We built an AI voice sales engine using ElevenLabs, Exotel, and n8n to qualify real estate leads around the clock, prioritize prospects, schedule site visits, and automatically maintain clean CRM records.
The system handles 5–10 conversations simultaneously, automates follow-ups, and updates validated lead information directly in the CRM - giving the sales team a consistent 24/7 lead-handling workflow.
A growing residential real estate business was generating more leads than its sales team could handle. Enquiries arriving during evenings, after hours, and weekends often had to wait until the next working day, while follow-ups depended heavily on individual agents’ memory and prioritization.
The existing CRM also relied on agents manually entering call information after conversations, resulting in incomplete or inconsistent records. Ciphernutz built an AI voice sales engine that operates 24/7, qualifies leads, scores them as Hot, Warm, or Cold, schedules site visits, and writes validated information directly into the CRM.
"What used to happen to a lead that came in at 9pm on a Saturday?"
All leads were manually filled in the CRM the next day, and by evening, again we seemed to have lost a few, and this kept repeating. Then, after consulting and 8 weeks in production, we started using the automation made by Ciphernutz. Now, we’ve reduced the lost ratio with Voice AI and 24/7 Sales Engine to about 25:5 a month, and our teams arrive to act on bookings.
Many property enquiries came in during evenings, after hours, and weekends when agents were unavailable. This caused delayed responses, missed follow-ups, and inconsistent CRM updates.
A lead submitted at 9 PM or after midnight on a Saturday could remain unnoticed until Monday morning. By then, the buyer may have contacted several other agencies, creating a major response-time disadvantage in a market where the first meaningful conversation can influence who gets the viewing.
As lead volume grew, each sales agent could handle only one conversation at a time. During busy periods, new enquiries took priority while older leads and follow-ups were easily forgotten.
A buyer who required several touchpoints before agreeing to a site visit could receive one follow-up and then disappear from the agent’s priority list. There was no systematic process deciding which lead deserved attention next.
Agents had to manually type information into the CRM after calls. Budgets, preferences, and other details could be incomplete or ambiguous, while duplicate records could fragment the buyer history and make lead prioritization more difficult.
We built an AI-powered real estate sales engine designed to qualify, prioritize, schedule, and follow up with leads while keeping human sales teams focused on negotiation and closing.
ElevenLabs voice agents were connected through Exotel to handle concurrent conversations around the clock. The system can handle five to ten conversations simultaneously and can also support dormant-lead revival campaigns.
n8n receives and validates the agent’s conversation data, then maps information such as budget, location preference, timeline, and property type into the client’s CRM schema before it is committed.
An evaluation engine classifies leads as Hot, Warm, or Cold using interaction history, recency, and how objections were handled. This turns lead prioritization from an ad hoc manual process into a structured, intelligence-driven workflow.
Based on lead score and conversation history, the system can trigger a WhatsApp reminder, follow-up call, or escalation to a human sales representative so leads do not remain waiting for a manual decision.
The AI agent captures buyer availability during the conversation, checks representative calendars through backend workflows, assigns the lead to an available agent, and writes the calendar event directly.
PostgreSQL stores transcripts, event logs, and unified customer memory, while Redis manages queueing and retries. Buyers contacting the business from a second number can be recognized as the same customer, and analytics provide visibility into agent performance and pipeline health.
The real estate business is now reachable 24/7, with the capacity to handle 5–10 conversations simultaneously. Lead follow-ups are automated, CRM records are updated and validated automatically, and every lead is prioritized as Hot, Warm, or Cold with a clear next action.
| Before | After | |
|---|---|---|
| After-hours enquiries | Unanswered until next working day | Handled immediately |
| Concurrent capacity | One conversation per available agent | 5-10 conversations simultaneously |
| Follow-up consistency | Dependent on agent memory | Automated and score-driven |
| CRM entry | Manual, post-call | Automatic and validated |
| Lead prioritisation | Ad hoc | 3-tier scoring with prescribed actions |
We'll map your current lead flow, identify where AI can automate qualification and follow-ups, and show you where human sales reps should step in.
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