Artificial Intelligence

Boost your business performance by applying AI-powered lending automation

Utilize cutting-edge AI technology for your scoring needs. Make your credit decisioning process reliable by optimizing creditworthiness assessment, even when it comes to high-risk borrowers. Make the best use of advanced machine learning and deep neural networks to dramatically improve your credit decisioning's accuracy and speed.


AI algorithms can also help to more easily identify fraud and creates opportunities for improvement of the customer experience across the entire lifecycle.


Moving to AI algorithms has various advantages, including increased accuracy, enhanced compliance, and superior scalability, all of which have a significant impact on the overall stability and success of your firm. Using AI algorithms results in more predictive, accurate models, which leads to more earnings, lower losses, and more up-to-date risk assessments.AI algorithms can also help to more easily identify fraud and creates opportunities for improvement of the customer experience across the entire lifecycle.

The Value of a Integrated  Platform for implementig AI technology

 1. Data-agnostic platform that can integrate and improve your existing data sets with any other type of data set (i.e. many types of alternative data). 

2. This  seamless integration with a wide range of data sources promotes financial inclusion, manages bias, and increases the predictive potential of your models. 

3. With a integrated  platform that incorporates data, AI and decisioning, models are built and implemented in the same platform, providing  seamless data and model integration, minimazing  recoding delays and ensuring optimal performance of your models. 

4. Algorithm optimisation  Model monitoring and a continuous feedback loop assist you in fine-tuning your decisions for ongoing optimization.

Loan Application Fraud Detection

1. Make smarter underwriting decisions and faster approval process by automatical identification of fradulent loan application.
2. Using machine learning algorithm to identify various fraud pattern in financial transactiions.

 3. Establish links with past accounts activities , loans or credit lines that were defaulted on, and analyze geolocation data to spot any discrepancies in fraud detection.

Benefits of implementing Compassway AI

Credit Portfolio Management 

Self-learning algorithms


Ease of Deployment 

1. Reduce the portfolio risk measure keeping its income higher than the initial value.

2. Maximize the portfolio income keeping its risk measure lower than the initial value. The risk measure considered here is the VaR with a confidence level set.

Choose the most relevant  algorithms from a wide variety of options, including Gradient Boosting Decision Trees, Random Forests and Deep Neural Networks, depending on the nature of the dataset.

Reduce the development time from months to days by automatically training, testing, monitoring and controling  your model.

Use of a integrated platform enables seamless deployment, allowing businesses to take fast, effective action.



We used to have an older system that required more than a day to update or deploy a new risk model. In addition, credit decisions were slow. We estimated we were losing 15% of customers due to abandoned applications. For millennials, who are now a majority of our clients, responsiveness and convenience are key for lending services.
We implemented an end-to-end digital lending platform offered by CompassWay and it allowed to significantly improve customer retention. Up-to-date risk models also mean lower defaults rate and improved profitability. The system is easy to work with in case we need to add new clients or product types. We also received excellent customer support from CompassWay team. Overall very satisfied with the upgrade decision.

Denis Bobrov, CFO of CreditUP