

Speciality lenders deal with complex, unique circumstances in an industry where efficiency and data are key. At Finexos, we can help you leverage advanced AI to make more informed lending decisions faster. Discover how AI for speciality lenders works below, or book a free demonstration to see our tools in action.

Finexos is working with lenders across the financial sector to help them better manage risk and make financial products more accessible to wider audiences. Our AI for speciality lenders is built, refined, tested and trained to allow for the rapid analysis of vast amounts of applicant data. This gives a much more holistic view of risk and lending eligibility than traditional methods alone, in a fraction of the time.
With Finexos AI, speciality lenders can improve customer experiences, reduce default rates and increase efficiency.
Accurately assess repayment capability with our AI-powered affordability analysis.
Get a granular snapshot of the quality of your loan book in real time with our Portfolio Analysis.
Detect early signs of financial distress and potential default in real time with our ongoing monitoring solution.
Finexos’ AI for speciality lenders is tailored to provide a wide range of benefits, from greater efficiency to compliance made simple.
We understand the varied and often complex nature of speciality lending, and our AI is designed to be able to learn and adapt to new requirements, offering advancements regardless of circumstances.
Our analysis model provides a more accurate picture of affordability, ensuring SMEs can maintain their operations while repaying loans.
Transactional and real-time data can determine whether borrowers can maintain their quality of life while repaying loans.
Finexos has developed an end-to-end platform that enhances credit
decision-making across various financial lending sectors.
Up to
25%
Reduction in Default Rate
More inclusive lending, based on our financial capability metrics, unlocks entirely new markets whilst reducing overall risk exposure through the use of our advanced AI and behavioural analytics. Finexos enables lenders and credit decision engines to safely include more borrowers, even those with thin or no credit files and without the need for borrower PII or credit scores.
Finexos improves lending through a number of solutions:
With advanced AI for speciality lenders, we aim to help improve decisioning and profitability while making credit more accessible, delivering greater financial inclusion. We believe AI is a tool for good, for both lenders and borrowers, continuously adapting to changing needs and shielding everyone from uncertainty.
Finexos technology and sustainability-focused methodology provides a more robust assessment of a borrower’s ability to meet repayments, and to do so comfortably.
More accurate affordability assessments mean loans are granted more responsibly and sustainably.
When calculating affordability assessments, Finexos uses zero PII. By anonymising the process, the traits of a customer that have traditionally led to potential bias such as gender, race or postcode are eliminated.
Sustainability-focused affordability assessments are based on each applicant’s individual circumstances and behaviour to deliver more granular and accurate results.
Sustainable Affordability Assessments are embedded into existing decisioning workflows without disruption and do not require system overhauls.
At Endava, we are delighted to announce our partnership with Finexos, demonstrating our ongoing commitment to financial inclusion. This relationship authentically aligns with our core values, using technology and democratising access to financial instruments. Giving individuals and communities the ability to access fair, consistent next-gen real-time credit scoring. Empowering economic growth and stimulus.

Matthew Williamson
SVP & Industry Principal
The Finexos experience has been nothing short of outstanding. Their solution has not only improved our decision-making accuracy by a whopping 267% but has also allowed us to identify cost savings in our operations and save valuable balance sheet capital.
The actionable perspectives provided by Finexos have opened up new doors and revenue streams in our future plans, promising a significant and lasting impact on the trajectory of our organization. I cannot recommend Finexos highly enough.

Dan Ware
CEO
Open Banking is transforming the access to credit. Using some of the industry’s best technology, Finexos are leading the way and setting a high benchmark. An absolutely wonderful challenge for us all to step up to given the positive impact this will have on lender’s, borrower’s and society as a whole. Value driven and with a massive social conscience, the Finexos team are on a mission to unlock the huge wealth of possibilities for a fairer, more inclusive world. We’re proud to work alongside such an inspired team.

Helen Child
Founder & CEO
What can AI do for speciality lenders?
AI for speciality lenders can:
With specially trained AI models for speciality lenders, we enable a range of benefits for even the most unusual of circumstances.
Can AI be used for non-traditional credit scoring?
Absolutely. AI can be trained and developed to work with varying data sets, providing an accurate, rapid alternative to traditional credit scoring. This broader, more flexible approach is perfect for speciality lenders, where credit scoring can otherwise be complex and time-consuming.
How does AI improve loan processing for speciality lenders?
AI can improve loan processing for speciality lenders in a number of ways. Firstly, it can drastically reduce process times, shrinking backlogs and allowing for faster approval rates. This helps lenders take on more customers with reduced risk, while also improving customer experiences.
Secondly, AI allows for more accurate assessment of risk, meaning products can be better priced and default rates reduced, which again benefits both lender and borrower.
How does AI help speciality lenders manage risk?
AI for speciality lenders is designed to analyse very large amounts of data quickly. It allows lenders to consider a much broader range of factors, such as lender behaviour patterns, and spot risk factors often not detected during traditional credit checks. This means products can be more effectively priced according to risk, and borrowers can be protected from undue financial harm.
Ready to see what our AI for speciality lenders can do? Book a free demo today to see it in action. If you’d like to see how it can work for your business specifically, we can even take a sample of your data.To book your free demo, just fill out our interactive form or get in touch with our friendly team.
Today, credit scores are a crucial part of everyday life. They affect everything from mortgages to mobile phone contracts, and a poor score or lack of history can be a real barrier. But when were credit scores invented and how did they evolve?
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Data from Fair4All Finance shows that 20.3 million people were living in financially vulnerable circumstances as of 2024 – an increase of 16% from 2022. Financial vulnerability can be caused by a range of factors but is universally harmful to both affected individuals and lenders.
An affordability check determines whether a borrower is qualified to receive a loan. Many factors go into deciding whether a borrower is qualified, such as their income, regular bills and in some cases even postal code.
Affordability assessments are a crucial part of the approval process for almost any financial product, from mortgages to personal loans. But what are they, how are they used, why are they so important, what criteria do they assess and what does the process look like?
The Bank of England’s latest survey on AI in financial services revealed that 75% of firms are already using artificial intelligence (AI), with a further 10% planning to use AI over the next three years. The development and implementation of AI programs requires significant financial and operational investment which not all lenders have the capabilities to undertake.
AI is transforming lending operations and unlocking a world of possibilities for consumers and lenders alike. By providing tools to improve decision-making, the utilisation of AI in lending is helping to create more financial inclusion and credit access for an underserved market. A credit decision engine that uses advanced AI also reduces operational overheads and increases efficiency.
The adoption of generative AI for the finance sector is becoming essential for managing data, mitigating risks and enabling data-driven decisions. Businesses embracing this solution are solving challenges faster and gaining a competitive edge in an ever-changing landscape. Many sectors are already using a form of AI to become more efficient, but generative AI is capable of doing so much more.
Optimising and future-proofing Loan Management Software (LMS) is crucial for adapting to evolving market demands and thriving in a competitive landscape. The use of AI is growing as a means to this end, but what are the key considerations for LMS providers when adopting it to achieve the best results?
The Consumer Duty has reshaped the regulatory landscape for UK financial services and is increasingly becoming the underpinning principal of the FCA’s supervisory approach. It sets high standards of consumer protection across financial services and requires firms to put their customers’ needs first. Lenders must ensure that their products deliver genuine value, protect customers from foreseeable harm, and equip them with the information necessary to make informed decisions.
The Bank of England’s latest survey on AI in financial services revealed that 75% of firms are already using artificial intelligence (AI), with a further 10% planning to use AI over the next three years. The development and implementation of AI programs requires significant financial and operational investment which not all lenders have the capabilities to undertake.
In a recent BBC interview, the EU’s Competition Chief, Margrethe Vestager, expressed her concerns about the potential for AI to amplify bias or discrimination in loan and mortgage decisions.