquiry patterns. You retain full control to override classifications when necessary.
Yes. You can update the intent taxonomy, add new categories, and adjust confidence thresholds. The workflow supports re-training prompts and tailoring responses to your brand voice. Changes apply to new submissions while preserving history for audit trails. You can also override automation for specific use cases.
It is designed to work with webhook-capable forms. If your form provides a webhook, the AI agent can connect and process submissions. For forms without webhooks, you can use intermediate automation to forward submissions to the webhook endpoint. In some cases, a lightweight integration layer may be required.
Triaging occurs within minutes of submission. The AI analyzes content immediately, the data is stored, and notifications are sent to the team. Confirmation emails are drafted and sent automatically for genuine inquiries. Performance can vary with form traffic, but the system is designed for near-real-time handling.
Data is stored in a structured data table with access controls and audit trails. Submissions are categorized with timestamps, and sensitive fields can be encrypted at rest. You can configure retention policies and export controls to align with your compliance needs. The system respects your existing data protection standards.
Yes. Telegram notifications are optional and can be enabled or disabled per channel. You can route alerts via Gmail or other channels if preferred. The configuration allows you to tailor who receives which type of notification. This helps adapt the flow to your team's collaboration preferences.
The underlying model can process multiple languages supported by the AI provider. You can configure language handling rules and translations for responses. For non-English inquiries, you may route to a human or enable localized confirmations. Language support improves reach without sacrificing accuracy.
Automatically receive, standardize, classify, route, notify, and respond to contact form inquiries using GPT-4.1, Gmail, Telegram, and structured data tables.
