Omni Capital Retail Finance Accelerates Credit Decisions with LendingMetrics ADP Integration

Omni Capital Retail Finance has integrated LendingMetrics’ Auto Decision Platform (ADP) to automate its credit approval process. For fintech professionals, this move highlights the intensifying demand for millisecond-latency decisioning at the point of sale, allowing retail lenders to replace manual underwriting with real-time, data-driven risk assessment and paperless customer onboarding.

What was announced

Omni Capital Retail Finance, a consumer credit supplier, is deploying the ADP platform to bolster its existing OmniPort credit approval system. The integration is designed to facilitate immediate purchases at the point of sale through a paperless e-signature workflow. By adopting this automated decisioning technology, Omni can now execute credit decisions within milliseconds. The platform allows the lender's operational and credit risk teams to build and modify rules, scorecards, and matrices in real time via a dedicated user interface.

ADP, which originally launched in 2016, provides connectivity to all major credit reference agencies and incorporates data analytics and Open Banking capabilities. This transition aims to remove the cost and time burdens associated with manual loan underwriting. Following a training period, Omni has completed the migration to the platform, enabling its staff to update risk parameters without significant business disruption. The partnership marks an expansion for LendingMetrics into broader spheres of the retail lending and banking sector, providing Omni with the ability to leverage real-time credit risk decisioning and an interface to update rules and scorecards instantaneously.

"Following LendingMetrics training, Omni has successfully migrated to ADP with minimal business disruption. Real-time credit risk decisioning is now in place, including an interface to update rules and scorecards in real-time."

Neil Williams, Managing Director of LendingMetrics

The companies involved

Omni Capital Retail Finance is a significant provider of consumer credit in the United Kingdom, operating as a subsidiary of Castle Trust Capital. The firm focuses on the retail finance market, providing the infrastructure for merchants to offer credit options to their customers during the checkout process. LendingMetrics is a fintech firm specialising in credit risk and automated decisioning technology. Headed by CTO and Founder Neil Williams, the company has carved out a niche as a provider of high-speed underwriting engines that integrate with multiple data providers. LendingMetrics has evolved from a credit data specialist into a broader technology partner, with its Auto Decision Platform (ADP) serving as a core product for lenders seeking to modernise their tech stacks. The company’s presence in the market is defined by its focus on reducing manual intervention in the loan lifecycle, positioning itself against traditional, slower credit assessment methods by leveraging real-time data analytics and Open Banking integrations.

What FF News has reported before

FF News has tracked LendingMetrics’ consistent growth and its expanding footprint in the automated lending space. The company recently strengthened its leadership team by appointing LendingMetrics Appoints Jamie Land as Head of Presales to Drive Credit Risk Innovation. Its technical standing in the industry was further validated when LendingMetrics Secures Seventh Consecutive Technology Partner of the Year Win. The partnership with Omni Capital follows several other high-profile integrations, including a deal where Camco Finance Partners with LendingMetrics to Automate Specialist Vehicle Lending and a project where Chorley Building Society Goes Live with LendingMetrics' Auto Decision Platform.

What this means

This partnership underscores a critical shift in the retail finance sector where "instant" is no longer a luxury but a baseline requirement. As point-of-sale finance becomes increasingly competitive, lenders who rely on manual or slow-batch processing are under immense pressure from agile, tech-first competitors. The ability for risk teams to adjust scorecards in real-time is particularly significant in a volatile economic climate, allowing for rapid responses to changing consumer credit profiles. However, the industry faces an ongoing challenge: as decisioning becomes more automated and instantaneous, the pressure on the quality and breadth of data sources—specifically the integration of Open Banking—will only intensify.