No rigid forms. Your staff describe what they need in plain language — our AI extracts the structured data automatically. Supports English, Bahasa Malaysia, and Manglish.
See how a single natural-language WhatsApp message is transformed into perfectly structured database records — no forms, no manual entry.
Six steps from natural WhatsApp message to validated, stored database record.
Staff types naturally — exactly as they would tell a colleague. No form fields, no dropdowns, no character limits to worry about.
The AI model reads the message and identifies what data is being provided — recognising names, numbers, addresses, vehicle details, dates, and intent.
Every identified piece of data is extracted into named structured fields — full_name, staff_id, age, plate_number, route_origin, and more.
The PHP backend validates every extracted field — age between 18–70, plate number minimum 3 characters, all mandatory fields present. Clear rules, automatic enforcement.
If something is missing or fails validation, the system asks only for that specific field: "Thanks Ahmad! Just one more — could you share your home address?" — not restart the whole process.
Valid data is written to the structured MySQL database and an instant confirmation is sent to the staff member via WhatsApp — all in real time.
Covering all common staff data fields — personal, vehicle, operational, and intent detection.
How staff actually communicate — and how the AI handles it.
Enterprise-grade AI integrated into a production WhatsApp chatbot environment.
We'll demonstrate real AI extraction from natural language WhatsApp messages — in English, Bahasa Malaysia, and Manglish.
📞 1800 87 7061 · +603 2780 3880 · [email protected]