Start with the questions your staff already asks.
We list the services, needed details, service area, timing, budget clues, and reasons a request may not fit. Clear rules should handle simple choices. AI is used only when it helps understand a written answer.
AI can read a written answer, ask one useful follow-up, sort the request, or make a short summary. Staff should still be able to see why the form reached its result.
Keep the customer experience conversational but efficient.
The form should ask one useful thing at a time, explain why sensitive or detailed information is needed, and provide a conventional path when the adaptive experience cannot help. Progress, validation, mobile controls, and accessibility still matter.
We limit the questions to information the business will use. Qualification should prepare a better response—not demand unpaid consulting from the prospect or make every lead prove moral worthiness to a dropdown.
Route the result with context and appropriate safeguards.
A completed intake can produce structured fields, the prospect’s original language, an AI-assisted summary, service category, priority signals, and recommended next action. It can route to email, a CRM, booking, or an internal workflow where supported.
We define confidence limits, privacy, retention, notification, and human-review requirements. Staff make the final business decision when the cost of an incorrect classification matters.
An adaptive lead form can include
- Qualification criteria and decision-flow mapping
- Conditional questions and mobile-friendly form experience
- AI-assisted classification, follow-ups, and summaries
- Email, CRM, booking, or workflow routing
- Fallback, privacy, analytics, and human-review controls