UK Mortgage Broker Doubles Revenue Through Human-AI Hybrid Model
Mojo Mortgages has grown revenues from £3.5 million to £14.2 million over three years by combining human advisors with artificial intelligence tools across its operations. The 102% compound annual growth rate outpaces typical sector performance, according to Companies House data on brokers with revenues exceeding £1 million between 2022 and 2024.
Chief executive Andy Oldham attributed the expansion to two parallel strategies: distribution partnerships with major UK consumer platforms including Uswitch, Confused.com, Money.co.uk, and Zoopla, and the integration of automation tools that reduce administrative work.
Where automation cut workload
The firm deployed large language models to automate data entry into lender portals directly from its customer relationship management system, cutting manual data entry time by more than 50%. AI-driven analysis of customer calls for compliance and performance monitoring reduced quality assurance administrative time by approximately 90%.
A booking system segments cases by complexity, allowing shorter consultations for straightforward transactions and improving advisor capacity by around 20%. The company also introduced continuous rate monitoring during applications, which identified more competitive deals and generated estimated annual customer savings of over £4.5 million.
Productivity gains per advisor
Average revenue per mortgage advisor reached £203,000 in 2024 and increased to £240,000 in 2025, an 18% rise. The company operates roughly 70 advisors, with reduced administrative burden allowing them to focus more on advisory work.
Mojo Mortgages maintained a Trustpilot rating of 4.8 out of 5, suggesting customers continued to value human guidance despite increased automation. The company positioned the model as balancing technological capability with expert judgment rather than moving toward fully automated advisory.
Operational implications
For operations teams, the case demonstrates how automation can increase advisor output without replacing advisory functions entirely. The firm's approach focused on removing friction from back-office and compliance work, freeing advisors to handle more customer interactions.
The company plans to expand its use of artificial intelligence and strengthen partnerships through the remainder of 2026 as part of efforts to refine operational efficiency.
Operations professionals looking to understand how automation integrates with human-led advisory work may find value in exploring AI Agents & Automation or the AI Learning Path for Operations Managers.
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