AI Calling Agent Qualifies Real Estate Leads Within Minutes

Industry

Real Estate

Services

Voice AI AgentsAI Lead GenerationCRM Integration

Technologies

VapiOpenAI GPT-4oElevenLabsTwilioHubSpotNode.jsGoogle Calendar API

Challenge

A real estate brokerage generated a high volume of enquiries from property portals, social ads and its website, but agents could not call every lead quickly.

Leads contacted hours later had often already spoken to a competitor, and agents spent much of their day calling people who were not ready to buy:

Slow response to new enquiries, especially evenings and weekends.
Agents' time spent on unqualified or unreachable leads.
Inconsistent qualification questions and CRM notes.
Viewing appointments lost to back-and-forth scheduling.

The brokerage wanted every lead contacted immediately and only qualified prospects passed to agents.

Solution

Winklix delivered an AI calling agent connected to the brokerage's lead sources and CRM, working around the clock in the brokerage's own voice and tone.

Instant lead response

New enquiries trigger an outbound call within minutes. Inbound calls to listing numbers are also answered by the same agent.

Qualification conversation

The agent asks about budget, timing, financing and preferred areas, answers common listing questions and handles objections politely.

Booking & CRM sync

Qualified buyers book viewings directly into agents' calendars. Call summaries, transcripts and lead scores are written to HubSpot automatically.

Monitoring & tuning

A dashboard tracks call outcomes and flags conversations for review, so scripts and prompts keep improving.

Real Estate Brokerage solution delivered by Winklix

The Approach

Workflow first — We mapped the real workflow with the people doing the work before choosing models or tools.
Human in the loop — Every AI output had a clear review point, confidence thresholds and an escalation path to a person.
Prototype, then scale — A working pilot on real data proved the value before the solution was rolled out more widely.
Measured from day one — Baseline metrics were captured up front so improvements could be tracked objectively.