The Opportunity

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Optimizing Sales Outreach With AI-Powered Calling  

Christie’s International Real Estate was running multiple campaigns, generating leads through landing pages and digital forms. While the inflow of leads looked promising, many were low-intent or outright bogus.  

Agents were spending hours trying to manually separate interested buyers from the noise. With every new campaign, the issue multiplied. This high-volume, low-quality lead problem created a bottleneck in the sales funnel.

We saw this as an opportunity to implement AI Calling and reduce manual overhead. Our goal was to introduce a system that could automatically call new leads, evaluate their interest in real-time, and surface only the most promising ones.

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The Solution

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AI-Powered Calls Trained to Qualify Leads

We designed an AI calling system that could replicate a human-like conversation and intelligently qualify leads. Our AI engineers began by analysing actual sales calls and scripts used by our clients’ teams.  

From there, we mapped conversation pathways so the AI would know how to respond naturally across different buyer scenarios. We trained and tested the AI extensively, fine-tuning its tone, pace, and phrasing. To personalize the experience, we cloned the voices of actual sales team members and integrated them into the system. 

AI Call Activity Dashboard

The AI was also linked to client data stored in Excel sheets. It could reference property details during calls, creating a context-aware, informative interaction.

To launch a campaign, our client only had to upload a contact list and plug in their data sheet. From there, the AI handled everything from calling, conversing, scoring leads, and summarizing intent and sentiment.

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The Impact

Efficient Filtering, Cost Savings, and Smarter Conversions

The AI calling system increased its outreach by 38% allowing the sales team to generate more leads. This expansion was done at 60% of the estimated budget that was planned without any AI involvement.

By automating initial outreach and lead vetting, the human agents spent more time closing deals. Christie's initial investment in setting up this AI calling system is projected to be redeemed in only its 2nd month of use. This highlights the huge potential of AI Voice Agents at a low initial investment which might sound counter-intuitive but is true.

A comparison of how AI calling compares to manual sales calling.

Each AI-qualified lead came with a structured summary capturing sentiment and buyer intent. Objections were logged too, helping sales teams prioritize follow-ups without wasting time.

Voice cloning maintained a human touch, helping boost engagement and trust. Integration with real-time property data allowed the AI to handle most questions on its own, freeing up reps to focus on closing.

The result: a leaner qualification process, fewer dead ends, and a sales funnel focused entirely on high-intent buyers.

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