A Prime Central London estate agency has reported that its AI-powered telephone system has processed more than 11,000 buyer enquiries since September last year, according to operational data released by the firm.
Jefferies London states that its system, named J.E.S.S.E. (Jefferies Estate Sales Support Engine), has handled an average of approximately 1,863 calls per month. The firm estimates the technology saves partner brokers around 10 hours per week in administrative tasks.
Call handling and viewings
According to the agency, the system currently manages all inbound calls and a portion of outbound sales calls, matching buyer requirements with available listings. The technology has generated 212 property viewings and supports sales offers by qualifying enquiries and scheduling appointments directly into brokers’ calendars.
The firm reports that J.E.S.S.E. can manage up to 5,000 calls simultaneously, allowing the brokerage to respond to buyer enquiries and follow up with prospective purchasers when properties become available. The agency calculates the system saves each partner broker approximately two hours per working day by handling initial enquiries, qualification, and appointment booking.
Market context
Damien Jefferies, founder of Jefferies London, said the firm developed the technology to improve response times while maintaining client relationships. “Building relationships is fundamental to our business, especially in Prime Central London, but relationships only stay strong when they’re backed by results,” he stated.
“In a market where expectations are high and timelines are tight, our clients don’t just want reassurance; they want outcomes,” Jefferies added.
The adoption of AI systems in property agencies reflects broader trends in the sector, where firms are exploring automation to manage high enquiry volumes while attempting to maintain service levels. The Prime Central London market, characterised by high-value transactions and competitive conditions, has seen agencies increasingly invest in technology to differentiate their operations.
