The next phase of UK mortgage broking may be defined less by automation replacing advisers and more by technology removing the administrative weight around them. That is the argument emerging from Mojo Mortgages, which says its recent growth has come from combining human brokers with AI-driven workflow tools, rather than choosing between the two.
Public filings support the scale of that expansion. Life’s Great Limited, the trading entity behind Mojo Mortgages, reported revenue of £14,219,955 for 2024, up from £8,681,714 in 2023. Loss after tax narrowed to £3,444,624 from £4,991,589 over the same period. The business is authorised and regulated by the Financial Conduct Authority to advise on and arrange regulated mortgage contracts.
That gives the company’s latest pitch more weight than many AI claims currently circulating across financial services. Mojo says its own analysis of Companies House data for UK mortgage brokers with revenues above £1 million in 2022 showed a three-year compound annual growth rate of 102%, with revenue rising from roughly £3.5 million in 2022 to £14.2 million in 2024. The company traces much of that momentum to strategic distribution partnerships and to deeper operational automation.
Andy Oldham, CEO of Mojo Mortgages, set out that view directly. “The fintech industry is obsessing over a binary choice: the traditional human broker or the fully automated ‘robo-advisor’. But as we navigate the complexities of the 2026 mortgage market, it has become clear that the real winner isn’t a machine, it’s the Augmented Broker.”
Mojo says Large Language Models are being used to populate lender portals directly from its CRM, cutting manual data entry by more than 50%. It also says AI now analyses all customer calls for compliance and coaching, reducing quality assurance administration by roughly 90%. According to the company, average revenue per mortgage adviser rose from £203,000 in 2024 to £240,000 in 2025, while smart booking technology increased adviser capacity by around 20%.
Those figures are company-reported rather than statutory disclosures, but they speak to a broader commercial theme that has run through business technology coverage in recent months. Across sectors, leaders are under growing pressure to show that AI investment produces measurable gains in productivity, margin, or service delivery. In regulated industries especially, the more credible argument has shifted away from full autonomy and towards assisted expertise — systems that reduce repetitive work, improve consistency, and leave final judgement with a trained professional.
Mortgage broking is a strong test case. The UK market remains sensitive to rates, affordability, and consumer confidence, but it is also entering another heavy remortgaging cycle. Millions of borrowers continue to roll off fixed-rate deals agreed in a lower-rate environment, creating demand for advice, faster processing, and closer comparison across lenders. In that setting, businesses that can increase adviser productivity without weakening trust are likely to hold an advantage.
That is also why Mojo’s model aligns with the regulator’s direction of travel. The FCA has signalled support for the use of data and technology, including AI, where it helps brokers deliver better and faster advice, while retaining human accountability. For mortgage businesses in 2026, the live debate is no longer whether automation belongs in the process. It is where that automation can remove friction without compromising judgement, compliance, or customer confidence.
Mojo enters that conversation with visible momentum. The company says it remains fee-free to customers, works with more than 60 lenders, and has arranged nearly £8 billion in mortgages since launch. Its proposition is also tied closely to the RVU platform ecosystem, including Uswitch, Confused.com, money.co.uk, and Zoopla, giving it a distribution advantage that many smaller brokers cannot easily match.
For all the noise around robo-advice, this is the more grounded story. In a complex market, the strongest operating model may not be a faceless digital journey or a purely traditional advisory process. It may be the broker equipped with better tools, better data flow, and more time to focus on the decision that still matters most to customers.
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