All case studies
Infratint specialises in automotive window tinting and films, working with car owners across Singapore who want heat rejection, UV protection or styling adjustments tuned to their specific vehicle. The sale is technical: customers ask about VLT percentages, warranty terms and tint behaviour on specific car models before booking a slot.
Tinting is an owner-operator-led business and enquiries cluster heavily into evenings, when most owners are off work and researching options. The founder was personally replying to messages late into the night, which was unsustainable and still resulted in slower-than-ideal responses during the day. Quotation questions repeated themselves constantly because each one is essentially the same conversation, just for a different car model.
Image courtesy of infratint.com
We deployed a team of AI agents across WhatsApp and Meta channels, fronting every first-touch enquiry. A Quotation Agent answers spec, pricing and warranty questions tailored to the customer's car make, model and intent (heat rejection vs styling). A Booking Coordinator confirms slots, sends prep instructions and handles reschedules. A Reminder Agent fires the day before each appointment to reduce no-shows, and a Follow-up Agent re-engages enquiries that didn't convert on first contact. The founder steps in only when the conversation genuinely needs him.
I used to spend my evenings replying to WhatsApp messages. Now the AI handles it and I just check the bookings in the morning. It’s like having a full-time receptionist that never sleeps.Sherman Chan · Founder
Enquiries are now answered around the clock without anyone in the team losing their evenings. The booking calendar fills predictably and the founder gets to start his mornings with confirmed jobs rather than a backlog of unread messages.
We design the team, train it on your products and tone, deploy it across the channels your customers actually use, and stay on as the operator.