Reclaiming 40 Hours/Week
With a Secure AI Lead Agent.

If you run a service-oriented business in Singapore, you know the anxiety of lead leak. A prospect fills out your website form or sends a WhatsApp enquiry. They are highly motivated at that exact moment. But if you take 2 hours, 4 hours, or a full day to qualify them, check calendars, and manual draft a reply, you have likely lost the deal.

Statistically, response rates drop by over 390% if you wait longer than 5 minutes. At Lumora, we build practical AI systems that connect operational tools securely. Here is how we helped a Singapore consultancy automate lead screening, CRM logging, and calendar routing in under 90 seconds.

The Bottleneck: Manual Intake Delays

Our client, a high-growth Singapore tuition and consultancy center, was receiving over 150 inbound enquiries per month. Their manual workflow consumed valuable time:

• Operational managers manually reviewed enquiries to verify budget and age-group fit.
• Drafted manual reply emails attaching PDF brochures and course info documents.
• Initiated multiple back-and-forth emails to coordinate a calendar consultation slot.

This process consumed over 10 hours per week of manual administration, and qualified leads were waiting up to 24 hours for follow-ups.

The Solution: The AI Lead Qualification Pipeline

We designed an integrated automation scenario using Make.com and direct OpenAI API sandboxes, governed under strict security rules in alignment with Singapore's Personal Data Protection Act (PDPA):

1. Structured Intake: Fills on the webform trigger a secure webhook. Message payloads are automatically extracted and prepared.
2. Guardrailed AI Scoring: A sandboxed LLM model scores the lead from 1 to 5 against pre-set qualifying parameters (budget threshold, geographical focus, service scope) and drafts a short brief.
3. CRM Synchronisation: Lead details, AI scores, and briefs are instantly synchronized to their internal CRM (Notion database). Direct sandboxes prevent client data from ever being used to train public models.
4. Automated Routing: Qualified high-scoring leads receive a WhatsApp and email message containing a Calendly link to schedule their consultation immediately. Lower-scoring leads receive polite follow-up templates or alternative references.

The Results: S$30,000+ Recovered Revenue

By replacing manual reviews with structured AI logic, the metrics shifted dramatically:

• Response Delay: Reduced from an average of 4 hours to 90 seconds.
• Time Reclaimed: Saved 40+ hours per month in administrative overhead.
• Recovered Pipeline: Hot leads were re-engaged instantly, resulting in an estimated S$32,000+ in annual recovered revenue from opportunities that would have otherwise leaked to competitors.