United Trust Bank Partners with LendingMetrics to Automate Specialist Mortgage Approvals

United Trust Bank is integrating LendingMetrics’ Auto Decision Platform to automate its specialist mortgage approvals process. By orchestrating real-time data from credit reference agencies, the lender aims to deliver instant affordability assessments and decision outcomes, significantly reducing the manual burden on underwriters while accelerating the application journey for brokers and their customers.

What was announced

United Trust Bank (UTB) has selected LendingMetrics to deploy its Auto Decision Platform (ADP) following an extensive tender process. The specialist lender, which operates in the UK market, provides a range of first and second charge mortgage products through a panel of approved introducers. The implementation of ADP is designed to augment the bank’s existing underwriting expertise by automating the assessment of qualifying applications.

Currently in the User Acceptance Testing (UAT) phase, the platform orchestrates data from various credit reference agencies and third-party providers to generate mortgage assessments in milliseconds. Once fully operational, the system will allow UTB to provide immediate feedback to brokers regarding decision outcomes, specific approval conditions, and individual affordability assessments. By automating more straightforward applications, the bank intends to free up its specialist underwriting team to focus on complex cases that require a manual, personal touch. The partnership aims to increase UTB’s volume capability and scalability within the specialist mortgage sector, ensuring that even complex applications benefit from a more streamlined, technology-led approval process.

"At United Trust Bank we have continued to develop and invest in smart FinTech solutions which make it quicker and easier for customers and brokers to deal with us whilst improving our workflow efficiency."

Buster Tolfree (Commercial Director – Mortgages at United Trust Bank)

The companies involved

United Trust Bank is a prominent specialist lender in the United Kingdom, focusing on mortgage products that often require a more nuanced approach than those offered by high-street banks. The institution has built a reputation among brokers for common-sense decision-making and a reliance on expert underwriters to handle non-standard applications. LendingMetrics is a financial technology provider specializing in credit risk software and data solutions. Its flagship Auto Decision Platform (ADP) features a unique logic editor that allows lenders to modify their own policies, algorithms, and risk appetite in real-time without requiring extensive coding or external support. This flexibility is a core component of its market position, enabling firms to react quickly to changing economic conditions or regulatory requirements. LendingMetrics has established itself as a significant partner for both building societies and specialist finance firms looking to modernize their credit stacks while maintaining control over their proprietary lending criteria.

What FF News has reported before

FF News has tracked the steady expansion of LendingMetrics’ footprint across the UK financial services sector. In August 2026, the company was recognized for its market impact, as LendingMetrics Secures Seventh Consecutive Technology Partner of the Year Win. This followed a period of internal growth, including when LendingMetrics Appoints Jamie Land as Head of Presales to Drive Credit Risk Innovation in late 2026. The firm’s ADP technology has seen adoption across various niches; Camco Finance Partners with LendingMetrics to Automate Specialist Vehicle Lending in 2025, while Chorley Building Society Goes Live with LendingMetrics' Auto Decision Platform demonstrated the software’s utility in the traditional building society space.

What this means

This partnership signals a significant shift in the specialist mortgage market, where "common-sense" manual underwriting has traditionally been a point of pride—and a bottleneck. By adopting millisecond-level automated decisioning, UTB is challenging the notion that specialist lending must be slow. This puts immediate pressure on other mid-tier and specialist lenders who still rely on legacy manual workflows. The industry is moving toward a hybrid model where automation handles the bulk of data orchestration, leaving humans to manage only the most edge-case risks. The open question for the sector is whether this speed will lead to a compression of margins as competition for "cleaner" specialist cases intensifies.