Mortgage brokers are quietly turning to artificial intelligence to keep pace with a market that is moving faster than at any time in recent years. Lenders have been repricing products multiple times within days and, in some cases, pulling new deals within hours of launch — a dynamic made more urgent as average mortgage rates recently climbed to around 5%, their highest level in roughly 19 months.
The shift is forcing advisers to rethink a part of the process that has long been the most time-consuming: preparing a mortgage application. Under normal market conditions brokers have time to pull bank statements, verify income, organise payslips and tax records, and run necessary compliance checks before submission. But when a product’s rate can change several times in a week, the critical difference between securing a deal and losing it often comes down to how quickly an application is ready.
That pressure is driving adoption of AI-powered tools across the intermediary community. Platforms incorporating optical character recognition (OCR) and automated data extraction can now scan and structure financial documents such as bank statements and payslips, presenting key figures and anomalies to advisers in minutes rather than hours. By removing repetitive manual work, these systems let brokers spend more time on client assessment and suitability advice.
Brokers using the newer tools report tangible productivity gains. Anoj Fernando of WIS Mortgages said automation helped him process 10 mortgage applications in a single day — a significant jump from his usual throughput. David Clift of Greenstone Mortgages said he completed what would normally be two months’ worth of submissions in just two weeks, crediting AI-enabled document analysis for the increased capacity. Both examples underline how faster preparation can translate directly into a greater chance of locking in favourable terms before lenders move.
Beyond document handling, AI is also being deployed to monitor market movements. Where advisers traditionally relied on lender bulletins, sourcing systems and industry news, some technology platforms now analyse market data to surface pricing changes earlier. That capability lets brokers adopt a more proactive stance — flagging opportunities or risks for clients before a product is withdrawn or repriced — rather than simply reacting after the fact.
Advisers emphasise that the technology complements rather than replaces professional judgement. Suitability assessments, client conversations and regulatory responsibilities remain the broker’s work. What is changing is the toolset: automation is trimming the administrative tail of each case, which can improve outcomes for borrowers by increasing the odds of securing the most appropriate product available at the moment of submission.
With lenders continuing to adjust pricing amid uncertain conditions, many brokers expect AI and automation to become an increasingly central part of mortgage advice. The role of the broker — interpreting client needs and providing tailored recommendations — remains unchanged; the machinery supporting that role is evolving to meet a market that now moves at breakneck speed.