

Finexos is set to transform the onboarding process for payment companies in the digital finance space. We provide AI tools to enhance risk detection, streamline data processing and improve decision-making. Our AI-powered credit risk engine provides efficient decision-making for faster approvals and risk checks. This can help your company streamline onboarding, improve time management and enhance the customer experience. Contact us to learn more about how our solutions can make payment decisions better for everyone.

At Finexos, we aim to enhance the process of financial credit decision-making in the consumer lending, SME, social enterprise, digital banking, payment and fintech sectors. We accomplish this by equipping lenders with the tools to not only review customer data quickly but also provide access to qualitative data outside of standard credit scores. This helps lenders have a more comprehensive view of a customer’s ability to manage payments while enhancing their decision-making.
Subscription-based payments: Payment credit decisioning software powered by AI can also predict whether a customer can meet recurring payments. By analysing behavioural data to flag potential risks, the system can identify potential risks early, which allows subscription businesses to reduce failed transactions.
eCommerce: AI-powered credit decisioning helps online businesses approve short-term financing instantly at checkout, providing a seamless experience for customers and boosting sales for retailers.
Buy now, pay later (BNPL) companies: AI payment decisioning software provides quick assessment of customers’ affordability and risk at checkout. By analysing real-time data, payment decisioning can approve or decline applications within seconds.
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.
Our AI-powered credit software provides lenders with many payment decisioning advantages. Starting with a streamlined data analysis process that can quickly approve more reliable and safe customers. AI in lending can group customers into categories based on their financial risk level. This allows lenders to assess interest rates or terms that match the risk level. By seamlessly detecting finance risk indicators within financial data, AI can assess risks more precisely and efficiently.
Applicants can benefit from not having to wait for approval and receive faster payment decisioning without a lengthy waiting period. This creates a seamless checkout process and a positive customer journey, which can increase the likelihood of repeat business.
The software can also streamline payment processing by automating routine checks, managing recurring payments and ensuring funds are allocated correctly. This means credit approvals are handled automatically with fewer checks, saving lenders significant time that would otherwise be spent on verifying data.
AI-driven credit decisioning can identify early signs of risks or irregular spending patterns that traditional models miss. This creates a proactive approach where lenders can intervene early to prevent defaults and losses. By automating key stages of credit analysis, our software can reduce errors while maintaining compliance with lending standards. To summarise, Finexos AI credit decisioning software can enhance time management, optimise data evaluation and improve lending outcomes with accurate approvals and fewer defaults.
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
Our devotion to expanding safe and reliable access to credit doesn’t stop at automation. Our advanced AI and behavioural analytics enable payment processing companies to safely expand their customer base by identifying creditworthy individuals who may be overlooked by traditional models. Our AI can provide comprehensive data to allow lenders to support creditworthy individuals who lack a conventional credit history.
Our goal is to make credit work better for customers and payment companies. We continue to work towards building a more inclusive finance system, where lenders can review reliable data to make informed decisions and provide customers with rates they can afford. This commitment to financial inclusion through AI provides lenders with real-time credit scoring to help reduce financial risk and build stronger customer loyalty.Learn more about us and our values and commitment to reducing financial risk.
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
Contact us and discover how our AI solutions can enhance your credit payment decisioning by creating an efficient, time-saving and scalable process that reduces risks, improves the customer journey and drives long-term growth. With enhanced decisioning and higher acceptance rates, we can help ensure every transaction is handled quickly and accurately. Book a free product demo to see firsthand how we can tailor our solutions to your lending and borrowing needs.
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?
Lending analytics uses data to offer valuable insights for credit unions, banks, fintech and NBFCs (non-bank financial companies) to make faster and better decisions. It efficiently evaluates, processes and completes financial analysis on loan applications.
The Financial Conduct Authority’s (FCA) Consumer Duty has redefined how financial services companies approach customer protection. At its heart are the four Consumer Duty outcomes – a framework designed to ensure products and services not only meet regulatory expectations but actively deliver good results for consumers.
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.