Credit decisioning software helps a company determine whether to approve or decline a loan applicant. The software typically contains a set of algorithms that automatically review information such as a credit score, payment history, and other relevant data to make a decision.
What to Look For In Credit Decisioning SoftwareBrowse 1,130 reviews, 1,071 case studies & customer success stories, and 311 customer videos of the best Credit Decisioning Software for your business needs
Resolve at its core improves traditional and cumbersome b2b payments.They facilitate deferred payments between businesses, but in a way that benefits both businesses. Resolve currently works with US-based manufacturers, wholesalers, …
Pegasystems Inc. is the leader in software for customer engagement and operational excellence. Pega’s adaptive, cloud-architected software – built on its unified Pega® Platform – empowers people to rapidly deploy, …
FICO is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company’s groundbreaking use of …
Experian are the leading global information services company, providing data and analytical tools to Experian's clients around the world. Experian help businesses to manage credit risk, prevent fraud, target marketing …
Abrigo provides market-leading compliance, credit risk, and lending solutions to enable its customers to think bigger, allowing them to both manage risk and drive growth. Our mission to “Make Big …
GDS Link is a global leader in credit risk management, providing technology solutions, analytical and consulting services. Their tailored, customer-centric risk management and process automation platforms are designed for the …
Alkami Technology enable financial institutions to outsmart, not outspend, the Megabanks by providing the nation’s most successful cloud-based digital banking platform. The Alkami Platform humanizes digital banking so banks and …
TurnKey Lender is a global B2B SaaS company offering an AI-powered lending automation platform and decision management solutions and services in 50+ countries. From origination and underwriting, to servicing, collection, …
ACTICO is a leading international provider of software for intelligent automation and digital decisioning. The company provides best-in-class software and tools used across multiple industries enhancing day-to-day decision-making and end-to-end …
Provenir helps fintechs and financial services providers make smarter decisions faster with our AI-Powered Data and Decisioning Platform. Provenir brings together key data, AI and decisioning capabilities to help organizations …
Alloy is your command center for identity. Alloy makes it easy for financial services companies to quickly and safely onboard and manage more customers, automating the vast majority of decisions, …
SOFT4 is an international brand for industry-specific software solutions built on the Microsoft Dynamics 365 Business Central platform. We have helped 400+ customers and 70+ partners grow and improve their …
Upstart is a leading AI lending platform partnering with banks and credit unions to expand access to affordable credit. As they transitioned to being a public company, they’re now poised …
Zest AI makes the power of machine learning safe to use in credit underwriting. Lenders using Zest make better decisions and better loans -- increasing revenue, reducing risk, and automating …
Finicity enables a financial data-sharing ecosystem that is secure, inclusive and innovative. Through its real-time financial data aggregation and insights platform, Finicity provides solutions for financial management, payments and credit …
Credit decisioning software helps a company determine whether to approve or decline a loan applicant. The software typically contains a set of algorithms that automatically review information such as a credit score, payment history, and other relevant data to make a decision. The information that goes into the decision is usually transparent, but can sometimes be proprietary to the company that developed the decisioning software. The goal of credit decisioning software is to save companies time and money, allowing them to provide better service to their customers.
Additionally, it helps lenders predict the risk of approving a loan application, and then automatically assesses the risk of denying a loan. The software looks for signals in a borrower’s credit report, such as the type and amount of credit history, and other factors, like employment, income, and assets. The software can also take into account information about the applicant, such as demographic data and the type of loan application. A denial decision is often the result of a machine learning algorithm, which is a set of rules that help the software make predictions.
The most common feature of credit decision software is the credit score. It is the number that represents a person’s credit risk. The majority of credit decision software uses a credit score to make decisions. The credit score is the most important feature in a person’s credit report.
The multiple decisioning parameters features have been designed to approve, decline, or review decisions based on several different factors, including configuring payment terms, APRS, and configuring multiple loan amounts. This software feature is also created to implement risk-based pricing.
The compliance adherence feature has been created with a variety of functions in mind. More importantly, it is audit and compliance friendly. Therefore, it gives underwriters and decision makers the capability to trace every change, and is designed with transparency of underwriting decisions in mind.
The instant decisioning feature has been designed with real-time decisioning capabilities, and it really does not matter how complex the decision logic may be. With the use of this feature, it is a scalable process that incorporates a single API call for millions of real-time transactions.
IQ risks and fraud scores feature have been designed to evaluate the risk potential in advance. This feature has been programmed to identify the most lucrative customer relationships, while also detecting and preventing any types of fraud before they happen.
It also provides feature to collect waterfall decisioning information for a company’s price efficiency. This also takes into account automated exceptions handling and gives the company the capability to integrate their decision software platform with existing web apps, loan management and data platforms.
It can be used for both simple to advanced scoring models, including SAS, Python, and AI learning machines like Random Forest.
FeaturedCustomers has 1,895,594+ validated customer references
including reviews, case studies, success stories, customer stories,
testimonials and customer videos that will help you make better
software purchasing decisions.
