How Can Builders Reduce the Cost of Real Estate Lead Follow-Ups Without Losing Enquiries?

Builders can reduce follow-up costs by automating repetitive calls instead of assigning every initial enquiry to a human caller. An AI calling agent follows a prepared script, asks relevant questions, captures responses and routes prospects according to predefined rules. For example, a buyer asking about a site visit can be identified for a sales handover, while someone seeking basic project information can follow an appropriate scripted conversation. The objective is to reduce repetitive manual work while preserving human involvement where it matters.

Mumbai's property market includes residential developments, redevelopment opportunities, premium apartments and commercial properties, each attracting prospects with different questions and expectations. An enquiry about a home in Powai may require a different qualification conversation from a business enquiry concerning office space in BKC. AI calling allows builders to create scripts around each project's requirements and use suitable languages for their audiences. This helps sales teams organise follow-ups around prospect needs instead of managing every enquiry through the same manual process.

Automation is useful for builders receiving recurring enquiries, running multiple campaigns or spending substantial staff time on initial calls and routine qualification. It can also help sales teams work through older enquiries when there is a valid basis to contact those prospects. However, it is not a complete replacement for human salespeople. Projects that depend mainly on detailed negotiations, highly personal consultations or complex buyer discussions need direct human involvement. Automation is also unsuitable for contacting people without the required consent or ignoring applicable opt-out and DND requirements.

Troika Tech's AI calling pricing is equivalent to Rs 9 to Rs 12 per minute, billed per second, with telephony included. Setup is usually waived for a limited period. The actual value depends on factors such as calling volume, conversation length, script complexity, language requirements and how much of the qualification process needs automation. Builders should compare the expected cost of automated conversations with the time spent by staff on routine calls, while accounting for the human effort still needed for qualified enquiries and sales handovers.

A single, narrowly defined workflow can go live in a short cycle. A full qualification flow takes longer because each campaign needs its own script and every language version must be tested on real calls. The implementation should also account for applicable TRAI and DLT requirements for sender headers and content templates, consent capture and timestamping at enquiry, DND and opt-out handling across campaigns, disclosure that the caller is automated, and defined data-retention periods. The launch process should include testing and clear rules for transferring conversations to human staff.

Troika Tech supports English, Hindi, Marathi, Gujarati, Tamil, Telugu, Kannada, Malayalam, Bengali and Punjabi, as well as natural mixed-language speech. For Mumbai campaigns, Marathi, Hindi and English may be relevant depending on the intended audience; the appropriate mix should be established before launch. Integrations are available through APIs for CRMs, ERPs, lead-ad and portal forms, calendars, payment links and WhatsApp. Builders should define which enquiry details need to move between systems and establish appropriate access and retention rules for customer data.