Spring Future supports clients exploring immigration pathways. Their sales team was drowning in web form submissions — many incomplete, duplicated, or clearly spam. Consultants spent the first part of every day copying data into spreadsheets and trying to guess which leads were worth a phone call.
I designed an automation engine that qualifies leads before they ever reach a human. The system collects structured answers, verifies phone numbers, scores intent with AI, and pushes only serious prospects to consultants through WhatsApp and Telegram alerts.
Immigration consultancies sell trust and expertise, not impulse purchases. That means leads need context — destination country, education history, budget range, timeline — before a consultant can help. The old single-page contact form collected names and vague messages, so staff had to chase missing details by phone.
Spam was the second problem. Competitor bots and fake numbers polluted the CRM. Manual review did not scale, and the team was burning hours on leads that would never convert. Spring Future needed a front door that was friendly for real users but firm against low-quality traffic.
I built a multi-stage web form using Cursor-assisted development, breaking the intake into logical steps so applicants did not feel overwhelmed. Each step validated inputs before allowing progress. At the phone verification stage, the form called a webhook that issued a one-time password — only verified numbers moved forward.
Behind the form, n8n orchestrated the full pipeline. Submissions landed in a structured database, then passed through AI agents that summarized the profile, flagged risk signals, and assigned a priority score. High-intent leads triggered instant WhatsApp and Telegram messages to the duty consultant with a short briefing — not a raw JSON dump.
I also added engagement touchpoints: applicants received confirmation messages and gentle reminders if they abandoned a step. That kept real users moving while bots dropped off at verification gates.
- Multi-step responsive web form (Cursor-assisted build)
- Webhook API with dynamic OTP phone verification
- n8n workflows for routing, scoring, and notifications
- AI agents for lead summarization and intent analysis
- WhatsApp and Telegram alert channels for consultants
- Structured lead store for CRM handoff and reporting
Manual data entry dropped by roughly 90%. Consultants stopped retyping form answers and started their days with prioritized lead briefings. Response times improved because the right person got notified the moment a qualified applicant finished the flow.
User engagement rose as well — completion rates climbed once the form felt like a guided conversation instead of a generic contact box. The team could finally measure which traffic sources produced real cases versus noise.
Lead quality is a systems problem. Verification gates and staged questions filter spam better than any manual review queue. AI works best when it produces a short, actionable summary for humans — not when it tries to replace the sales conversation entirely. And for consultancies, speed of first response is still a competitive advantage, so alerts must land where staff already live: messaging apps.
An immigration company wasted hours manually reviewing unverified web leads and spam data.
Designed a multi-stage web form via Cursor. Implemented webhook responses with dynamic OTP phone verification gates and integrated backend AI agents via n8n to analyze lead profiles automatically.